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BordedDev 2025-07-08 23:05:50 +02:00
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28 changed files with 6444 additions and 505 deletions
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6
deno.json
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@ -11,11 +11,11 @@
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"fmt": { "fmt": {
"semiColons": false "semiColons": false

702
deno.lock
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@ -3,56 +3,53 @@
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@ -483,8 +665,8 @@
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@ -834,11 +1017,11 @@
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@ -861,19 +1044,36 @@
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"https://esm.sh/toad-cache@3.7.0?target=denonext": "e17c2f2729b3268a6ecb412b975002ebaa66894c2e5e0a657a38d1176a1f02d4",
"https://esm.sh/universal-github-app-jwt@2.2.0/denonext/universal-github-app-jwt.mjs": "c7cb04f796b43f163b1bcaf2b85c742d11ae724ae5ea82dbe517617c33bd0467",
"https://esm.sh/universal-github-app-jwt@2.2.0?target=denonext": "75d402511284eb488f2f2c0f39cc5122ec91c3de1a18eebe1360f2935a0e577a",
"https://esm.sh/universal-user-agent@7.0.2/denonext/universal-user-agent.mjs": "c5370728870841e1061776d12f5776929bb04945b0f8d5e4251207eab57d35ea",
"https://esm.sh/universal-user-agent@7.0.2?target=denonext": "1c7589a3ed835be8bf13e6c78c7d507af65b7945b92edbf3ad25428e60e072f4"
},
"workspace": { "workspace": {
"dependencies": [ "dependencies": [
"jsr:@eta-dev/eta@^3.5.0", "jsr:@eta-dev/eta@^3.5.0",
@ -1249,11 +1353,11 @@
"jsr:@std/collections@^1.0.10", "jsr:@std/collections@^1.0.10",
"jsr:@std/dotenv@~0.225.3", "jsr:@std/dotenv@~0.225.3",
"jsr:@std/path@^1.0.8", "jsr:@std/path@^1.0.8",
"npm:@types/node@^22.13.9", "npm:@types/node@^22.15.29",
"npm:jmespath@0.16", "npm:jmespath@0.16",
"npm:lodash-es@^4.17.21", "npm:lodash-es@^4.17.21",
"npm:node-llama-cpp@^3.6.0", "npm:node-llama-cpp@^3.10.0",
"npm:octokit@^4.1.0" "npm:octokit@^5.0.3"
] ]
} }
} }

96
src/ai/remote-functions.ts Normal file
View File

@ -0,0 +1,96 @@
import { getLogger } from "@logtape/logtape"
import {
ChatSessionModelFunctions,
defineChatSessionFunction,
GbnfJsonSchema,
} from "npm:node-llama-cpp"
type RemoteFunction = {
name: string
description: string
parameters?: Readonly<GbnfJsonSchema>
[key: string]: unknown
}
const remoteLogger = getLogger(["remote-functions"])
export async function fetchRemoteFunctions(
host = Deno.env.get("REMOTE_FUNCTIONS_HOST") ||
"http://localhost:1337/",
): Promise<ChatSessionModelFunctions> {
const url = new URL(host)
url.pathname = url.pathname.replace(/\/$/, "") + "/client/functions.json"
const response = await fetch(url.toString(), {
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${Deno.env.get("REMOTE_FUNCTIONS_TOKEN") || ""}`,
},
})
if (!response.ok) {
throw new Error(`Failed to call remote function: ${response.statusText}`)
}
const functions = await response.json() as RemoteFunction[]
if (!Array.isArray(functions)) {
throw new Error("Invalid response format, expected an array of functions")
}
return functions.reduce((acc, func) => {
if (!func.name || !func.description) {
throw new Error(
`Function ${JSON.stringify(func)} is missing required fields`,
)
}
acc[func.name] = defineChatSessionFunction({
description: func.description,
params: func.parameters,
handler: async (args) => {
try {
const url = new URL(host)
url.pathname = url.pathname.replace(/\/$/, "") +
"/client/remote-function/" + func.name
const requestBody = {
arguments: args,
}
const requestHeaders = {
"Content-Type": "application/json",
Authorization: `Bearer ${
Deno.env.get("REMOTE_FUNCTIONS_TOKEN") || ""
}`,
}
remoteLogger.info("Calling backend:", {
url: url.toString(),
headers: requestHeaders,
body: requestBody,
})
const response = await fetch(url.toString(), {
method: "POST",
headers: requestHeaders,
body: JSON.stringify(requestBody),
})
remoteLogger.info("Response status:", { status: response.status })
if (!response.ok) {
return (
`Failed to call remote function: ${response.statusText} ${await response
.text()}`
)
}
const responseText = await response.text()
remoteLogger.info("Response text:", { responseText })
return responseText
} catch (error) {
console.error(
`Error calling remote function ${func.name}: \n`,
error,
)
throw error
}
},
})
return acc
}, {} as Record<string, ReturnType<typeof defineChatSessionFunction>>)
}

23
src/msg-handlers/base-handler.ts
View File

@ -1,10 +1,12 @@
import { EventEmitter } from "node:events" import { EventEmitter } from "node:events"
import {Bot, Message, User} from "../snek/snek-socket.ts" import { Bot, Message, User } from "../snek/snek-socket.ts"
import { trim } from "npm:lodash-es" import { trim } from "npm:lodash-es"
export abstract class BaseHandler extends EventEmitter { export abstract class BaseHandler extends EventEmitter {
prefix = "msg-handler" prefix = "msg-handler"
user: User|null = null user: User | null = null
autoTyping = true
constructor(prefix: string) { constructor(prefix: string) {
super() super()
@ -16,22 +18,31 @@ export abstract class BaseHandler extends EventEmitter {
bot.on("message", async (message) => { bot.on("message", async (message) => {
try { try {
if (await this.isMatch(message)) { if (await this.isMatch(message)) {
let typingIndicator: number | undefined = undefined
if (this.autoTyping) {
typingIndicator = setInterval(() => {
bot.setTyping(message.channelUID).catch(console.error)
}, 2000)
}
try { try {
await this.handleMessage(message, bot) await this.handleMessage(message, bot)
} catch (e) { } catch (e) {
message.reply("An error occurred while handling your message") message.reply("An error occurred while handling your message")
console.error("Error handling message", e) console.error("Error handling message", e, message)
} finally {
clearInterval(typingIndicator)
} }
} }
} catch (e) { } catch (e) {
console.error("Error checking message", e) console.error("Error checking message", e, message)
} }
}) })
} }
async isMatch(message: Message): Promise<boolean> { async isMatch(message: Message): Promise<boolean> {
return message.userUID !== this.user?.uid && return message.message && message.userUID !== this.user?.uid &&
trim(message?.message, ' `').toLowerCase().startsWith(this.prefix) message.isFinal &&
trim(message?.message, " `").toLowerCase().startsWith(this.prefix)
} }
abstract handleMessage( abstract handleMessage(

163
src/msg-handlers/img-gen-handler.ts
View File

@ -1,10 +1,10 @@
import {Bot, Message} from "../snek/snek-socket.ts" import { Bot, Message } from "../snek/snek-socket.ts"
import {BaseHandler} from "./base-handler.ts" import { BaseHandler } from "./base-handler.ts"
import {ImgGen} from "../util/img-gen.ts" import { ImgGen } from "../util/img-gen.ts"
import {Eta} from "jsr:@eta-dev/eta" import { Eta } from "jsr:@eta-dev/eta"
import { trim } from "npm:lodash-es"
import { getLogger } from "@logtape/logtape" import { getLogger } from "@logtape/logtape"
import * as path from "node:path" import * as path from "node:path"
import {randomUUID} from "node:crypto";
const TEMPLATES = new Eta({ views: path.join(Deno.cwd(), "templates/img-gen") }) const TEMPLATES = new Eta({ views: path.join(Deno.cwd(), "templates/img-gen") })
@ -15,7 +15,7 @@ const logger = getLogger(["img-gen-handler"])
const parsePrompt = (prompt: string): Record<string, unknown> => { const parsePrompt = (prompt: string): Record<string, unknown> => {
try { try {
return JSON.parse(prompt) return JSON.parse(prompt)
} catch (e) { } catch (_e) {
prompt = prompt.replace(FORMATTING_WRAPPER, "$1") prompt = prompt.replace(FORMATTING_WRAPPER, "$1")
return JSON.parse(prompt) return JSON.parse(prompt)
} }
@ -23,12 +23,12 @@ const parsePrompt = (prompt: string): Record<string, unknown> => {
export class ImgGenHandler extends BaseHandler { export class ImgGenHandler extends BaseHandler {
#imageGenerator = new ImgGen() #imageGenerator = new ImgGen()
#activeTemplate = "ultra-real.eta" #activeTemplate = "ddmv4.eta"
#templateVariables: Record<string, unknown> = { #templateVariables: Record<string, unknown> = {
steps: 20, steps: 0,
seed: 0, seed: 0,
cfg: 3.0, cfg: 0,
sampler: "euler", sampler: "",
negativePrompt: "", negativePrompt: "",
batchSize: 1, batchSize: 1,
width: 1024, width: 1024,
@ -39,6 +39,12 @@ export class ImgGenHandler extends BaseHandler {
"prompt": this.prompt.bind(this), "prompt": this.prompt.bind(this),
"template": this.template.bind(this), "template": this.template.bind(this),
"variables": this.variables.bind(this), "variables": this.variables.bind(this),
"status": this.status.bind(this),
"clear": this.clear.bind(this),
"interrupt": this.interrupt.bind(this),
"delete": this.delete.bind(this),
"free": this.free.bind(this),
"help": this.help.bind(this),
} as Record<string, (command: string, message: Message, bot: Bot) => void> } as Record<string, (command: string, message: Message, bot: Bot) => void>
constructor() { constructor() {
@ -46,11 +52,15 @@ export class ImgGenHandler extends BaseHandler {
} }
override async handleMessage(message: Message, bot: Bot) { override async handleMessage(message: Message, bot: Bot) {
const newMessage = message.message.substring(this.prefix.length).trim() const newMessage = message.message.substring(
if (!newMessage) { message.message.indexOf(" "),
message.message.length,
).trim()
if (!newMessage || !message.message.includes(" ")) {
message.reply( message.reply(
"No command given, try one of: " + `No command given, try one of: ${
Object.keys(this.#subCommands).join(", "), Object.keys(this.#subCommands).join(", ")
}`,
) )
return return
} }
@ -58,16 +68,16 @@ export class ImgGenHandler extends BaseHandler {
const [[_, command, rest]] = newMessage.matchAll(/^(\S+)\s*(.*)$/gs) const [[_, command, rest]] = newMessage.matchAll(/^(\S+)\s*(.*)$/gs)
if (command in this.#subCommands) { if (command in this.#subCommands) {
this.#subCommands[command]?.(rest.trim(), message, bot) return this.#subCommands[command]?.(rest.trim(), message, bot)
return
} }
message.reply( // message.reply(
"Invalid command, assuming prompt. Otherwise these are the correct ones: " + // `Invalid command, assuming prompt. Otherwise these are the correct ones: ${
Object.keys(this.#subCommands).join(", "), // Object.keys(this.#subCommands).join(", ")
) // }`,
// )
await this.prompt(newMessage, message, bot) return this.prompt(newMessage, message, bot)
} }
async prompt(command: string, message: Message, bot: Bot) { async prompt(command: string, message: Message, bot: Bot) {
@ -75,44 +85,69 @@ export class ImgGenHandler extends BaseHandler {
message.reply("No prompt given") message.reply("No prompt given")
return return
} }
let messageId: string | undefined = undefined
try { try {
logger.info("Generating image", { command, variables: this.#templateVariables, message }) logger.info("Generating image", {
command,
variables: this.#templateVariables,
message,
})
const randomSeed = (
min: number = 0,
max: number = Number.MAX_SAFE_INTEGER,
) => Math.floor(Math.random() * (max - min + 1)) + min
const basePrompt = trim(command.replaceAll("\n", " "), " `.,\"'")
const prompt = parsePrompt( const prompt = parsePrompt(
await TEMPLATES.renderAsync(this.#activeTemplate, { await TEMPLATES.renderAsync(this.#activeTemplate, {
...this.#templateVariables, ...this.#templateVariables,
randomSeed: ( randomSeed,
min: number = 0, iterationSeed: randomSeed(),
max: number = Number.MAX_SAFE_INTEGER, prompt: basePrompt,
) => Math.floor(Math.random() * (max - min + 1)) + min,
prompt: command.replaceAll("\n", " "),
}), }),
) )
message.reply("image generated called")
const promptResults = await this.#imageGenerator.dispatchPrompt( const promptResults = await this.#imageGenerator.dispatchPrompt(
prompt, prompt,
(promptResponse) => {
messageId = promptResponse.prompt_id
message.reply(`Started generating the image with ID: ${messageId}`)
},
) )
const blob = promptResults.filter((result) => result instanceof Blob) const blob = promptResults.filter((result) => result instanceof Blob)
if (blob.length === 0) { if (blob.length === 0) {
console.log("Prompt Results: ", promptResults) console.error("No images for ", promptResults)
message.reply("Failed to generate image") message.reply(`No images were generated for ${messageId}`)
return return
} }
const files = await Promise.all( const files = await Promise.all(
blob.map(async (blob) => blob.map(async (blob) =>
new File([(await blob.arrayBuffer()).slice(8)], `${randomUUID()}.png`) new File([(await blob.arrayBuffer()).slice(8)], `${messageId}.png`)
), ),
) )
await bot.uploadFiles(message.channelUID, ...files) const upload = await bot.uploadFiles(message.channelUID, ...files)
const res = await upload.json()
message.messageChannel(
res.files.map((file) =>
`[${file.name}](/channel/attachment/${file.relative_url})`
).join("\n\n"),
)
message.reply(
`Finished generating image ${messageId} of \`${basePrompt}\``,
)
} catch (e) { } catch (e) {
console.error(e) logger.error("Failed to generate image", { error: e })
message.reply(`Failed to generate image: ${e.message}`) message.reply(
`Failed to generate image (${messageId}): ${(e as Error).message}`,
)
} }
} }
@ -151,7 +186,7 @@ export class ImgGenHandler extends BaseHandler {
this.#activeTemplate = template this.#activeTemplate = template
message.reply(`Template set to ${template}`) message.reply(`Template set to ${template}`)
} catch (e) { } catch (e) {
message.reply(`Failed to load template: ${e.message}`) message.reply(`Failed to load template: ${(e as Error).message}`)
return return
} }
} }
@ -184,4 +219,60 @@ export class ImgGenHandler extends BaseHandler {
this.#templateVariables[variable] = value this.#templateVariables[variable] = value
message.reply(`Variable set: ${variable} = ${value}`) message.reply(`Variable set: ${variable} = ${value}`)
} }
async status(command: string, message: Message, bot: Bot) {
message.reply(`Status: ${this.#imageGenerator.lastMessage}`)
}
override async isMatch(message: Message): Promise<boolean> {
if (!message.message || !message.isFinal) {
return false
}
const botName = (await message.bot.user)?.username.toLowerCase()
return await super.isMatch(message) ||
(!!message.message &&
message.message.toLowerCase().startsWith(`@${botName}`) &&
!message.message.toLowerCase().startsWith(`@${botName}:`))
}
async clear(command: string, message: Message, bot: Bot) {
await this.#imageGenerator.clearPromptQueue()
message.reply("Cleared prompt queue")
}
async interrupt(command: string, message: Message, bot: Bot) {
await this.#imageGenerator.interruptActivePrompt()
message.reply("Interrupted active prompt")
}
async free(command: string, message: Message, bot: Bot) {
await this.#imageGenerator.freeVRAM()
message.reply("vram freed")
}
async delete(command: string, message: Message, bot: Bot) {
if (!command) {
message.reply("No id given to delete")
return
}
const ids = command.split(/\s+/g)
if (ids.length === 0) {
message.reply("No IDs found")
return
}
await this.#imageGenerator.cancelPrompts(...ids)
message.reply(`Deleted prompt(s) ${ids.join(", ")}`)
}
async help(command: string, message: Message, bot: Bot) {
message.reply(
`Commands: ${Object.keys(this.#subCommands).join(", ")}\n\n` +
`Use \`${this.prefix} <command> <args>\` to use the commands.\n\n`,
)
}
} }

