1951 lines
65 KiB
JavaScript
1951 lines
65 KiB
JavaScript
import {
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saveSettingsDebounced,
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systemUserName,
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hideSwipeButtons,
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showSwipeButtons,
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callPopup,
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getRequestHeaders,
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event_types,
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eventSource,
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generateQuietPrompt,
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this_chid,
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getCurrentChatId,
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animation_duration,
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appendMediaToMessage,
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} from "../../../script.js";
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import { getApiUrl, getContext, extension_settings, doExtrasFetch, modules, renderExtensionTemplate } from "../../extensions.js";
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import { selected_group } from "../../group-chats.js";
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import { stringFormat, initScrollHeight, resetScrollHeight, getCharaFilename, saveBase64AsFile } from "../../utils.js";
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import { getMessageTimeStamp, humanizedDateTime } from "../../RossAscends-mods.js";
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import { SECRET_KEYS, secret_state } from "../../secrets.js";
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import { getNovelUnlimitedImageGeneration, getNovelAnlas, loadNovelSubscriptionData } from "../../nai-settings.js";
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export { MODULE_NAME };
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// Wraps a string into monospace font-face span
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const m = x => `<span class="monospace">${x}</span>`;
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// Joins an array of strings with ' / '
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const j = a => a.join(' / ');
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// Wraps a string into paragraph block
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const p = a => `<p>${a}</p>`
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const MODULE_NAME = 'sd';
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const UPDATE_INTERVAL = 1000;
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const sources = {
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extras: 'extras',
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horde: 'horde',
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auto: 'auto',
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novel: 'novel',
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vlad: 'vlad',
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openai: 'openai',
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}
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const generationMode = {
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CHARACTER: 0,
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USER: 1,
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SCENARIO: 2,
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RAW_LAST: 3,
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NOW: 4,
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FACE: 5,
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FREE: 6,
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BACKGROUND: 7,
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}
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const modeLabels = {
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[generationMode.CHARACTER]: 'Character ("Yourself")',
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[generationMode.FACE]: 'Portrait ("Your Face")',
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[generationMode.USER]: 'User ("Me")',
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[generationMode.SCENARIO]: 'Scenario ("The Whole Story")',
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[generationMode.NOW]: 'Last Message',
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[generationMode.RAW_LAST]: 'Raw Last Message',
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[generationMode.BACKGROUND]: 'Background',
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}
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const triggerWords = {
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[generationMode.CHARACTER]: ['you'],
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[generationMode.USER]: ['me'],
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[generationMode.SCENARIO]: ['scene'],
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[generationMode.RAW_LAST]: ['raw_last'],
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[generationMode.NOW]: ['last'],
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[generationMode.FACE]: ['face'],
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[generationMode.BACKGROUND]: ['background'],
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}
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const messageTrigger = {
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activationRegex: /\b(send|mail|imagine|generate|make|create|draw|paint|render)\b.*\b(pic|picture|image|drawing|painting|photo|photograph)\b(?:\s+of)?(?:\s+(?:a|an|the|this|that|those)?)?(.+)/i,
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specialCases: {
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[generationMode.CHARACTER]: ['you', 'yourself'],
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[generationMode.USER]: ['me', 'myself'],
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[generationMode.SCENARIO]: ['story', 'scenario', 'whole story'],
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[generationMode.NOW]: ['last message'],
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[generationMode.FACE]: ['your face', 'your portrait', 'your selfie'],
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[generationMode.BACKGROUND]: ['background', 'scene background', 'scene', 'scenery', 'surroundings', 'environment'],
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},
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}
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const promptTemplates = {
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/*OLD: [generationMode.CHARACTER]: "Pause your roleplay and provide comma-delimited list of phrases and keywords which describe {{char}}'s physical appearance and clothing. Ignore {{char}}'s personality traits, and chat history when crafting this description. End your response once the comma-delimited list is complete. Do not roleplay when writing this description, and do not attempt to continue the story.", */
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[generationMode.CHARACTER]: "[In the next response I want you to provide only a detailed comma-delimited list of keywords and phrases which describe {{char}}. The list must include all of the following items in this order: name, species and race, gender, age, clothing, occupation, physical features and appearances. Do not include descriptions of non-visual qualities such as personality, movements, scents, mental traits, or anything which could not be seen in a still photograph. Do not write in full sentences. Prefix your description with the phrase 'full body portrait,']",
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//face-specific prompt