440
src/msg-handlers/llama-func-handler.ts Normal file
View File

@ -0,0 +1,440 @@
import { BaseHandler } from "./base-handler.ts"
import { Bot, Channel, Message } from "../snek/snek-socket.ts"
import { trim, trimStart } from "npm:lodash-es"
import {
ChatSessionModelFunctions,
ChatWrapper,
defineChatSessionFunction,
GemmaChatWrapper,
GeneralChatWrapper,
getLlama,
LLamaChatPromptOptions,
LlamaChatSession,
LlamaContext,
LlamaModel,
resolveChatWrapper,
Token,
} from "npm:node-llama-cpp"
import { getLogger } from "@logtape/logtape"
import { deepMerge } from "@std/collections/deep-merge"
import { fetchRemoteFunctions } from "../ai/remote-functions.ts"
const llama = await getLlama()
const textEncoder = new TextEncoder()
function printSync(input: string | Uint8Array, to = Deno.stdout) {
let bytesWritten = 0
const bytes = typeof input === "string" ? textEncoder.encode(input) : input
while (bytesWritten < bytes.length) {
bytesWritten += to.writeSync(bytes.subarray(bytesWritten))
}
}
const logger = getLogger(["llama-gen-handler"])
const optionsGenerator = <
const Functions extends ChatSessionModelFunctions | undefined =
| ChatSessionModelFunctions
| undefined,
LLamaOptions extends LLamaChatPromptOptions<Functions> =
LLamaChatPromptOptions<Functions>,
>(
model: LlamaModel,
debugOutput: boolean = true,
defaultTimeout = 5 * 60 * 1000,
options?: LLamaOptions,
): LLamaOptions => {
const manager = AbortSignal.timeout(defaultTimeout)
const defaultOptions = {
repeatPenalty: {
lastTokens: 24,
penalty: 1.12,
penalizeNewLine: true,
frequencyPenalty: 0.02,
presencePenalty: 0.02,
punishTokensFilter: (tokens: Token[]) => {
return tokens.filter((token) => {
const text = model.detokenize([token])
// allow the model to repeat tokens
// that contain the word "better"
return !text.toLowerCase().includes("@")
// TODO: Exclude usernames
})
},
},
temperature: 0.7,
minP: 0.03,
// topK: 64,
// topP: 0.95,
// minP: 0.01,
signal: manager,
stopOnAbortSignal: true,
} as LLamaOptions
if (debugOutput) {
defaultOptions.onResponseChunk = (chunk) => {
options?.onResponseChunk?.(chunk)
const isThoughtSegment = chunk.type === "segment" &&
chunk.segmentType === "thought"
if (
chunk.type === "segment" && chunk.segmentStartTime != null
) {
printSync(` [segment start: ${chunk.segmentType}] `)
}
printSync(chunk.text)
if (chunk.type === "segment" && chunk.segmentEndTime != null) {
printSync(` [segment end: ${chunk.segmentType}] `)
}
}
}
return deepMerge(defaultOptions, options ?? {})
}
export class LLamaFuncHandler extends BaseHandler {
joinMode = new Map<string, boolean>()
streamMode = false
debugLogResponses = true
systemPrompt: string
#activeModel: string
#model: LlamaModel | null = null
#context: LlamaContext | null = null
#chatWrapper: ChatWrapper | null = null
#session: LlamaChatSession | null = null
#subCommands = {
"prompt": this.prompt.bind(this),
"join": this.join.bind(this),
"stream": this.stream.bind(this),
"reset": this.reset.bind(this),
} as Record<string, (command: string, message: Message, bot: Bot) => void>
constructor(
activeModel: string,
systemPrompt: string = "You are an AI chatbot.",
) {
super("")
this.#activeModel = activeModel
this.systemPrompt = systemPrompt
this.autoTyping = false
}
async calculateSystemPrompt(): Promise<string> {
return this.systemPrompt
}
override async bind(bot: Bot): Promise<void> {
await super.bind(bot)
this.prefix = this.user!.username.toLowerCase()
this.#model = await llama.loadModel({
modelPath: this.#activeModel,
defaultContextFlashAttention: true,
})
this.#context = await this.#model.createContext({
flashAttention: true,
})
logger.info("Model loaded", {
batchSize: this.#context.batchSize,
contextSize: this.#context.contextSize,
})
this.#chatWrapper = //new Llama3ChatWrapper()
resolveChatWrapper(this.#model) ?? new GeneralChatWrapper()
this.#session = new LlamaChatSession({
contextSequence: this.#context.getSequence(),
chatWrapper: this.#chatWrapper,
systemPrompt: await this.calculateSystemPrompt(),
})
// const channels = await bot.channels
// const channel = channels.find((v) => v.tag === "public") || channels[0]
// if (channel) {
// await bot.sendMessage(
// channel.uid,
// await this.cleanResponse(
// await this.#session.prompt(
// "Welcome to chat, greet everyone\n",
// optionsGenerator(this.#model, this.debugLogResponses),
// ),
// null,
// bot,
// ),
// )
// this.#session.resetChatHistory()
// }
// logger.info("LLamaHandler bound to bot")
}
cachedChannels: Channel[] | null = null
async isInJoinMode(channelUID: string, bot: Bot): Promise<boolean> {
if (!this.joinMode.has(channelUID)) {
if (!this.cachedChannels) {
this.cachedChannels = await bot.channels
}
const channel = this.cachedChannels?.find((c) => c.uid === channelUID)
if (channel) {
this.joinMode.set(channelUID, channel.tag === "dm")
} else {
logger.warn("Channel not found in cached channels", { channelUID })
this.cachedChannels = await bot.channels
}
}
return this.joinMode.get(channelUID) ?? false
}
override async isMatch(message: Message): Promise<boolean> {
return message
.userUID !== this.user?.uid &&
message.isFinal &&
(await this.isInJoinMode(message.channelUID, message.bot) ||
trim(message?.message, " `").toLowerCase().includes(this.prefix))
}
async cleanResponse(
response: string,
message: Message | null,
bot: Bot,
): Promise<string> {
const session = this.#session
const user = this.user
response = trim(response.replace(/<think>.*?<\/think>/gs, ""), '" \t')
let lwResponse = response.toLowerCase()
if (lwResponse.startsWith("ai")) {
response = response.substring(2).trim()
lwResponse = response.toLowerCase()
}
if (user && lwResponse.startsWith(`@${user.username.toLowerCase()}:`)) {
response = response.substring(user.username.length + 2).trim()
lwResponse = response.toLowerCase()
}
if (
message && lwResponse.startsWith(`@${message.username.toLowerCase()}:`)
) {
response = response.substring(message.username.length + 2).trim()
lwResponse = response.toLowerCase()
}
if (user && lwResponse.startsWith(`${user.username.toLowerCase()}:`)) {
response = response.substring(user.username.length + 2).trim()
lwResponse = response.toLowerCase()
}
if (
message && lwResponse.startsWith(`${message.username.toLowerCase()}:`)
) {
response = response.substring(message.username.length + 2).trim()
lwResponse = response.toLowerCase()
}
response = trimStart(response, ":").trim()
response = trim(response, '"')
return response
}
async join(command: string, message: Message, bot: Bot): Promise<void> {
this.joinMode.set(
message.channelUID,
!await this.isInJoinMode(message.channelUID, bot),
)
}
async stream(command: string, message: Message, bot: Bot): Promise<void> {
this.streamMode = !this.streamMode
}
async reset(command: string, message: Message, bot: Bot): Promise<void> {
const session = this.#session
if (!session) {
return
}
await session.resetChatHistory()
bot.sendMessage(
message.channelUID,
await this.cleanResponse(
await session.prompt(
"Your memory was just reset. Welcome to chat, greet everyone\n",
optionsGenerator(this.#model!, this.debugLogResponses),
),
message,
bot,
),
)
await session.resetChatHistory()
}
async prompt(command: string, message: Message, bot: Bot): Promise<void> {
const session = this.#session
const user = this.user
if (!session || !user) {
return
}
let msgSoFar = ""
let sentMessageInfo: Promise<unknown> | null = null
let streamId: number | undefined = undefined
if (this.streamMode) {
streamId = setInterval(async () => {
if (
msgSoFar.length < 1 ||
(msgSoFar.startsWith("@") && !msgSoFar.includes(" "))
) {
return
}
sentMessageInfo = sentMessageInfo?.then(async (msgInfo) => {
const msg = await this.cleanResponse(msgSoFar, message, bot)
try {
const msgRes = await bot.updateMessageText(
msgInfo as string,
msg,
)
if ("error" in msgRes) {
console.error("Error updating message text", msgRes)
msgSoFar = ""
return bot.sendMessage(message.channelUID, msg)
}
} catch (data) {
console.error(data)
}
return msgInfo
}) ??
bot.sendMessage(
message.channelUID,
await this.cleanResponse(msgSoFar, message, bot),
)
}, 50)
}
console.log("Prompting model", {
model: this.#activeModel,
command,
message,
user: user.username,
})
let response = await session.prompt(
`@${message.username}: ${message.message}`,
optionsGenerator(this.#model!, this.debugLogResponses, 5 * 60 * 1000, {
onTextChunk: (text) => {
bot.setTyping(message.channelUID).catch(() => {})
msgSoFar += text
if (this.streamMode) {
// sentMessageInfo = sentMessageInfo
// ? sentMessageInfo.then(([msgInfo, msg]) => {
// const newMsg = msg + text
// return this.cleanResponse(newMsg, message, bot).then((msg) => {
// return bot.updateMessageText(
// msgInfo,
// msg,
// ).catch(console.error).then(() => [msgInfo, newMsg])
// })
// })
// : bot.sendMessage(
// message.channelUID,
// text,
// ).then((msg) => [msg as string, text])
}
},
functions: {
generateImage: defineChatSessionFunction({
description: "Generate an image from a prompt",
params: {
type: "object",
properties: {
prompt: {
type: "string",
description: "The prompt to generate the image from",
},
},
required: ["prompt"],
},
handler: async ({ prompt }) => {
bot.sendMessage(message.channelUID, "@abot prompt " + prompt)
},
}),
now: defineChatSessionFunction({
description: "Get the current time",
params: {
type: "object",
properties: {},
},
handler: async () => {
const now = new Date()
return now.toLocaleString()
},
}),
...(await fetchRemoteFunctions().catch((e) => {
logger.error("Failed to fetch remote functions", { error: e })
return ({})
})),
},
}),
)
response = await this.cleanResponse(response, message, bot)
clearInterval(streamId)
if (sentMessageInfo) {
const msgInfo = await sentMessageInfo
bot.updateMessageText(
msgInfo,
response,
)
} else {
bot.sendMessage(message.channelUID, response)
}
}
override async handleMessage(message: Message, bot: Bot): Promise<void> {
const user = this.user
if (!user) {
return
}
if (
message.message.toLowerCase().startsWith(
`@${user.username.toLowerCase()}`,
)
) {
const newMessage = message.message.substring(
message.message.indexOf(" "),
message.message.length,
).trim()
if (newMessage && message.message.includes(" ")) {
const [[_, command, rest]] = newMessage.matchAll(/^(\S+)\s*(.*)$/gs)
if (command in this.#subCommands) {
return this.#subCommands[command]?.(rest.trim(), message, bot)
}
}
}
return this.prompt(message.message, message, bot)
}
}

304
src/msg-handlers/llama-handler.ts
View File

@ -1,20 +1,21 @@
import {BaseHandler} from "./base-handler.ts" import { BaseHandler } from "./base-handler.ts"
import {Bot, Message} from "../snek/snek-socket.ts" import { Bot, Message } from "../snek/snek-socket.ts"
import {trim, trimStart} from "npm:lodash-es" import { trim, trimStart } from "npm:lodash-es"
import { import {
ChatSessionModelFunctions, ChatSessionModelFunctions,
ChatWrapper, ChatWrapper,
GeneralChatWrapper, defineChatSessionFunction,
getLlama, GeneralChatWrapper,
LLamaChatPromptOptions, getLlama,
LlamaChatSession, LLamaChatPromptOptions,
LlamaContext, LlamaChatSession,
LlamaModel, LlamaContext,
resolveChatWrapper, LlamaModel,
Token, resolveChatWrapper,
Token,
} from "npm:node-llama-cpp" } from "npm:node-llama-cpp"
import {getLogger} from "@logtape/logtape" import { getLogger } from "@logtape/logtape"
import {deepMerge} from "@std/collections/deep-merge" import { deepMerge } from "@std/collections/deep-merge"
const llama = await getLlama() const llama = await getLlama()
@ -30,17 +31,20 @@ function printSync(input: string | Uint8Array, to = Deno.stdout) {
const logger = getLogger(["llama-gen-handler"]) const logger = getLogger(["llama-gen-handler"])
const optionsGenerator = < const optionsGenerator = <
const Functions extends ChatSessionModelFunctions | undefined = undefined, const Functions extends ChatSessionModelFunctions | undefined =
LLamaOptions = LLamaChatPromptOptions<Functions> | ChatSessionModelFunctions
| undefined,
LLamaOptions extends LLamaChatPromptOptions<Functions> =
LLamaChatPromptOptions<Functions>,
>( >(
model: LlamaModel, model: LlamaModel,
debugOutput: boolean = true, debugOutput: boolean = true,
defaultTimeout = 5 * 60 * 1000, defaultTimeout = 5 * 60 * 1000,
options?: LLamaOptions, options?: LLamaOptions,
): LLamaChatPromptOptions<Functions> => { ): LLamaOptions => {
const manager = AbortSignal.timeout(defaultTimeout) const manager = AbortSignal.timeout(defaultTimeout)
const defaultOptions: LLamaChatPromptOptions<Functions> = { const defaultOptions = {
repeatPenalty: { repeatPenalty: {
lastTokens: 24, lastTokens: 24,
penalty: 1.12, penalty: 1.12,
@ -54,18 +58,20 @@ const optionsGenerator = <
// allow the model to repeat tokens // allow the model to repeat tokens
// that contain the word "better" // that contain the word "better"
return !text.toLowerCase().includes("@") return !text.toLowerCase().includes("@")
// TODO: Exclude usernames // TODO: Exclude usernames
}) })
}, },
}, },
temperature: 0.6, temperature: 0.7,
minP: 0.03,
signal: manager, signal: manager,
stopOnAbortSignal: true, stopOnAbortSignal: true,
} } as LLamaOptions
if (debugOutput) { if (debugOutput) {
defaultOptions.onResponseChunk = (chunk) => { defaultOptions.onResponseChunk = (chunk) => {
options?.onResponseChunk?.(chunk)
const isThoughtSegment = chunk.type === "segment" && const isThoughtSegment = chunk.type === "segment" &&
chunk.segmentType === "thought" chunk.segmentType === "thought"
@ -83,11 +89,12 @@ const optionsGenerator = <
} }
} }
return deepMerge(defaultOptions, options ?? {}) return deepMerge(defaultOptions, options ?? {})
} }
export class LLamaHandler extends BaseHandler { export class LLamaHandler extends BaseHandler {
joinMode = false joinMode = false
streamMode = false
debugLogResponses = true debugLogResponses = true
systemPrompt: string systemPrompt: string
@ -100,14 +107,23 @@ export class LLamaHandler extends BaseHandler {
#chatWrapper: ChatWrapper | null = null #chatWrapper: ChatWrapper | null = null
#session: LlamaChatSession | null = null #session: LlamaChatSession | null = null
#subCommands = {
"prompt": this.prompt.bind(this),
"join": this.join.bind(this),
"stream": this.stream.bind(this),
"reset": this.reset.bind(this),
} as Record<string, (command: string, message: Message, bot: Bot) => void>
constructor( constructor(
activeModel: string, activeModel: string,
systemPrompt: string = "You are an AI chatbot.", systemPrompt: string = "You are an AI chatbot.",
joinMode: boolean = false,
) { ) {
super("") super("")
this.#activeModel = activeModel this.#activeModel = activeModel
this.systemPrompt = systemPrompt this.systemPrompt = systemPrompt
this.joinMode = joinMode
this.autoTyping = false
} }
async calculateSystemPrompt(): Promise<string> { async calculateSystemPrompt(): Promise<string> {
@ -116,7 +132,7 @@ export class LLamaHandler extends BaseHandler {
override async bind(bot: Bot): Promise<void> { override async bind(bot: Bot): Promise<void> {
await super.bind(bot) await super.bind(bot)
this.prefix = "@" + this.user?.username.toLowerCase() this.prefix = this.user!.username.toLowerCase()
this.#model = await llama.loadModel({ this.#model = await llama.loadModel({
modelPath: this.#activeModel, modelPath: this.#activeModel,
@ -131,23 +147,9 @@ export class LLamaHandler extends BaseHandler {
batchSize: this.#context.batchSize, batchSize: this.#context.batchSize,
contextSize: this.#context.contextSize, contextSize: this.#context.contextSize,
}) })
console.log("Model loaded", {
batchSize: this.#context.batchSize,
contextSize: this.#context.contextSize,
})
this.#chatWrapper = //new Llama3ChatWrapper() this.#chatWrapper = //new Llama3ChatWrapper()
resolveChatWrapper({ resolveChatWrapper(this.#model) ?? new GeneralChatWrapper()
bosString: this.#model
.tokens
.bosString,
filename: this.#model
.filename,
fileInfo: this.#model
.fileInfo,
tokenizer: this.#model
.tokenizer,
}) ?? new GeneralChatWrapper()
this.#session = new LlamaChatSession({ this.#session = new LlamaChatSession({
contextSequence: this.#context.getSequence(), contextSequence: this.#context.getSequence(),
@ -160,35 +162,38 @@ export class LLamaHandler extends BaseHandler {
const channel = channels.find((v) => v.tag === "public") || channels[0] const channel = channels.find((v) => v.tag === "public") || channels[0]
if (channel) { if (channel) {
await bot.sendMessage( // await bot.sendMessage(
channel.uid, // channel.uid,
await this.#session.prompt( // await this.cleanResponse(
"Welcome to chat, greet everyone\n", // await this.#session.prompt(
optionsGenerator(this.#model, this.debugLogResponses), // "Welcome to chat, greet everyone\n",
), // optionsGenerator(this.#model, this.debugLogResponses),
) // ),
this.#session.resetChatHistory() // null,
// bot,
// ),
// )
// this.#session.resetChatHistory()
} }
logger.info("LLamaHandler bound to bot")
} }
override async isMatch(message: Message): Promise<boolean> { override async isMatch(message: Message): Promise<boolean> {
return message.userUID !== this.user?.uid && (this.joinMode || return message.userUID !== this.user?.uid && message.isFinal &&
trim(message?.message, " `").toLowerCase().includes(this.prefix)) (this.joinMode ||
trim(message?.message, " `").toLowerCase().includes(this.prefix))
} }
override async handleMessage(message: Message, bot: Bot): Promise<void> { async cleanResponse(
response: string,
message: Message | null,
bot: Bot,
): Promise<string> {
const session = this.#session const session = this.#session
const user = this.user const user = this.user
if (!session || !user) {
return
}
let response = await session.prompt( response = trim(response.replace(/<think>.*?<\/think>/gs, ""), '" \t')
`@${message.username}: ${message.message}`,
optionsGenerator(this.#model!, this.debugLogResponses),
)
response = response.replace(/<think>.*?<\/think>/gs, "")
let lwResponse = response.toLowerCase() let lwResponse = response.toLowerCase()
if (lwResponse.startsWith("ai")) { if (lwResponse.startsWith("ai")) {
@ -196,17 +201,192 @@ export class LLamaHandler extends BaseHandler {
lwResponse = response.toLowerCase() lwResponse = response.toLowerCase()
} }
if (lwResponse.startsWith(`@${user.username.toLowerCase()}`)) { if (user && lwResponse.startsWith(`@${user.username.toLowerCase()}`)) {
response = response.substring(user.username.length + 1).trim() response = response.substring(user.username.length + 1).trim()
lwResponse = response.toLowerCase() lwResponse = response.toLowerCase()
} }
if (lwResponse.startsWith(`@${message.username.toLowerCase()}`)) { if (
message && lwResponse.startsWith(`@${message.username.toLowerCase()}`)
) {
response = response.substring(message.username.length + 1).trim()
lwResponse = response.toLowerCase()
}
if (user && lwResponse.startsWith(`${user.username.toLowerCase()}`)) {
response = response.substring(user.username.length + 1).trim()
lwResponse = response.toLowerCase()
}
if (message && lwResponse.startsWith(`${message.username.toLowerCase()}`)) {
response = response.substring(message.username.length + 1).trim() response = response.substring(message.username.length + 1).trim()
lwResponse = response.toLowerCase() lwResponse = response.toLowerCase()
} }
response = trimStart(response, ":").trim() response = trimStart(response, ":").trim()
bot.send("send_message", message.channelUID, response) response = trim(response, '"')
return response
}
async join(command: string, message: Message, bot: Bot): Promise<void> {
this.joinMode = !this.joinMode
}
async stream(command: string, message: Message, bot: Bot): Promise<void> {
this.streamMode = !this.streamMode
}
async reset(command: string, message: Message, bot: Bot): Promise<void> {
const session = this.#session
if (!session) {
return
}
await session.resetChatHistory()
bot.sendMessage(
message.channelUID,
await this.cleanResponse(
await session.prompt(
"Your memory was just reset. Welcome to chat, greet everyone\n",
optionsGenerator(this.#model!, this.debugLogResponses),
),
message,
bot,
),
)
await session.resetChatHistory()
}
async prompt(command: string, message: Message, bot: Bot): Promise<void> {
const session = this.#session
const user = this.user
if (!session || !user) {
return
}
let msgSoFar = ""
let sentMessageInfo: Promise<unknown> | null = null
let streamId: number | undefined = undefined
if (this.streamMode) {
streamId = setInterval(async () => {
if (
msgSoFar.length < 1 ||
(msgSoFar.startsWith("@") && !msgSoFar.includes(" "))
) {
return
}
sentMessageInfo = sentMessageInfo?.then(async (msgInfo) => {
const msg = await this.cleanResponse(msgSoFar, message, bot)
try {
const msgRes = await bot.updateMessageText(
msgInfo as string,
msg,
)
if ("error" in msgRes) {
console.error("Error updating message text", msgRes)
msgSoFar = ""
return bot.sendMessage(message.channelUID, msg)
}
} catch (data) {
console.error(data)
}
return msgInfo
})
?? bot.sendMessage(
message.channelUID,
await this.cleanResponse(msgSoFar, message, bot),
)
}, 50)
}
let response = await session.prompt(
`@${message.username}: ${message.message}`,
optionsGenerator(this.#model!, this.debugLogResponses, 5 * 60 * 1000, {
onTextChunk: (text) => {
bot.setTyping(message.channelUID).catch(() => {})
msgSoFar += text
if (this.streamMode) {
// sentMessageInfo = sentMessageInfo
// ? sentMessageInfo.then(([msgInfo, msg]) => {
// const newMsg = msg + text
// return this.cleanResponse(newMsg, message, bot).then((msg) => {
// return bot.updateMessageText(
// msgInfo,
// msg,
// ).catch(console.error).then(() => [msgInfo, newMsg])
// })
// })
// : bot.sendMessage(
// message.channelUID,
// text,
// ).then((msg) => [msg as string, text])
}
},
functions: {
generateImage: defineChatSessionFunction({
description: "Generate an image from a prompt",
params: {
type: "object",
properties: {
prompt: {
type: "string",
description: "The prompt to generate the image from",
},
},
required: ["prompt"],
},
handler: async ({ prompt }) => {
bot.sendMessage(message.channelUID, "@abot prompt " + prompt)
},
}),
},
}),
)
response = await this.cleanResponse(response, message, bot)
clearInterval(streamId)
if (sentMessageInfo) {
const msgInfo = await sentMessageInfo
bot.updateMessageText(
msgInfo,
response,
)
} else {
bot.sendMessage(message.channelUID, response)
}
}
override async handleMessage(message: Message, bot: Bot): Promise<void> {
const user = this.user
if (!user) {
return
}
if (
message.message.toLowerCase().startsWith(
`@${user.username.toLowerCase()}`,
)
) {
const newMessage = message.message.substring(
message.message.indexOf(" "),
message.message.length,
).trim()
if (newMessage && message.message.includes(" ")) {
const [[_, command, rest]] = newMessage.matchAll(/^(\S+)\s*(.*)$/gs)
if (command in this.#subCommands) {
return this.#subCommands[command]?.(rest.trim(), message, bot)
}
}
}
return this.prompt(message.message, message, bot)
} }
} }