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[generationMode.FACE]: "[In the next response I want you to provide only a detailed comma-delimited list of keywords and phrases which describe {{char}}. The list must include all of the following items in this order: name, species and race, gender, age, facial features and expressions, occupation, hair and hair accessories (if any), what they are wearing on their upper body (if anything). Do not describe anything below their neck. Do not include descriptions of non-visual qualities such as personality, movements, scents, mental traits, or anything which could not be seen in a still photograph. Do not write in full sentences. Prefix your description with the phrase 'close up facial portrait,']",
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//prompt for only the last message
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[generationMode.USER]: "[Pause your roleplay and provide a detailed description of {{user}}'s physical appearance from the perspective of {{char}} in the form of a comma-delimited list of keywords and phrases. The list must include all of the following items in this order: name, species and race, gender, age, clothing, occupation, physical features and appearances. Do not include descriptions of non-visual qualities such as personality, movements, scents, mental traits, or anything which could not be seen in a still photograph. Do not write in full sentences. Prefix your description with the phrase 'full body portrait,'. Ignore the rest of the story when crafting this description. Do not roleplay as {{char}} when writing this description, and do not attempt to continue the story.]",
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[generationMode.SCENARIO]: "[Pause your roleplay and provide a detailed description for all of the following: a brief recap of recent events in the story, {{char}}'s appearance, and {{char}}'s surroundings. Do not roleplay while writing this description.]",
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[generationMode.NOW]: `[Pause your roleplay. Your next response must be formatted as a single comma-delimited list of concise keywords. The list will describe of the visual details included in the last chat message.
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Only mention characters by using pronouns ('he','his','she','her','it','its') or neutral nouns ('male', 'the man', 'female', 'the woman').
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Ignore non-visible things such as feelings, personality traits, thoughts, and spoken dialog.
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Add keywords in this precise order:
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a keyword to describe the location of the scene,
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a keyword to mention how many characters of each gender or type are present in the scene (minimum of two characters:
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{{user}} and {{char}}, example: '2 men ' or '1 man 1 woman ', '1 man 3 robots'),
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keywords to describe the relative physical positioning of the characters to each other (if a commonly known term for the positioning is known use it instead of describing the positioning in detail) + 'POV',
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a single keyword or phrase to describe the primary act taking place in the last chat message,
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keywords to describe {{char}}'s physical appearance and facial expression,
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keywords to describe {{char}}'s actions,
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keywords to describe {{user}}'s physical appearance and actions.
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If character actions involve direct physical interaction with another character, mention specifically which body parts interacting and how.
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A correctly formatted example response would be:
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'(location),(character list by gender),(primary action), (relative character position) POV, (character 1's description and actions), (character 2's description and actions)']`,
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[generationMode.RAW_LAST]: "[Pause your roleplay and provide ONLY the last chat message string back to me verbatim. Do not write anything after the string. Do not roleplay at all in your response. Do not continue the roleplay story.]",
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[generationMode.BACKGROUND]: "[Pause your roleplay and provide a detailed description of {{char}}'s surroundings in the form of a comma-delimited list of keywords and phrases. The list must include all of the following items in this order: location, time of day, weather, lighting, and any other relevant details. Do not include descriptions of characters and non-visual qualities such as names, personality, movements, scents, mental traits, or anything which could not be seen in a still photograph. Do not write in full sentences. Prefix your description with the phrase 'background,'. Ignore the rest of the story when crafting this description. Do not roleplay as {{user}} when writing this description, and do not attempt to continue the story.]",
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}
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const helpString = [
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`${m('(argument)')} – requests to generate an image. Supported arguments: ${m(j(Object.values(triggerWords).flat()))}.`,
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`Anything else would trigger a "free mode" to make generate whatever you prompted. Example: '/imagine apple tree' would generate a picture of an apple tree.`,
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].join(' ');
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const defaultPrefix = 'best quality, absurdres, aesthetic,';
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const defaultNegative = 'lowres, bad anatomy, bad hands, text, error, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry';
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const defaultStyles = [
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{
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name: 'Default',
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negative: defaultNegative,
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prefix: defaultPrefix,
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},
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];
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const defaultSettings = {
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source: sources.extras,
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// CFG Scale
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scale_min: 1,
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scale_max: 30,
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scale_step: 0.5,
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scale: 7,
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// Sampler steps
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steps_min: 1,
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steps_max: 150,
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steps_step: 1,
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steps: 20,
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// Image dimensions (Width & Height)
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dimension_min: 64,
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dimension_max: 2048,
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dimension_step: 64,
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width: 512,
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height: 512,
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prompt_prefix: defaultPrefix,
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negative_prompt: defaultNegative,
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sampler: 'DDIM',
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model: '',
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// Automatic1111/Horde exclusives
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restore_faces: false,