146
src/snek/snek-socket.ts
View File

@ -1,8 +1,8 @@
import {EventEmitter} from "node:events" import { EventEmitter } from "node:events"
import {debounce} from "npm:lodash-es" import { debounce, isString } from "npm:lodash-es"
import {getLogger} from "@logtape/logtape" import { getLogger } from "@logtape/logtape"
const logger = getLogger(["ws-socket"]) const logger = getLogger(["snek-socket"])
export const BASE_URL = "https://molodetz.online/login.json" export const BASE_URL = "https://molodetz.online/login.json"
@ -12,7 +12,7 @@ const baseRequest = async (
password: string, password: string,
) => { ) => {
const loginPayloadRed = await fetch(BASE_URL) const loginPayloadRed = await fetch(BASE_URL)
console.log(loginPayloadRed) // console.log(loginPayloadRed)
const basePayload = await loginPayloadRed.json() const basePayload = await loginPayloadRed.json()
basePayload.fields.username.value = username basePayload.fields.username.value = username
@ -75,9 +75,11 @@ export interface Channel {
tag: string tag: string
} }
const SILENT_MESSAGES = ["set_typing", "ping", "pong", 'is_final": false']
export class Message { export class Message {
message: string message: string
html: string html: string | undefined
userUID: string userUID: string
color: string color: string
channelUID: string channelUID: string
@ -86,6 +88,7 @@ export class Message {
username: string username: string
uid: string uid: string
userNick: string userNick: string
isFinal: boolean | undefined
bot: Bot bot: Bot
@ -100,10 +103,15 @@ export class Message {
this.username = data.username this.username = data.username
this.uid = data.uid this.uid = data.uid
this.userNick = data.user_nick this.userNick = data.user_nick
this.isFinal = data.is_final
this.bot = bot this.bot = bot
} }
reply(message: string) { reply(message: string) {
return this.messageChannel(`@${this.username}: ${message}`)
}
messageChannel(message: string) {
return this.bot.send("send_message", this.channelUID, message) return this.bot.send("send_message", this.channelUID, message)
} }
} }
@ -141,9 +149,21 @@ export class Bot extends EventEmitter<
return this.send<Channel[]>("get_channels") return this.send<Channel[]>("get_channels")
} }
cachedUserPromise: Promise<User> | null = null
cachedUserTime: number | null = null
get user() { get user() {
return this.send<User>("get_user", null) if (this.cachedUserPromise && this.cachedUserTime) {
const now = new Date().getTime()
if (now - this.cachedUserTime < 1000 * 60 * 30) {
return this.cachedUserPromise
}
}
this.cachedUserPromise = this.send<User>("get_user", null)
this.cachedUserTime = new Date().getTime()
return this.cachedUserPromise
} }
get messages() { get messages() {
return this.send("get_messages", null) return this.send("get_messages", null)
} }
@ -173,7 +193,10 @@ export class Bot extends EventEmitter<
const ws = this.#ws const ws = this.#ws
if (ws && ws.readyState === ws.OPEN) { if (ws && ws.readyState === ws.OPEN) {
const callId = Math.random().toString(36).slice(2) const callId = Math.random().toString(36).slice(2)
logger.debug("Sending message", { name, args, callId }) const silentMessage = SILENT_MESSAGES.some((v) => name.includes(v))
if (!silentMessage) {
logger.debug("Sending message", { name, args, callId })
}
const res = Promise.withResolvers<T>() const res = Promise.withResolvers<T>()
this.#processingMessages.set(callId, { this.#processingMessages.set(callId, {
data: res as PromiseWithResolvers<unknown>, data: res as PromiseWithResolvers<unknown>,
@ -195,30 +218,42 @@ export class Bot extends EventEmitter<
}) })
return new Promise((resolve, reject) => { return new Promise((resolve, reject) => {
setTimeout(() => { setTimeout(async () => {
this.connect().then(() => this.send(name, ...args)).catch(reject).then(resolve) try {
await this.connect()
resolve(await this.send(name, ...args))
} catch (e) {
reject(e)
}
}, 1000) }, 1000)
}) })
}) })
} }
return Promise.reject(new Error("Connection not open")) return this.connect().then(() => {
return this.send(name, ...args)
})
} }
receive(data: string) { receive(data: string) {
const silentMessages = (SILENT_MESSAGES.some((v) => data.includes(v))) &&
!data.includes("error")
if (!silentMessages) {
// logger.debug("Received message", { data })
}
const parsedData = JSON.parse(data) const parsedData = JSON.parse(data)
const callId = parsedData.callId const callId = parsedData.callId
const message = this.#processingMessages.get(callId) const message = this.#processingMessages.get(callId)
if (message) { if (message) {
logger.debug("Resolving message", { if (!silentMessages && !(parsedData?.success && !parsedData?.data)) {
data: parsedData.data, logger.debug("Resolving remote call", parsedData)
callId, }
raw: parsedData,
})
message.data.resolve(parsedData.data) message.data.resolve(parsedData.data)
this.#processingMessages.delete(callId) this.#processingMessages.delete(callId)
} else { } else if (parsedData?.message) {
logger.debug("Emitting message", parsedData) if (!silentMessages) {
logger.debug("Received message", parsedData)
}
this.emit("message", new Message(parsedData, this)) this.emit("message", new Message(parsedData, this))
} }
} }
@ -226,7 +261,9 @@ export class Bot extends EventEmitter<
connect = debounce( connect = debounce(
function (this: Bot) { function (this: Bot) {
if (this.#ws) { if (this.#ws) {
return this.send("get_user", null) return this.send("get_user", null).catch(() => {
return this.connect()
})
} }
logger.debug("Connecting to", { url: this.#url }) logger.debug("Connecting to", { url: this.#url })
const connectedPromise = Promise.withResolvers<unknown>() const connectedPromise = Promise.withResolvers<unknown>()
@ -239,8 +276,9 @@ export class Bot extends EventEmitter<
) )
} }
this.#ws.onmessage = (event) => { this.#ws.onmessage = (event) => {
logger.debug("Received message", { data: event.data }) if (isString(event.data)) {
this.receive(event.data) this.receive(event.data)
}
} }
this.#ws.onclose = (event) => { this.#ws.onclose = (event) => {
@ -259,7 +297,9 @@ export class Bot extends EventEmitter<
this.#processingMessages.clear() this.#processingMessages.clear()
if (this.autoReconnect) { if (this.autoReconnect) {
this.connect() setTimeout(() => {
this.connect().catch(() => {})
}, 1000)
} }
} }
@ -273,23 +313,71 @@ export class Bot extends EventEmitter<
{ leading: true, trailing: true }, { leading: true, trailing: true },
) )
stop() {
if (this.#ws) {
this.#ws.close()
this.#ws = null
}
}
sendMessage(channelUID: string, message: string) { sendMessage(channelUID: string, message: string) {
return this.send("send_message", channelUID, message) return this.send("send_message", channelUID, message)
} }
updateMessageText(
messageUID: string,
message: string,
) {
return this.send("update_message_text", messageUID, message)
}
async setTyping(channelUID: string, colour?: string) {
if (!colour) {
const user = await this.user
colour = user.color
}
return this.send("set_typing", channelUID, colour)
}
async uploadFiles(channelUID: string, ...files: File[]) { async uploadFiles(channelUID: string, ...files: File[]) {
if (files.length === 0) {
throw new Error("No files to upload")
}
const imageForm = new FormData() const imageForm = new FormData()
imageForm.append("channel_uid", channelUID) // imageForm.append("channel_uid", channelUID)
for (const file of files) { for (const file of files) {
imageForm.append("files[]", file) imageForm.append("files[]", file)
} }
return await fetch("https://molodetz.online/drive.bin", { return await fetch(
method: "POST", `https://molodetz.online/channel/${channelUID}/attachment.bin`,
body: imageForm, {
headers: { method: "POST",
"Cookie": await this.authCookie, body: imageForm,
headers: {
"Cookie": await this.authCookie as string,
},
}, },
}) )
}
ping() {
return this.send("ping", "online")
}
_pingInterval: number | null = null
startAppearingOnline() {
this.ping().catch(() => {})
this._pingInterval = setInterval(() => {
this.ping().catch(() => {})
}, 1000 * 60)
}
stopAppearingOnline() {
if (this._pingInterval) {
clearInterval(this._pingInterval)
this._pingInterval = null
}
} }
} }

164
src/util/img-gen.ts
View File

@ -1,15 +1,24 @@
import {randomUUID} from "node:crypto" import { randomUUID } from "node:crypto"
import {getLogger} from "@logtape/logtape" import { getLogger } from "@logtape/logtape"
const logger = getLogger(["img-gen"]) const logger = getLogger(["img-gen"])
type PromptResponse = {
prompt_id: string
number: number
node_error: Record<string, unknown>
}
export class ImgGen { export class ImgGen {
#host: string #host: string
#clientId = randomUUID() #clientId = randomUUID()
#ws: WebSocket #ws: WebSocket | null = null
lastMessage: string | null = null
#promptQueue = new Map< #promptQueue = new Map<
string, string,
{ promise: PromiseWithResolvers<unknown[]>; msgs: unknown[] } { promise: PromiseWithResolvers<unknown[]>; msgs: unknown[]; id: string }
>() >()
constructor(host: string = "127.0.0.1:8188") { constructor(host: string = "127.0.0.1:8188") {
@ -17,7 +26,7 @@ export class ImgGen {
this.#initiateWebSocket() this.#initiateWebSocket()
} }
async queuePrompt(prompt: string) { async queuePrompt(prompt: string): Promise<PromptResponse> {
const response = await fetch(`http://${this.#host}/prompt`, { const response = await fetch(`http://${this.#host}/prompt`, {
method: "POST", method: "POST",
headers: { "Content-Type": "application/json" }, headers: { "Content-Type": "application/json" },
@ -43,8 +52,8 @@ export class ImgGen {
#initiateWebSocket() { #initiateWebSocket() {
if ( if (
!this.#ws || this.#ws.readyState === this.#ws.CLOSED || !this.#ws || this.#ws.readyState === WebSocket.CLOSED ||
this.#ws.readyState === this.#ws.CLOSING this.#ws.readyState === WebSocket.CLOSING
) { ) {
const res = Promise.withResolvers<void>() const res = Promise.withResolvers<void>()
this.#ws = new WebSocket( this.#ws = new WebSocket(
@ -52,33 +61,43 @@ export class ImgGen {
) )
let lastExportId: string | null = null let lastExportId: string | null = null
this.#ws.addEventListener("message", (event) => { this.#ws.addEventListener("message", (event) => {
if (typeof event.data === "string") { try {
console.log("Received message", event, event.data) if (typeof event.data === "string") {
const data = JSON.parse(event.data) this.lastMessage = event.data
const res = this.#promptQueue.get(data.data.prompt_id) const data = JSON.parse(event.data)
if (res) { logger.info("Received message", { data })
res.msgs.push(data) const res = this.#promptQueue.get(data.data.prompt_id)
if (data.type === "execution_success") { if (res) {
res.promise.resolve(res.msgs) res.msgs.push(data)
this.#promptQueue.delete(data.data.prompt_id) if (data.type === "execution_success") {
} else if (data.type === "executing") { res.promise.resolve(res.msgs)
if (data.data.node === "save_image_websocket_node") { this.#promptQueue.delete(data.data.prompt_id)
lastExportId = data.data.prompt_id } else if (data.type === "executing") {
if (data.data.node === "save_image_websocket_node") {
lastExportId = data.data.prompt_id
}
}
}
} else {
logger.info("Received img message, assuming part of image export", {
lastExportId,
})
this.lastMessage =
`Received binary data (assuming image) for ${lastExportId}`
if (lastExportId) {
const res = this.#promptQueue.get(lastExportId)
if (res) {
res.msgs.push(event.data)
} }
} }
} }
} else { } catch (e) {
console.error( logger.error("Error processing WebSocket message", {
"Received img message",
event, event,
"assuming is part of", error: e,
lastExportId, })
) for (const [_, { promise }] of this.#promptQueue) {
if (lastExportId) { promise.reject(e)
const res = this.#promptQueue.get(lastExportId)
if (res) {
res.msgs.push(event.data)
}
} }
} }
}) })
@ -100,34 +119,91 @@ export class ImgGen {
}) })
this.#ws.addEventListener("error", (e) => { this.#ws.addEventListener("error", (e) => {
logger.error("WebSocket error", {e}) logger.error("WebSocket error", { e })
}) })
return res.promise return res.promise
} else if (this.#ws.readyState === this.#ws.CONNECTING) { } else if (this.#ws.readyState === WebSocket.CONNECTING) {
return new Promise<void>((resolve) => { const res = Promise.withResolvers<void>()
this.#ws.addEventListener("open", () => { this.#ws.addEventListener("open", () => {
resolve() res.resolve()
}, { once: true }) }, { once: true })
}) return res.promise
} }
return Promise.resolve() return Promise.resolve()
} }
async dispatchPrompt(prompt: Record<string, unknown> | string) { async dispatchPrompt(
prompt: Record<string, unknown> | string,
enqueueCallback: (promptResponse: PromptResponse) => Promise<void> | void =
() => {},
): Promise<unknown[]> {
const res = Promise.withResolvers<unknown[]>() const res = Promise.withResolvers<unknown[]>()
await this.#initiateWebSocket() if (this.#ws?.readyState !== WebSocket.OPEN) {
if (this.#ws.readyState !== this.#ws.OPEN) {
return Promise.reject(new Error("WebSocket not open")) return Promise.reject(new Error("WebSocket not open"))
} }
const promptData = await this.queuePrompt(prompt as string) await this.#initiateWebSocket()
console.log("Prompt data", promptData)
this.#promptQueue.set(promptData.prompt_id, { promise: res, msgs: [] }) let promptData: Awaited<ReturnType<typeof this.queuePrompt>>
try {
promptData = await this.queuePrompt(prompt as string)
logger.info("Prompt data", promptData)
} catch (e) {
logger.error("Failed to enqueue prompt", { e })
res.reject(e)
return res.promise
}
this.#promptQueue.set(promptData.prompt_id, {
promise: res,
msgs: [],
id: promptData.prompt_id,
})
try {
await enqueueCallback(promptData)
} catch (e) {
logger.error("Callback errored", { e })
}
return res.promise return res.promise
} }
async interruptActivePrompt() {
const response = await fetch(`http://${this.#host}/interrupt`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ client_id: this.#clientId }),
})
return response.ok
}
async clearPromptQueue() {
const response = await fetch(`http://${this.#host}/queue`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ client_id: this.#clientId, clear: true }),
})
return response.ok
}
async cancelPrompts(...ids: string[]) {
const response = await fetch(`http://${this.#host}/queue`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ client_id: this.#clientId, delete: ids }),
})
return response.ok
}
async freeVRAM() {
const response = await fetch(`http://${this.#host}/free`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ client_id: this.#clientId }),
})
return response.ok
}
} }

19
src/util/logging.ts
View File

@ -1,16 +1,18 @@
import {configure, getConsoleSink} from "@logtape/logtape"; import {
configure,
defaultConsoleFormatter,
getConsoleSink,
} from "@logtape/logtape"
import { isEmpty } from "lodash-es"
await configure({ await configure({
sinks: { sinks: {
console: getConsoleSink( console: getConsoleSink(
{ {
formatter: (logEvent) => { formatter: (logEvent) => {
const { timestamp, level, category, message, properties } = logEvent const { properties } = logEvent
return `${timestamp} [${level.toUpperCase()}] [${category}] ${message} ${ const baseLog = defaultConsoleFormatter(logEvent)
properties && Object.keys(properties).length return [...baseLog, isEmpty(properties) ? "" : properties]
? JSON.stringify(properties)
: ""
}`
}, },
}, },
), ),
@ -20,6 +22,7 @@ await configure({
{ category: "img-gen", lowestLevel: "debug", sinks: ["console"] }, { category: "img-gen", lowestLevel: "debug", sinks: ["console"] },
{ category: "img-gen-handler", lowestLevel: "debug", sinks: ["console"] }, { category: "img-gen-handler", lowestLevel: "debug", sinks: ["console"] },
{ category: "llama-gen-handler", lowestLevel: "debug", sinks: ["console"] }, { category: "llama-gen-handler", lowestLevel: "debug", sinks: ["console"] },
{ category: "ws-socket", lowestLevel: "debug", sinks: ["console"] }, { category: "snek-socket", lowestLevel: "debug", sinks: ["console"] },
{ category: "remote-functions", lowestLevel: "debug", sinks: ["console"] },
], ],
}) })

18
src/ws-snek-basic-bot.ts Normal file
View File

@ -0,0 +1,18 @@
import "@std/dotenv/load"
import "./util/logging.ts"
import { Bot } from "./snek/snek-socket.ts"
const bot = new Bot(
Deno.env.get("SNEK_USERNAME")!,
Deno.env.get("SNEK_PASSWORD")!,
)
await bot.connect()
const user = await bot.user
console.log("We are user: ", user, await bot.authCookie)
await Promise.all([])
bot.startAppearingOnline()

12
src/ws-snek-image-bot.ts
View File

@ -1,9 +1,11 @@
import "@std/dotenv/load" import "@std/dotenv/load"
import "./util/logging.ts" import "./util/logging.ts"
import {Bot} from "./snek/snek-socket.ts" import { Bot } from "./snek/snek-socket.ts"
import {PingHandler} from "./msg-handlers/ping-handler.ts"; import { PingHandler } from "./msg-handlers/ping-handler.ts"
import {ImgGenHandler} from "./msg-handlers/img-gen-handler.ts"; import { ImgGenHandler } from "./msg-handlers/img-gen-handler.ts"
import { getLogger } from "@logtape/logtape"
const logger = getLogger("ws-snek-llama-func-bot")
const bot = new Bot( const bot = new Bot(
Deno.env.get("SNEK_USERNAME")!, Deno.env.get("SNEK_USERNAME")!,
Deno.env.get("SNEK_PASSWORD")!, Deno.env.get("SNEK_PASSWORD")!,
@ -13,7 +15,9 @@ await bot.connect()
const user = await bot.user const user = await bot.user
console.log("We are user: ", user, await bot.authCookie) logger.info("We are user: ", { user, authCookie: await bot.authCookie })
new PingHandler().bind(bot) new PingHandler().bind(bot)
new ImgGenHandler().bind(bot) new ImgGenHandler().bind(bot)
bot.startAppearingOnline()

8
src/ws-snek-llama-bot.ts
View File

@ -1,8 +1,8 @@
import "@std/dotenv/load" import "@std/dotenv/load"
import "./util/logging.ts" import "./util/logging.ts"
import {Bot} from "./snek/snek-socket.ts" import { Bot } from "./snek/snek-socket.ts"
import {PingHandler} from "./msg-handlers/ping-handler.ts"; import { PingHandler } from "./msg-handlers/ping-handler.ts"
import {LLamaHandler} from "./msg-handlers/llama-handler.ts"; import { LLamaHandler } from "./msg-handlers/llama-handler.ts"
const bot = new Bot( const bot = new Bot(
Deno.env.get("SNEK_USERNAME")!, Deno.env.get("SNEK_USERNAME")!,
@ -22,3 +22,5 @@ await Promise.all([
Deno.env.get("SNEK_LLAMA_SYSTEM_PROMPT")!, Deno.env.get("SNEK_LLAMA_SYSTEM_PROMPT")!,
).bind(bot), ).bind(bot),
]) ])
bot.startAppearingOnline()

28
src/ws-snek-llama-func-bot.ts Normal file
View File

@ -0,0 +1,28 @@
import "@std/dotenv/load"
import "./util/logging.ts"
import { Bot } from "./snek/snek-socket.ts"
import { PingHandler } from "./msg-handlers/ping-handler.ts"
import { LLamaFuncHandler } from "./msg-handlers/llama-func-handler.ts"
import { getLogger } from "@logtape/logtape"
const logger = getLogger("ws-snek-llama-func-bot")
const bot = new Bot(
Deno.env.get("SNEK_USERNAME")!,
Deno.env.get("SNEK_PASSWORD")!,
)
await bot.connect()
const user = await bot.user
logger.info("We are user: ", { user, authCookie: await bot.authCookie })
await Promise.all([
new PingHandler().bind(bot),
new LLamaFuncHandler(
Deno.env.get("SNEK_LLAMA_MODEL")!,
Deno.env.get("SNEK_LLAMA_SYSTEM_PROMPT")!,
).bind(bot),
])
bot.startAppearingOnline()

39
src/ws-snek-perf-check.ts Normal file
View File

@ -0,0 +1,39 @@
import "@std/dotenv/load"
import "./util/logging.ts"
import { Bot } from "./snek/snek-socket.ts"
const bot = new Bot(
Deno.env.get("SNEK_USERNAME")!,
Deno.env.get("SNEK_PASSWORD")!,
)
await bot.connect()
const user = await bot.user
console.log("We are user: ", user, await bot.authCookie)
const channel = await bot.channels
console.log("We are in channel: ", channel)
const activeChannel = channel.find((c) => c.tag != "dm")!.uid
const endTime = new Date()
// 5 seconds
endTime.setSeconds(endTime.getSeconds() + 5)
let counter = 0
let messageCollect = []
while (new Date() < endTime) {
messageCollect.push(
bot.sendMessage(activeChannel, `Test message ${counter++}`),
)
}
await Promise.all(messageCollect)
console.log("Finished sending messages", counter)
bot.stop()

219
templates/img-gen/RandomAnime.eta Normal file
View File

@ -0,0 +1,219 @@
{
"6": {
"inputs": {
"ckpt_name": "randomanime_Illust.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"7": {
"inputs": {
"text": "<%= it.negativePrompt || 'score_4_up, score_5_up, worst quality,bad quality,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,turnaround,2koma,4koma,monster,cropped,amputee,text,bad foreshortening,what,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views, non detailed eyes' %>"
},
"class_type": "Text Multiline",
"_meta": {
"title": "Negative"
}
},
"8": {
"inputs": {
"prompt": "<%= it.prompt || 'masterpiece, best quality, score_9, score_8_up' %>",
"seed": [
"9",
0
]
},
"class_type": "Wildcard Processor",
"_meta": {
"title": "wildcard processor(Pos prompt)"
}
},
"9": {
"inputs": {
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "Seed Everywhere",
"_meta": {
"title": "Seed Everywhere"
}
},
"12": {
"inputs": {
"steps": <%= it.steps || 20 %>,
"cfg": <%= it.cfg || 8 %>,
"sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "beta",
"denoise": 1,
"model": [
"16",
0
],
"positive": [
"17",
0
],
"negative": [
"19",
0
],
"latent_image": [
"23",
0
],
"seed": [
"9",
0
]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"13": {
"inputs": {
"samples": [
"12",
0
],
"vae": [
"6",
2
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"16": {
"inputs": {
"text": [
"8",
0
],
"model": [
"6",
0
],
"clip": [
"6",
1
]
},
"class_type": "LoraTagLoader",
"_meta": {
"title": "Load LoRA Tag"
}
},
"17": {
"inputs": {
"text": [
"16",
2
],
"clip": [
"18",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"18": {
"inputs": {
"stop_at_clip_layer": -2,
"clip": [
"16",
1
]
},
"class_type": "CLIPSetLastLayer",
"_meta": {
"title": "CLIP Set Last Layer"
}
},
"19": {
"inputs": {
"text": [
"7",
0
],
"clip": [
"18",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"21": {
"inputs": {
"images": [
"13",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"22": {
"inputs": {
"filename_prefix": "RandomAnime",
"images": [
"13",
0
]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
},
"23": {
"inputs": {
"batch_size": <%= it.batchSize || 1 %>,
"seed": [
"9",
0
]
},
"class_type": "RandomEmptyLatentImageFromPresetsSDXL",
"_meta": {
"title": "Random Empty Latent Image From Presets (SDXL)"
}
},
"24": {
"inputs": {
"text": [
"8",
0
],
"text2": "masterpiece, best quality, score_9, score_8_up"
},
"class_type": "ShowText|pysssss",
"_meta": {
"title": "Show Text 🐍"
}
},
"save_image_websocket_node": {
"inputs": {
"images": [
"13",
0
]
},
"class_type": "SaveImageWebsocket",
"_meta": {
"title": "SaveImageWebsocket"
}
}
}

495
templates/img-gen/SD3.5-large-alt-improv.eta Normal file
View File

@ -0,0 +1,495 @@
{
"4": {
"inputs": {
"ckpt_name": "stableDiffusion35_large.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"6": {
"inputs": {
"text": "<%= it.prompt %>",
"clip": [
"11",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"8": {
"inputs": {
"samples": [
"294",
0
],
"vae": [
"4",
2
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"11": {
"inputs": {
"clip_name1": "long_clip/ViT-L-14-TEXT-detail-improved-hiT-GmP-HF.safetensors",
"clip_name2": "clip_g.safetensors",
"clip_name3": "t5/google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors"
},
"class_type": "TripleCLIPLoader",
"_meta": {
"title": "TripleCLIPLoader"
}
},
"13": {
"inputs": {
"shift": 3,
"model": [
"4",
0
]
},
"class_type": "ModelSamplingSD3",
"_meta": {
"title": "ModelSamplingSD3"
}
},
"67": {
"inputs": {
"conditioning": [
"71",
0
]
},
"class_type": "ConditioningZeroOut",
"_meta": {
"title": "ConditioningZeroOut"
}
},
"68": {
"inputs": {
"start": 0.1,
"end": 1,
"conditioning": [
"67",
0
]
},
"class_type": "ConditioningSetTimestepRange",
"_meta": {
"title": "ConditioningSetTimestepRange"
}
},
"69": {
"inputs": {
"conditioning_1": [
"68",
0
],
"conditioning_2": [
"70",
0
]
},
"class_type": "ConditioningCombine",
"_meta": {
"title": "Conditioning (Combine)"
}
},
"70": {
"inputs": {
"start": 0,
"end": 0.1,
"conditioning": [
"71",
0
]
},
"class_type": "ConditioningSetTimestepRange",
"_meta": {
"title": "ConditioningSetTimestepRange"
}
},
"71": {
"inputs": {
"text": "<%= it.negativePrompt ||'' %>",
"clip": [
"11",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"294": {
"inputs": {
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 20 %>,
"cfg": <%= it.cfg || 2 %>,
"sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 1,
"model": [
"13",
0
],
"positive": [
"6",
0
],
"negative": [
"69",
0
],
"latent_image": [
"302",
0
]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"301": {
"inputs": {
"filename_prefix": "SD3.5_Large_improved_",
"images": [
"325",
0
]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
},
"302": {
"inputs": {
"batch_size": <%= it.batchSize || 1 %>,
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "RandomEmptyLatentImageFromPresetsSDXL",
"_meta": {
"title": "Random Empty Latent Image From Presets (SDXL)"
}
},
"304": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "CPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"305": {
"inputs": {
"max_faces": 10,
"face": true,
"mouth": false,
"left_eyebrow": false,
"left_eye": false,
"left_pupil": false,
"right_eyebrow": false,
"right_eye": false,
"right_pupil": false
},
"class_type": "MediaPipeFaceMeshDetectorProvider //Inspire",
"_meta": {
"title": "MediaPipeFaceMesh Detector Provider"
}
},
"306": {
"inputs": {
"model_name": "segm/person_yolov8m-seg.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"308": {
"inputs": {
"model_name": "bbox/hand_yolov8s.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"309": {
"inputs": {
"images": [
"324",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"310": {
"inputs": {
"images": [
"324",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"311": {
"inputs": {
"images": [
"324",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"312": {
"inputs": {
"images": [
"324",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"314": {
"inputs": {
"images": [
"325",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"315": {
"inputs": {
"images": [
"325",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"316": {
"inputs": {
"images": [
"325",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"317": {
"inputs": {
"images": [
"325",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"321": {
"inputs": {
"images": [
"8",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"324": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 20 %>,
"cfg": <%= it.cfg || 2 %>,
"sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 0.5,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"8",
0
],
"model": [
"13",
0
],
"clip": [
"11",
0
],
"vae": [
"4",
2
],
"positive": [
"6",
0
],
"negative": [
"69",
0
],
"bbox_detector": [
"305",
0
],
"sam_model_opt": [
"304",
0
],
"segm_detector_opt": [
"305",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"325": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 20 %>,
"cfg": <%= it.cfg || 2 %>,
"sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 0.5,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"324",
0
],
"model": [
"13",
0
],
"clip": [
"11",
0
],
"vae": [
"4",
2
],
"positive": [
"6",
0
],
"negative": [
"69",
0
],
"bbox_detector": [
"308",
0
],
"sam_model_opt": [
"304",
0
],
"segm_detector_opt": [
"306",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"save_image_websocket_node": {
"inputs": {
"images": [
"325",
0
]
},
"class_type": "SaveImageWebsocket",
"_meta": {
"title": "SaveImageWebsocket"
}
}
}

10
templates/img-gen/SD3.5-large-alt.eta
View File

@ -39,9 +39,9 @@
}, },
"11": { "11": {
"inputs": { "inputs": {
"clip_name1": "long_clip\\ViT-L-14-TEXT-detail-improved-hiT-GmP-HF.safetensors", "clip_name1": "long_clip/ViT-L-14-TEXT-detail-improved-hiT-GmP-HF.safetensors",
"clip_name2": "clip_g.safetensors", "clip_name2": "clip_g.safetensors",
"clip_name3": "t5\\google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors" "clip_name3": "t5/google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors"
}, },
"class_type": "TripleCLIPLoader", "class_type": "TripleCLIPLoader",
"_meta": { "_meta": {
@ -144,10 +144,10 @@
"294": { "294": {
"inputs": { "inputs": {
"seed": <%= it.seed || it.randomSeed() %>, "seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 2 %>, "steps": <%= it.steps || 20 %>,
"cfg": <%= it.cfg || 1 %>, "cfg": <%= it.cfg || 2 %>,
"sampler_name": "<%= it.sampler || "euler" %>", "sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "beta", "scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 1, "denoise": 1,
"model": [ "model": [
"13", "13",

6
templates/img-gen/SD3.5-large-turbo.eta
View File

@ -144,10 +144,10 @@
"294": { "294": {
"inputs": { "inputs": {
"seed": <%= it.seed || it.randomSeed() %>, "seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 2 %>, "steps": <%= it.steps || 20 %>,
"cfg": <%= it.cfg || 1 %>, "cfg": <%= it.cfg || 2 %>,
"sampler_name": "<%= it.sampler || "euler" %>", "sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "beta", "scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 1, "denoise": 1,
"model": [ "model": [
"13", "13",

6
templates/img-gen/SD3.5-large.eta
View File

@ -144,10 +144,10 @@
"294": { "294": {
"inputs": { "inputs": {
"seed": <%= it.seed || it.randomSeed() %>, "seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 2 %>, "steps": <%= it.steps || 20 %>,
"cfg": <%= it.cfg || 1 %>, "cfg": <%= it.cfg || 2 %>,
"sampler_name": "<%= it.sampler || "euler" %>", "sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "beta", "scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 1, "denoise": 1,
"model": [ "model": [
"13", "13",