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enable_hr: false,
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// Horde settings
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horde: false,
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horde_nsfw: false,
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horde_karras: true,
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horde_sanitize: true,
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// Refine mode
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refine_mode: false,
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expand: false,
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interactive_mode: false,
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prompts: promptTemplates,
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// AUTOMATIC1111 settings
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auto_url: 'http://localhost:7860',
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auto_auth: '',
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vlad_url: 'http://localhost:7860',
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vlad_auth: '',
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hr_upscaler: 'Latent',
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hr_scale: 2.0,
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hr_scale_min: 1.0,
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hr_scale_max: 4.0,
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hr_scale_step: 0.1,
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denoising_strength: 0.7,
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denoising_strength_min: 0.0,
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denoising_strength_max: 1.0,
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denoising_strength_step: 0.01,
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hr_second_pass_steps: 0,
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hr_second_pass_steps_min: 0,
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hr_second_pass_steps_max: 150,
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hr_second_pass_steps_step: 1,
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// NovelAI settings
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novel_upscale_ratio_min: 1.0,
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novel_upscale_ratio_max: 4.0,
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novel_upscale_ratio_step: 0.1,
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novel_upscale_ratio: 1.0,
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novel_anlas_guard: false,
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// OpenAI settings
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openai_style: 'vivid',
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openai_quality: 'standard',
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style: 'Default',
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styles: defaultStyles,
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}
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function processTriggers(chat, _, abort) {
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if (!extension_settings.sd.interactive_mode) {
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return;
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}
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const lastMessage = chat[chat.length - 1];
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if (!lastMessage) {
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return;
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}
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const message = lastMessage.mes;
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const isUser = lastMessage.is_user;
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if (!message || !isUser) {
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return;
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}
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const messageLower = message.toLowerCase();
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try {
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const activationRegex = new RegExp(messageTrigger.activationRegex, 'i');
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const activationMatch = messageLower.match(activationRegex);
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if (!activationMatch) {
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return;
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}
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let subject = activationMatch[3].trim();
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if (!subject) {
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return;
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}
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console.log(`SD: Triggered by "${message}", detected subject: ${subject}"`);
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outer: for (const [specialMode, triggers] of Object.entries(messageTrigger.specialCases)) {
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for (const trigger of triggers) {
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if (subject === trigger) {
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subject = triggerWords[specialMode][0];
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console.log(`SD: Detected special case "${trigger}", switching to mode ${specialMode}`);
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break outer;
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}
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}
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}
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abort(true);
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setTimeout(() => generatePicture('sd', subject, message), 1);
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} catch {
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console.log('SD: Failed to process triggers.');
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return;
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}
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}
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window['SD_ProcessTriggers'] = processTriggers;
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function getSdRequestBody() {
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switch (extension_settings.sd.source) {
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case sources.vlad:
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return { url: extension_settings.sd.vlad_url, auth: extension_settings.sd.vlad_auth };
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case sources.auto:
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return { url: extension_settings.sd.auto_url, auth: extension_settings.sd.auto_auth };
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default:
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throw new Error('Invalid SD source.');
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}
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}
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function toggleSourceControls() {
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$('.sd_settings [data-sd-source]').each(function () {
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const source = $(this).data('sd-source').split(',');
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$(this).toggle(source.includes(extension_settings.sd.source));
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});
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}
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async function loadSettings() {
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// Initialize settings
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if (Object.keys(extension_settings.sd).length === 0) {
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Object.assign(extension_settings.sd, defaultSettings);
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}