495
templates/img-gen/SD3.5-medium-alt-improv.eta Normal file
View File

@ -0,0 +1,495 @@
{
"4": {
"inputs": {
"ckpt_name": "stableDiffusion35_medium.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"6": {
"inputs": {
"text": "<%= it.prompt %>",
"clip": [
"11",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"8": {
"inputs": {
"samples": [
"294",
0
],
"vae": [
"4",
2
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"11": {
"inputs": {
"clip_name1": "long_clip/ViT-L-14-TEXT-detail-improved-hiT-GmP-HF.safetensors",
"clip_name2": "clip_g.safetensors",
"clip_name3": "t5/google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors"
},
"class_type": "TripleCLIPLoader",
"_meta": {
"title": "TripleCLIPLoader"
}
},
"13": {
"inputs": {
"shift": 3,
"model": [
"4",
0
]
},
"class_type": "ModelSamplingSD3",
"_meta": {
"title": "ModelSamplingSD3"
}
},
"67": {
"inputs": {
"conditioning": [
"71",
0
]
},
"class_type": "ConditioningZeroOut",
"_meta": {
"title": "ConditioningZeroOut"
}
},
"68": {
"inputs": {
"start": 0.1,
"end": 1,
"conditioning": [
"67",
0
]
},
"class_type": "ConditioningSetTimestepRange",
"_meta": {
"title": "ConditioningSetTimestepRange"
}
},
"69": {
"inputs": {
"conditioning_1": [
"68",
0
],
"conditioning_2": [
"70",
0
]
},
"class_type": "ConditioningCombine",
"_meta": {
"title": "Conditioning (Combine)"
}
},
"70": {
"inputs": {
"start": 0,
"end": 0.1,
"conditioning": [
"71",
0
]
},
"class_type": "ConditioningSetTimestepRange",
"_meta": {
"title": "ConditioningSetTimestepRange"
}
},
"71": {
"inputs": {
"text": "<%= it.negativePrompt ||'' %>",
"clip": [
"11",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"294": {
"inputs": {
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 20 %>,
"cfg": <%= it.cfg || 2 %>,
"sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 1,
"model": [
"13",
0
],
"positive": [
"6",
0
],
"negative": [
"69",
0
],
"latent_image": [
"302",
0
]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"301": {
"inputs": {
"filename_prefix": "SD3.5_Medium_improved_",
"images": [
"325",
0
]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
},
"302": {
"inputs": {
"batch_size": <%= it.batchSize || 1 %>,
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "RandomEmptyLatentImageFromPresetsSDXL",
"_meta": {
"title": "Random Empty Latent Image From Presets (SDXL)"
}
},
"304": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "CPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"305": {
"inputs": {
"max_faces": 10,
"face": true,
"mouth": false,
"left_eyebrow": false,
"left_eye": false,
"left_pupil": false,
"right_eyebrow": false,
"right_eye": false,
"right_pupil": false
},
"class_type": "MediaPipeFaceMeshDetectorProvider //Inspire",
"_meta": {
"title": "MediaPipeFaceMesh Detector Provider"
}
},
"306": {
"inputs": {
"model_name": "segm/person_yolov8m-seg.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"308": {
"inputs": {
"model_name": "bbox/hand_yolov8s.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"309": {
"inputs": {
"images": [
"324",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"310": {
"inputs": {
"images": [
"324",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"311": {
"inputs": {
"images": [
"324",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"312": {
"inputs": {
"images": [
"324",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"314": {
"inputs": {
"images": [
"325",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"315": {
"inputs": {
"images": [
"325",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"316": {
"inputs": {
"images": [
"325",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"317": {
"inputs": {
"images": [
"325",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"321": {
"inputs": {
"images": [
"8",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"324": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 20 %>,
"cfg": <%= it.cfg || 2 %>,
"sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 0.5,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"8",
0
],
"model": [
"13",
0
],
"clip": [
"11",
0
],
"vae": [
"4",
2
],
"positive": [
"6",
0
],
"negative": [
"69",
0
],
"bbox_detector": [
"305",
0
],
"sam_model_opt": [
"304",
0
],
"segm_detector_opt": [
"305",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"325": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 20 %>,
"cfg": <%= it.cfg || 2 %>,
"sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 0.5,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"324",
0
],
"model": [
"13",
0
],
"clip": [
"11",
0
],
"vae": [
"4",
2
],
"positive": [
"6",
0
],
"negative": [
"69",
0
],
"bbox_detector": [
"308",
0
],
"sam_model_opt": [
"304",
0
],
"segm_detector_opt": [
"306",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"save_image_websocket_node": {
"inputs": {
"images": [
"325",
0
]
},
"class_type": "SaveImageWebsocket",
"_meta": {
"title": "SaveImageWebsocket"
}
}
}

533
templates/img-gen/crow-pony-detailed.eta Normal file
View File

@ -0,0 +1,533 @@
{
"6": {
"inputs": {
"ckpt_name": "CrowPonyQp_ponyV7.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"7": {
"inputs": {
"text": "<%= it.negativePrompt || 'score_4_up, score_5_up, worst quality,bad quality,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,turnaround,2koma,4koma,monster,cropped,amputee,text,bad foreshortening,what,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views, non detailed eyes' %>"
},
"class_type": "Text Multiline",
"_meta": {
"title": "Negative"
}
},
"8": {
"inputs": {
"prompt": "<%= it.prompt %>",
"seed": [
"9",
0
]
},
"class_type": "Wildcard Processor",
"_meta": {
"title": "wildcard processor(Pos prompt)"
}
},
"9": {
"inputs": {
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "Seed Everywhere",
"_meta": {
"title": "Seed Everywhere"
}
},
"12": {
"inputs": {
"seed": [
"9",
0
],
"steps": <%= it.steps || 40 %>,
"cfg": <%= it.cfg || 6 %>,
"sampler_name": "<%= it.sampler || 'dpmpp_2m_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 1,
"model": [
"16",
0
],
"positive": [
"17",
0
],
"negative": [
"19",
0
],
"latent_image": [
"23",
0
]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"13": {
"inputs": {
"samples": [
"12",
0
],
"vae": [
"6",
2
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"16": {
"inputs": {
"text": [
"8",
0
],
"model": [
"25",
0
],
"clip": [
"25",
1
]
},
"class_type": "LoraTagLoader",
"_meta": {
"title": "Load LoRA Tag"
}
},
"17": {
"inputs": {
"text": [
"16",
2
],
"clip": [
"18",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"18": {
"inputs": {
"stop_at_clip_layer": -2,
"clip": [
"16",
1
]
},
"class_type": "CLIPSetLastLayer",
"_meta": {
"title": "CLIP Set Last Layer"
}
},
"19": {
"inputs": {
"text": [
"7",
0
],
"clip": [
"18",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"21": {
"inputs": {
"images": [
"13",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"22": {
"inputs": {
"filename_prefix": "crow_pony_",
"images": [
"33",
0
]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
},
"23": {
"inputs": {
"batch_size": 1,
"seed": [
"9",
0
]
},
"class_type": "RandomEmptyLatentImageFromPresetsSDXL",
"_meta": {
"title": "Random Empty Latent Image From Presets (SDXL)"
}
},
"24": {
"inputs": {
"text": [
"8",
0
],
"text2": "<%= it.prompt %>"
},
"class_type": "ShowText|pysssss",
"_meta": {
"title": "Show Text 🐍"
}
},
"25": {
"inputs": {
"lora_name": "zy_Realism_Enhancer_v2.safetensors",
"strength_model": 0.9000000000000001,
"strength_clip": 0.9000000000000001,
"model": [
"6",
0
],
"clip": [
"6",
1
]
},
"class_type": "LoraLoader",
"_meta": {
"title": "Load LoRA"
}
},
"26": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "Prefer GPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"27": {
"inputs": {
"max_faces": 10,
"face": true,
"mouth": false,
"left_eyebrow": false,
"left_eye": false,
"left_pupil": false,
"right_eyebrow": false,
"right_eye": false,
"right_pupil": false
},
"class_type": "MediaPipeFaceMeshDetectorProvider //Inspire",
"_meta": {
"title": "MediaPipeFaceMesh Detector Provider"
}
},
"28": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 40 %>,
"cfg": <%= it.cfg || 6 %>,
"sampler_name": "<%= it.sampler || 'dpmpp_2m_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 0.35000000000000003,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"13",
0
],
"model": [
"16",
0
],
"clip": [
"18",
0
],
"vae": [
"6",
2
],
"positive": [
"17",
0
],
"negative": [
"19",
0
],
"bbox_detector": [
"27",
0
],
"sam_model_opt": [
"26",
0
],
"segm_detector_opt": [
"27",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"30": {
"inputs": {
"images": [
"28",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"31": {
"inputs": {
"images": [
"28",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"32": {
"inputs": {
"images": [
"28",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"33": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 40 %>,
"cfg": <%= it.cfg || 6 %>,
"sampler_name": "<%= it.sampler || 'dpmpp_2m_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 0.35000000000000003,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"28",
0
],
"model": [
"16",
0
],
"clip": [
"18",
0
],
"vae": [
"6",
2
],
"positive": [
"17",
0
],
"negative": [
"19",
0
],
"bbox_detector": [
"39",
0
],
"sam_model_opt": [
"40",
0
],
"segm_detector_opt": [
"41",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"34": {
"inputs": {
"images": [
"33",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"35": {
"inputs": {
"images": [
"33",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"36": {
"inputs": {
"images": [
"33",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"37": {
"inputs": {
"images": [
"33",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"38": {
"inputs": {
"images": [
"28",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"39": {
"inputs": {
"model_name": "bbox/hand_yolov8s.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"40": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "Prefer GPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"41": {
"inputs": {
"model_name": "segm/person_yolov8m-seg.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"save_image_websocket_node": {
"inputs": {
"images": [
"33",
0
]
},
"class_type": "SaveImageWebsocket",
"_meta": {
"title": "SaveImageWebsocket"
}
}
}

533
templates/img-gen/cyber-illust-detailed.eta Normal file
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@ -0,0 +1,533 @@
{
"6": {
"inputs": {
"ckpt_name": "cyberrealisticXL_v53.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"7": {
"inputs": {
"text": "<%= it.negativePrompt || 'score_4_up, score_5_up, worst quality,bad quality,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,turnaround,2koma,4koma,monster,cropped,amputee,text,bad foreshortening,what,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views, non detailed eyes, embedding:CyberRealistic_Negative_SDXL-neg' %>"
},
"class_type": "Text Multiline",
"_meta": {
"title": "Negative"
}
},
"8": {
"inputs": {
"prompt": "<%= it.prompt %>",
"seed": [
"9",
0
]
},
"class_type": "Wildcard Processor",
"_meta": {
"title": "wildcard processor(Pos prompt)"
}
},
"9": {
"inputs": {
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "Seed Everywhere",
"_meta": {
"title": "Seed Everywhere"
}
},
"12": {
"inputs": {
"seed": [
"9",
0
],
"steps": <%= it.steps || 40 %>,
"cfg": <%= it.cfg || 5 %>,
"sampler_name": "<%= it.sampler || 'dpmpp_2m_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 1,
"model": [
"16",
0
],
"positive": [
"17",
0
],
"negative": [
"19",
0
],
"latent_image": [
"23",
0
]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"13": {
"inputs": {
"samples": [
"12",
0
],
"vae": [
"6",
2
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"16": {
"inputs": {
"text": [
"8",
0
],
"model": [
"25",
0
],
"clip": [
"25",
1
]
},
"class_type": "LoraTagLoader",
"_meta": {
"title": "Load LoRA Tag"
}
},
"17": {
"inputs": {
"text": [
"16",
2
],
"clip": [
"18",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"18": {
"inputs": {
"stop_at_clip_layer": -2,
"clip": [
"16",
1
]
},
"class_type": "CLIPSetLastLayer",
"_meta": {
"title": "CLIP Set Last Layer"
}
},
"19": {
"inputs": {
"text": [
"7",
0
],
"clip": [
"18",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"21": {
"inputs": {
"images": [
"13",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"22": {
"inputs": {
"filename_prefix": "cyber_illust_",
"images": [
"33",
0
]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
},
"23": {
"inputs": {
"batch_size": 1,
"seed": [
"9",
0
]
},
"class_type": "RandomEmptyLatentImageFromPresetsSDXL",
"_meta": {
"title": "Random Empty Latent Image From Presets (SDXL)"
}
},
"24": {
"inputs": {
"text": [
"8",
0
],
"text2": "<%= it.prompt %>"
},
"class_type": "ShowText|pysssss",
"_meta": {
"title": "Show Text 🐍"
}
},
"25": {
"inputs": {
"lora_name": "Add_Details_v1.2.safetensors",
"strength_model": 2.5,
"strength_clip": 2.5,
"model": [
"6",
0
],
"clip": [
"6",
1
]
},
"class_type": "LoraLoader",
"_meta": {
"title": "Load LoRA"
}
},
"26": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "Prefer GPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"27": {
"inputs": {
"max_faces": 10,
"face": true,
"mouth": false,
"left_eyebrow": false,
"left_eye": false,
"left_pupil": false,
"right_eyebrow": false,
"right_eye": false,
"right_pupil": false
},
"class_type": "MediaPipeFaceMeshDetectorProvider //Inspire",
"_meta": {
"title": "MediaPipeFaceMesh Detector Provider"
}
},
"28": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 40 %>,
"cfg": <%= it.cfg || 5 %>,
"sampler_name": "<%= it.sampler || 'dpmpp_2m_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 0.35000000000000003,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"13",
0
],
"model": [
"16",
0
],
"clip": [
"18",
0
],
"vae": [
"6",
2
],
"positive": [
"17",
0
],
"negative": [
"19",
0
],
"bbox_detector": [
"27",
0
],
"sam_model_opt": [
"26",
0
],
"segm_detector_opt": [
"27",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"30": {
"inputs": {
"images": [
"28",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"31": {
"inputs": {
"images": [
"28",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"32": {
"inputs": {
"images": [
"28",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"33": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 40 %>,
"cfg": <%= it.cfg || 5 %>,
"sampler_name": "<%= it.sampler || 'dpmpp_2m_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 0.35000000000000003,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"28",
0
],
"model": [
"16",
0
],
"clip": [
"18",
0
],
"vae": [
"6",
2
],
"positive": [
"17",
0
],
"negative": [
"19",
0
],
"bbox_detector": [
"39",
0
],
"sam_model_opt": [
"40",
0
],
"segm_detector_opt": [
"41",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"34": {
"inputs": {
"images": [
"33",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"35": {
"inputs": {
"images": [
"33",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"36": {
"inputs": {
"images": [
"33",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"37": {
"inputs": {
"images": [
"33",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"38": {
"inputs": {
"images": [
"28",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"39": {
"inputs": {
"model_name": "bbox/hand_yolov8s.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"40": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "Prefer GPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"41": {
"inputs": {
"model_name": "segm/person_yolov8m-seg.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"save_image_websocket_node": {
"inputs": {
"images": [
"33",
0
]
},
"class_type": "SaveImageWebsocket",
"_meta": {
"title": "SaveImageWebsocket"
}
}
}

734
templates/img-gen/ddmv4.eta Normal file
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@ -0,0 +1,734 @@
{
"2": {
"inputs": {
"filename_prefix": "DDMv4_",
"images": [
"36",
0
]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
},
"3": {
"inputs": {
"batch_size": 1,
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "RandomEmptyLatentImageFromPresetsSDXL",
"_meta": {
"title": "Random Empty Latent Image From Presets (SDXL)"
}
},
"4": {
"inputs": {
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 40 %>,
"cfg": <%= it.cfg || 5 %>,
"sampler_name": "<%= it.sampler || 'dpmpp_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 1,
"model": [
"13",
0
],
"positive": [
"7",
0
],
"negative": [
"5",
0
],
"latent_image": [
"3",
0
]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"5": {
"inputs": {
"text": "<%= it.negativePrompt || 'score_4_up, score_5_up, worst quality,bad quality,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,turnaround,2koma,4koma,cropped,amputee,bad foreshortening,what,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views, non detailed eyes, ugly, airbrushed, simple background, cgi, cartoon, anime, bad, ugly' %>",
"clip": [
"17",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "Negative Prompt"
}
},
"7": {
"inputs": {
"text": [
"49",
0
],
"clip": [
"17",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "Positive Prompt"
}
},
"10": {
"inputs": {
"images": [
"36",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"11": {
"inputs": {
"samples": [
"4",
0
],
"vae": [
"13",
2
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"save_image_websocket_node": {
"inputs": {
"images": [
"36",
0
]
},
"class_type": "SaveImageWebsocket",
"_meta": {
"title": "SaveImageWebsocket"
}
},
"13": {
"inputs": {
"ckpt_name": "donutsdeliverymixV4_v41.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"15": {
"inputs": {
"images": [
"11",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"17": {
"inputs": {
"clip_name": "longclip-L.pt",
"clip": [
"13",
1
]
},
"class_type": "SeaArtLongXLClipMerge",
"_meta": {
"title": "SeaArtLongXLClipMerge"
}
},
"20": {
"inputs": {
"model_name": "segm/person_yolov8m-seg.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"21": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "Prefer GPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"22": {
"inputs": {
"model_name": "bbox/hand_yolov8s.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"24": {
"inputs": {
"max_faces": 10,
"face": true,
"mouth": false,
"left_eyebrow": false,
"left_eye": false,
"left_pupil": false,
"right_eyebrow": false,
"right_eye": false,
"right_pupil": false
},
"class_type": "MediaPipeFaceMeshDetectorProvider //Inspire",
"_meta": {
"title": "MediaPipeFaceMesh Detector Provider"
}
},
"25": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "Prefer GPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"27": {
"inputs": {
"images": [
"39",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"28": {
"inputs": {
"images": [
"39",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"29": {
"inputs": {
"images": [
"39",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"30": {
"inputs": {
"images": [
"39",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"31": {
"inputs": {
"images": [
"36",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"32": {
"inputs": {
"images": [
"36",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"33": {
"inputs": {
"images": [
"36",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"34": {
"inputs": {
"images": [
"36",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"35": {
"inputs": {
"model": [
"13",
0
],
"clip": [
"17",
0
],
"vae": [
"13",
2
],
"positive": [
"7",
0
],
"negative": [
"5",
0
]
},
"class_type": "ToBasicPipe",
"_meta": {
"title": "ToBasicPipe"
}
},
"36": {
"inputs": {
"guide_size": 1024,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": 8,
"cfg": 3,
"sampler_name": "<%= it.sampler || 'dpmpp_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 0.45,
"feather": 10,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"refiner_ratio": 0.2,
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"42",
0
],
"detailer_pipe": [
"58",
0
]
},
"class_type": "FaceDetailerPipe",
"_meta": {
"title": "FaceDetailer (pipe)"
}
},
"37": {
"inputs": {
"wildcard": [
"52",
0
],
"Select to add LoRA": "Select the LoRA to add to the text",
"Select to add Wildcard": "Select the Wildcard to add to the text",
"basic_pipe": [
"35",
0
],
"bbox_detector": [
"24",
0
],
"sam_model_opt": [
"25",
0
],
"segm_detector_opt": [
"24",
1
]
},
"class_type": "BasicPipeToDetailerPipe",
"_meta": {
"title": "BasicPipe -> DetailerPipe"
}
},
"39": {
"inputs": {
"guide_size": 1024,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": 8,
"cfg": 3,
"sampler_name": "<%= it.sampler || 'dpmpp_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 0.45000000000000007,
"feather": 10,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"refiner_ratio": 0.2,
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"11",
0
],
"detailer_pipe": [
"55",
0
]
},
"class_type": "FaceDetailerPipe",
"_meta": {
"title": "FaceDetailer (pipe)"
}
},
"40": {
"inputs": {
"wildcard": [
"59",
0
],
"Select to add LoRA": "Select the LoRA to add to the text",
"Select to add Wildcard": "Select the Wildcard to add to the text",
"basic_pipe": [
"35",
0
],
"bbox_detector": [
"22",
0
],
"sam_model_opt": [
"21",
0
],
"segm_detector_opt": [
"20",
1
]
},
"class_type": "BasicPipeToDetailerPipe",
"_meta": {
"title": "BasicPipe -> DetailerPipe"
}
},
"42": {
"inputs": {
"guide_size": 1024,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": 8,
"cfg": 3,
"sampler_name": "<%= it.sampler || 'dpmpp_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 0.45000000000000007,
"feather": 10,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"refiner_ratio": 0.2,
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"39",
0
],
"detailer_pipe": [
"43",
0
]
},
"class_type": "FaceDetailerPipe",
"_meta": {
"title": "FaceDetailer (pipe)"
}
},
"43": {
"inputs": {
"wildcard": "",
"Select to add LoRA": "Select the LoRA to add to the text",
"Select to add Wildcard": "Select the Wildcard to add to the text",
"basic_pipe": [
"35",
0
],
"bbox_detector": [
"45",
0
],
"sam_model_opt": [
"25",
0
],
"segm_detector_opt": [
"45",
1
]
},
"class_type": "BasicPipeToDetailerPipe",
"_meta": {
"title": "BasicPipe -> DetailerPipe"
}
},
"44": {
"inputs": {
"images": [
"42",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"45": {
"inputs": {
"max_faces": 10,
"face": false,
"mouth": false,
"left_eyebrow": false,
"left_eye": true,
"left_pupil": false,
"right_eyebrow": false,
"right_eye": true,
"right_pupil": false
},
"class_type": "MediaPipeFaceMeshDetectorProvider //Inspire",
"_meta": {
"title": "MediaPipeFaceMesh Detector Provider"
}
},
"46": {
"inputs": {
"images": [
"42",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"47": {
"inputs": {
"images": [
"42",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"48": {
"inputs": {
"images": [
"42",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"49": {
"inputs": {
"string": "<%= it.prompt %>"
},
"class_type": "Simple String",
"_meta": {
"title": "Simple String"
}
},
"52": {
"inputs": {
"text1": "The face of",
"text2": [
"49",
0
],
"operation": "text1 + text2 to output1, text1 + text2 to output2",
"delimiter": " ",
"use_seed": "false",
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "TextCombinations",
"_meta": {
"title": "Text Combinations 2 (Mikey)"
}
},
"55": {
"inputs": {
"wildcard": "",
"Select to add LoRA": "Select the LoRA to add to the text",
"Select to add Wildcard": "Select the Wildcard to add to the text",
"detailer_pipe": [
"37",
0
],
"positive": [
"56",
0
]
},
"class_type": "EditDetailerPipe",
"_meta": {
"title": "Edit DetailerPipe"
}
},
"56": {
"inputs": {
"text": [
"52",
0
],
"clip": [
"17",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "Positive Prompt"
}
},
"58": {
"inputs": {
"wildcard": "",
"Select to add LoRA": "Select the LoRA to add to the text",
"Select to add Wildcard": "Select the Wildcard to add to the text",
"detailer_pipe": [
"40",
0
],
"positive": [
"60",
0
]
},
"class_type": "EditDetailerPipe",
"_meta": {
"title": "Edit DetailerPipe"
}
},
"59": {
"inputs": {
"text1": "The hand of",
"text2": [
"49",
0
],
"operation": "text1 + text2 to output1, text1 + text2 to output2",
"delimiter": " ",
"use_seed": "false",
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "TextCombinations",
"_meta": {
"title": "Text Combinations 2 (Mikey)"
}
},
"60": {
"inputs": {
"text": [
"59",
0
],
"clip": [
"17",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "Positive Prompt"
}
}
}

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{
"1": {
"inputs": {
"text": "<%= it.negativePrompt ||'bad ugly jpeg artifacts' %>",
"clip": [
"12",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "Negative Prompt"
}
},
"2": {
"inputs": {
"vae_name": "HiDream-ae.safetensors"
},
"class_type": "VAELoader",
"_meta": {
"title": "Load VAE"
}
},
"4": {
"inputs": {
"unet_name": "hidreamI1FP8Uncensored_fullV02AlphaNude.safetensors",
"weight_dtype": "default"
},
"class_type": "UNETLoader",
"_meta": {
"title": "Load Diffusion Model"
}
},
"5": {
"inputs": {
"shift": 3,
"model": [
"4",
0
]
},
"class_type": "ModelSamplingSD3",
"_meta": {
"title": "ModelSamplingSD3"
}
},
"6": {
"inputs": {
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 30 %>,
"cfg": <%= it.cfg || 5 %>,
"sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 1,
"model": [
"5",
0
],
"positive": [
"10",
0
],
"negative": [
"1",
0
],
"latent_image": [
"11",
0
]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"7": {
"inputs": {
"samples": [
"6",
0
],
"vae": [
"2",
0
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"8": {
"inputs": {
"images": [
"7",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"9": {
"inputs": {
"filename_prefix": "HiDream_uncen_",
"images": [
"7",
0
]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
},
"10": {
"inputs": {
"text": "<%= it.prompt %>",
"clip": [
"12",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "Positive Prompt"
}
},
"11": {
"inputs": {
"batch_size": <%= it.batchSize || 1 %>,
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "RandomEmptyLatentImageFromPresetsSDXL",
"_meta": {
"title": "Random Empty Latent Image From Presets (SDXL)"
}
},
"12": {
"inputs": {
"clip_name": "llama_3.1_8b_instruct_abli.safetensors",
"type": "hidream",
"device": "default"
},
"class_type": "CLIPLoader",
"_meta": {
"title": "Load CLIP"
}
},
"save_image_websocket_node": {
"inputs": {
"images": [
"7",
0
]
},
"class_type": "SaveImageWebsocket",
"_meta": {
"title": "SaveImageWebsocket"
}
}
}

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{
"1": {
"inputs": {
"text": "<%= it.negativePrompt ||'bad ugly jpeg artifacts' %>",
"clip": [
"12",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "Negative Prompt"
}
},
"2": {
"inputs": {
"vae_name": "HiDream-ae.safetensors"
},
"class_type": "VAELoader",
"_meta": {
"title": "Load VAE"
}
},
"4": {
"inputs": {
"unet_name": "hidreamI1FP8Uncensored_fullV02AlphaNude.safetensors",
"weight_dtype": "default"
},
"class_type": "UNETLoader",
"_meta": {
"title": "Load Diffusion Model"
}
},
"5": {
"inputs": {
"shift": 3,
"model": [
"4",
0
]
},
"class_type": "ModelSamplingSD3",
"_meta": {
"title": "ModelSamplingSD3"
}
},
"6": {
"inputs": {
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 30 %>,
"cfg": <%= it.cfg || 5 %>,
"sampler_name": "<%= it.sampler || "euler" %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 1,
"model": [
"5",
0
],
"positive": [
"10",
0
],
"negative": [
"1",
0
],
"latent_image": [
"11",
0
]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"7": {
"inputs": {
"samples": [
"6",
0
],
"vae": [
"2",
0
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"8": {
"inputs": {
"images": [
"7",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"9": {
"inputs": {
"filename_prefix": "HiDream_uncen_",
"images": [
"7",
0
]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
},
"10": {
"inputs": {
"text": "<%= it.prompt %>",
"clip": [
"12",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "Positive Prompt"
}
},
"11": {
"inputs": {
"batch_size": <%= it.batchSize || 1 %>,
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "RandomEmptyLatentImageFromPresetsSDXL",
"_meta": {
"title": "Random Empty Latent Image From Presets (SDXL)"
}
},
"12": {
"inputs": {
"clip_name": "llama_3.1_8b_instruct_fp8_scaled.safetensors",
"type": "hidream",
"device": "default"
},
"class_type": "CLIPLoader",
"_meta": {
"title": "Load CLIP"
}
},
"save_image_websocket_node": {
"inputs": {
"images": [
"7",
0
]
},
"class_type": "SaveImageWebsocket",
"_meta": {
"title": "SaveImageWebsocket"
}
}
}

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{
"1": {
"inputs": {
"samples": [
"27",
0
],
"vae": [
"31",
2
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"2": {
"inputs": {
"text_0": "<%= it.prompt %>",
"text": [
"30",
2
]
},
"class_type": "ShowText|pysssss",
"_meta": {
"title": "Show Text 🐍"
}
},
"3": {
"inputs": {
"images": [
"1",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"4": {
"inputs": {
"images": [
"25",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"5": {
"inputs": {
"images": [
"25",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"6": {
"inputs": {
"images": [
"26",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"7": {
"inputs": {
"images": [
"26",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"8": {
"inputs": {
"images": [
"26",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"9": {
"inputs": {
"images": [
"26",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"10": {
"inputs": {
"images": [
"25",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"11": {
"inputs": {
"images": [
"25",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"14": {
"inputs": {
"model_name": "bbox/hand_yolov8s.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"15": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "Prefer GPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"16": {
"inputs": {
"model_name": "segm/person_yolov8m-seg.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"17": {
"inputs": {
"max_faces": 10,
"face": true,
"mouth": false,
"left_eyebrow": false,
"left_eye": false,
"left_pupil": false,
"right_eyebrow": false,
"right_eye": false,
"right_pupil": false
},
"class_type": "MediaPipeFaceMeshDetectorProvider //Inspire",
"_meta": {
"title": "MediaPipeFaceMesh Detector Provider"
}
},
"18": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "Prefer GPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"19": {
"inputs": {
"batch_size": 1,
"seed": [
"22",
0
]
},
"class_type": "RandomEmptyLatentImageFromPresetsSDXL",
"_meta": {
"title": "Random Empty Latent Image From Presets (SDXL)"
}
},
"20": {
"inputs": {
"text": [
"30",
2
],
"clip": [
"30",
1
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"21": {
"inputs": {
"text": [
"29",
0
],
"clip": [
"30",
1
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"22": {
"inputs": {
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "Seed Everywhere",
"_meta": {
"title": "Seed Everywhere"
}
},
"23": {
"inputs": {
"prompt": "<%= it.prompt %>",
"seed": [
"22",
0
]
},
"class_type": "Wildcard Processor",
"_meta": {
"title": "wildcard processor(Pos prompt)"
}
},
"save_image_websocket_node": {
"inputs": {
"images": [
"26",
0
]
},
"class_type": "SaveImageWebsocket",
"_meta": {
"title": "SaveImageWebsocket"
}
},
"25": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps":<%= it.steps || 28 %>,
"cfg": <%= it.cfg || 5 %>,
"sampler_name": "<%= it.sampler || 'euler_ancestral' %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 0.0001,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"1",
0
],
"model": [
"30",
0
],
"clip": [
"30",
1
],
"vae": [
"31",
2
],
"positive": [
"20",
0
],
"negative": [
"21",
0
],
"bbox_detector": [
"17",
0
],
"sam_model_opt": [
"18",
0
],
"segm_detector_opt": [
"17",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"26": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps":<%= it.steps || 28 %>,
"cfg": <%= it.cfg || 5 %>,
"sampler_name": "<%= it.sampler || 'euler_ancestral' %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 1,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"43",
0
],
"model": [
"30",
0
],
"clip": [
"30",
1
],
"vae": [
"31",
2
],
"positive": [
"53",
0
],
"negative": [
"21",
0
],
"bbox_detector": [
"14",
0
],
"sam_model_opt": [
"15",
0
],
"segm_detector_opt": [
"16",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"27": {
"inputs": {
"seed": [
"22",
0
],
"steps":<%= it.steps || 28 %>,
"cfg": <%= it.cfg || 5 %>,
"sampler_name": "<%= it.sampler || 'euler_ancestral' %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 1,
"model": [
"30",
0
],
"positive": [
"20",
0
],
"negative": [
"21",
0
],
"latent_image": [
"19",
0
]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"28": {
"inputs": {
"filename_prefix": "plant_milk_",
"images": [
"26",
0
]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
},
"29": {
"inputs": {
"text": "<%= it.negativePrompt || 'embedding:lazyhand, embedding:lazyneg, bad quality, worst quality, lowres, jpeg artifacts, bad anatomy, bad hands, multiple views, signature, watermark, censored, ugly, messy' %>"
},
"class_type": "Text Multiline",
"_meta": {
"title": "Negative"
}
},
"30": {
"inputs": {
"text": [
"23",
0
],
"model": [
"31",
0
],
"clip": [
"31",
1
]
},
"class_type": "LoraTagLoader",
"_meta": {
"title": "Load LoRA Tag"
}
},
"31": {
"inputs": {
"ckpt_name": "plantMilkModelSuite_walnut.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"33": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps":<%= it.steps || 28 %>,
"cfg": <%= it.cfg || 5 %>,
"sampler_name": "<%= it.sampler || 'euler_ancestral' %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 0.35000000000000003,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"25",
0
],
"model": [
"30",
0
],
"clip": [
"30",
1
],
"vae": [
"31",
2
],
"positive": [
"20",
0
],
"negative": [
"21",
0
],
"bbox_detector": [
"34",
0
],
"sam_model_opt": [
"18",
0
],
"segm_detector_opt": [
"34",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"34": {
"inputs": {
"max_faces": 10,
"face": true,
"mouth": false,
"left_eyebrow": false,
"left_eye": true,
"left_pupil": false,
"right_eyebrow": false,
"right_eye": true,
"right_pupil": false
},
"class_type": "MediaPipeFaceMeshDetectorProvider //Inspire",
"_meta": {
"title": "MediaPipeFaceMesh Detector Provider"
}
},
"35": {
"inputs": {
"images": [
"33",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"36": {
"inputs": {
"images": [
"33",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"37": {
"inputs": {
"images": [
"33",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"38": {
"inputs": {
"images": [
"33",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"39": {
"inputs": {
"text": [
"40",
0
],
"clip": [
"30",
1
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"40": {
"inputs": {
"prompt": "(perfect hands)",
"seed": [
"22",
0
]
},
"class_type": "Wildcard Processor",
"_meta": {
"title": "wildcard processor(Pos prompt)"
}
},
"41": {
"inputs": {
"prompt": "face",
"seed": [
"22",
0
]
},
"class_type": "Wildcard Processor",
"_meta": {
"title": "wildcard processor(Pos prompt)"
}
},
"42": {
"inputs": {
"text": [
"41",
0
],
"clip": [
"30",
1
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"43": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps":<%= it.steps || 28 %>,
"cfg": <%= it.cfg || 5 %>,
"sampler_name": "<%= it.sampler || 'euler_ancestral' %>",
"scheduler": "<%= it.scheduler || 'beta' %>",
"denoise": 1,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"33",
0
],
"model": [
"30",
0
],
"clip": [
"30",
1
],
"vae": [
"31",
2
],
"positive": [
"51",
0
],
"negative": [
"21",
0
],
"bbox_detector": [
"44",
0
],
"sam_model_opt": [
"49",
0
],
"segm_detector_opt": [
"50",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"44": {
"inputs": {
"model_name": "bbox/face_yolov8m.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"45": {
"inputs": {
"images": [
"43",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"46": {
"inputs": {
"images": [
"43",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"47": {
"inputs": {
"images": [
"43",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"48": {
"inputs": {
"images": [
"43",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"49": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "Prefer GPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"50": {
"inputs": {
"model_name": "segm/person_yolov8m-seg.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"51": {
"inputs": {
"conditioning1": [
"42",
0
],
"conditioning2": [
"20",
0
]
},
"class_type": "ImpactCombineConditionings",
"_meta": {
"title": "Combine Conditionings"
}
},
"53": {
"inputs": {
"conditioning_1": [
"39",
0
],
"conditioning_2": [
"20",
0
]
},
"class_type": "ConditioningCombine",
"_meta": {
"title": "Conditioning (Combine)"
}
},
"54": {
"inputs": {
"text_0": "embedding:lazyhand, embedding:lazyneg, bad quality, worst quality, lowres, jpeg artifacts, bad anatomy, bad hands, multiple views, signature, watermark, censored, ugly, messy",
"text": [
"29",
0
]
},
"class_type": "ShowText|pysssss",
"_meta": {
"title": "Show Text 🐍"
}
}
}

533
templates/img-gen/pony-realism-detailed.eta Normal file
View File

@ -0,0 +1,533 @@
{
"6": {
"inputs": {
"ckpt_name": "ponyRealism_V23.safetensors"
},
"class_type": "CheckpointLoaderSimple",
"_meta": {
"title": "Load Checkpoint"
}
},
"7": {
"inputs": {
"text": "<%= it.negativePrompt || 'score_4_up, score_5_up, worst quality,bad quality,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,turnaround,2koma,4koma,cropped,amputee,text,bad foreshortening,what,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views, non detailed eyes' %>"
},
"class_type": "Text Multiline",
"_meta": {
"title": "Negative"
}
},
"8": {
"inputs": {
"prompt": "<%= it.prompt %>",
"seed": [
"9",
0
]
},
"class_type": "Wildcard Processor",
"_meta": {
"title": "wildcard processor(Pos prompt)"
}
},
"9": {
"inputs": {
"seed": <%= it.seed || it.randomSeed() %>
},
"class_type": "Seed Everywhere",
"_meta": {
"title": "Seed Everywhere"
}
},
"12": {
"inputs": {
"seed": [
"9",
0
],
"steps": <%= it.steps || 40 %>,
"cfg": <%= it.cfg || 6 %>,
"sampler_name": "<%= it.sampler || 'dpmpp_2m_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 1,
"model": [
"16",
0
],
"positive": [
"17",
0
],
"negative": [
"19",
0
],
"latent_image": [
"23",
0
]
},
"class_type": "KSampler",
"_meta": {
"title": "KSampler"
}
},
"13": {
"inputs": {
"samples": [
"12",
0
],
"vae": [
"6",
2
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"16": {
"inputs": {
"text": [
"8",
0
],
"model": [
"25",
0
],
"clip": [
"25",
1
]
},
"class_type": "LoraTagLoader",
"_meta": {
"title": "Load LoRA Tag"
}
},
"17": {
"inputs": {
"text": [
"16",
2
],
"clip": [
"18",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"18": {
"inputs": {
"stop_at_clip_layer": -2,
"clip": [
"16",
1
]
},
"class_type": "CLIPSetLastLayer",
"_meta": {
"title": "CLIP Set Last Layer"
}
},
"19": {
"inputs": {
"text": [
"7",
0
],
"clip": [
"18",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"21": {
"inputs": {
"images": [
"13",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"22": {
"inputs": {
"filename_prefix": "pony_realism",
"images": [
"33",
0
]
},
"class_type": "SaveImage",
"_meta": {
"title": "Save Image"
}
},
"23": {
"inputs": {
"batch_size": 1,
"seed": [
"9",
0
]
},
"class_type": "RandomEmptyLatentImageFromPresetsSDXL",
"_meta": {
"title": "Random Empty Latent Image From Presets (SDXL)"
}
},
"24": {
"inputs": {
"text": [
"8",
0
],
"text2": "<%= it.prompt %>"
},
"class_type": "ShowText|pysssss",
"_meta": {
"title": "Show Text 🐍"
}
},
"25": {
"inputs": {
"lora_name": "zy_Realism_Enhancer_v2.safetensors",
"strength_model": 0.9000000000000001,
"strength_clip": 0.9000000000000001,
"model": [
"6",
0
],
"clip": [
"6",
1
]
},
"class_type": "LoraLoader",
"_meta": {
"title": "Load LoRA"
}
},
"26": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "Prefer GPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"27": {
"inputs": {
"max_faces": 10,
"face": true,
"mouth": false,
"left_eyebrow": false,
"left_eye": false,
"left_pupil": false,
"right_eyebrow": false,
"right_eye": false,
"right_pupil": false
},
"class_type": "MediaPipeFaceMeshDetectorProvider //Inspire",
"_meta": {
"title": "MediaPipeFaceMesh Detector Provider"
}
},
"28": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 40 %>,
"cfg": <%= it.cfg || 6 %>,
"sampler_name": "<%= it.sampler || 'dpmpp_2m_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 0.35000000000000003,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"13",
0
],
"model": [
"16",
0
],
"clip": [
"18",
0
],
"vae": [
"6",
2
],
"positive": [
"17",
0
],
"negative": [
"19",
0
],
"bbox_detector": [
"27",
0
],
"sam_model_opt": [
"26",
0
],
"segm_detector_opt": [
"27",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"30": {
"inputs": {
"images": [
"28",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"31": {
"inputs": {
"images": [
"28",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"32": {
"inputs": {
"images": [
"28",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"33": {
"inputs": {
"guide_size": 512,
"guide_size_for": true,
"max_size": 1024,
"seed": <%= it.seed || it.randomSeed() %>,
"steps": <%= it.steps || 40 %>,
"cfg": <%= it.cfg || 6 %>,
"sampler_name": "<%= it.sampler || 'dpmpp_2m_sde_gpu' %>",
"scheduler": "<%= it.scheduler || 'karras' %>",
"denoise": 0.35000000000000003,
"feather": 5,
"noise_mask": true,
"force_inpaint": true,
"bbox_threshold": 0.5,
"bbox_dilation": 10,
"bbox_crop_factor": 3,
"sam_detection_hint": "center-1",
"sam_dilation": 0,
"sam_threshold": 0.93,
"sam_bbox_expansion": 0,
"sam_mask_hint_threshold": 0.7,
"sam_mask_hint_use_negative": "False",
"drop_size": 10,
"wildcard": "",
"cycle": 1,
"inpaint_model": false,
"noise_mask_feather": 20,
"tiled_encode": false,
"tiled_decode": false,
"image": [
"28",
0
],
"model": [
"16",
0
],
"clip": [
"18",
0
],
"vae": [
"6",
2
],
"positive": [
"17",
0
],
"negative": [
"19",
0
],
"bbox_detector": [
"39",
0
],
"sam_model_opt": [
"40",
0
],
"segm_detector_opt": [
"41",
1
]
},
"class_type": "FaceDetailer",
"_meta": {
"title": "FaceDetailer"
}
},
"34": {
"inputs": {
"images": [
"33",
5
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"35": {
"inputs": {
"images": [
"33",
2
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"36": {
"inputs": {
"images": [
"33",
1
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"37": {
"inputs": {
"images": [
"33",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"38": {
"inputs": {
"images": [
"28",
0
]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"39": {
"inputs": {
"model_name": "bbox/hand_yolov8s.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"40": {
"inputs": {
"model_name": "sam_vit_h_4b8939.pth",
"device_mode": "Prefer GPU"
},
"class_type": "SAMLoader",
"_meta": {
"title": "SAMLoader (Impact)"
}
},
"41": {
"inputs": {
"model_name": "segm/person_yolov8m-seg.pt"
},
"class_type": "UltralyticsDetectorProvider",
"_meta": {
"title": "UltralyticsDetectorProvider"
}
},
"save_image_websocket_node": {
"inputs": {
"images": [
"33",
0
]
},
"class_type": "SaveImageWebsocket",
"_meta": {
"title": "SaveImageWebsocket"
}
}
}