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// Insert missing settings
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for (const [key, value] of Object.entries(defaultSettings)) {
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if (extension_settings.sd[key] === undefined) {
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extension_settings.sd[key] = value;
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}
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}
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if (extension_settings.sd.prompts === undefined) {
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extension_settings.sd.prompts = promptTemplates;
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}
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// Insert missing templates
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for (const [key, value] of Object.entries(promptTemplates)) {
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if (extension_settings.sd.prompts[key] === undefined) {
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extension_settings.sd.prompts[key] = value;
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}
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}
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if (extension_settings.sd.character_prompts === undefined) {
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extension_settings.sd.character_prompts = {};
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}
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if (!Array.isArray(extension_settings.sd.styles)) {
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extension_settings.sd.styles = defaultStyles;
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}
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$('#sd_source').val(extension_settings.sd.source);
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$('#sd_scale').val(extension_settings.sd.scale).trigger('input');
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$('#sd_steps').val(extension_settings.sd.steps).trigger('input');
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$('#sd_prompt_prefix').val(extension_settings.sd.prompt_prefix).trigger('input');
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$('#sd_negative_prompt').val(extension_settings.sd.negative_prompt).trigger('input');
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$('#sd_width').val(extension_settings.sd.width).trigger('input');
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$('#sd_height').val(extension_settings.sd.height).trigger('input');
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$('#sd_hr_scale').val(extension_settings.sd.hr_scale).trigger('input');
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$('#sd_denoising_strength').val(extension_settings.sd.denoising_strength).trigger('input');
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$('#sd_hr_second_pass_steps').val(extension_settings.sd.hr_second_pass_steps).trigger('input');
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$('#sd_novel_upscale_ratio').val(extension_settings.sd.novel_upscale_ratio).trigger('input');
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$('#sd_novel_anlas_guard').prop('checked', extension_settings.sd.novel_anlas_guard);
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$('#sd_horde').prop('checked', extension_settings.sd.horde);
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$('#sd_horde_nsfw').prop('checked', extension_settings.sd.horde_nsfw);
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$('#sd_horde_karras').prop('checked', extension_settings.sd.horde_karras);
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$('#sd_horde_sanitize').prop('checked', extension_settings.sd.horde_sanitize);
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$('#sd_restore_faces').prop('checked', extension_settings.sd.restore_faces);
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$('#sd_enable_hr').prop('checked', extension_settings.sd.enable_hr);
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$('#sd_refine_mode').prop('checked', extension_settings.sd.refine_mode);
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$('#sd_expand').prop('checked', extension_settings.sd.expand);
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$('#sd_auto_url').val(extension_settings.sd.auto_url);
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$('#sd_auto_auth').val(extension_settings.sd.auto_auth);
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$('#sd_vlad_url').val(extension_settings.sd.vlad_url);
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$('#sd_vlad_auth').val(extension_settings.sd.vlad_auth);
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$('#sd_interactive_mode').prop('checked', extension_settings.sd.interactive_mode);
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$('#sd_openai_style').val(extension_settings.sd.openai_style);
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$('#sd_openai_quality').val(extension_settings.sd.openai_quality);
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for (const style of extension_settings.sd.styles) {
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const option = document.createElement('option');
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option.value = style.name;
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option.text = style.name;
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option.selected = style.name === extension_settings.sd.style;
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$('#sd_style').append(option);
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}
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toggleSourceControls();
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addPromptTemplates();
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await Promise.all([loadSamplers(), loadModels()]);
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}
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function addPromptTemplates() {
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$('#sd_prompt_templates').empty();
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for (const [name, prompt] of Object.entries(extension_settings.sd.prompts)) {
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const label = $('<label></label>')
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.text(modeLabels[name])
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.attr('for', `sd_prompt_${name}`);
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const textarea = $('<textarea></textarea>')
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.addClass('textarea_compact text_pole')
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.attr('id', `sd_prompt_${name}`)
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.attr('rows', 3)
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.val(prompt).on('input', () => {
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extension_settings.sd.prompts[name] = textarea.val();
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saveSettingsDebounced();
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});
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const button = $('<button></button>')
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.addClass('menu_button fa-solid fa-undo')
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.attr('title', 'Restore default')
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.on('click', () => {
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textarea.val(promptTemplates[name]);
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extension_settings.sd.prompts[name] = promptTemplates[name];
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saveSettingsDebounced();
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});
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const container = $('<div></div>')
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.addClass('title_restorable')
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.append(label)
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.append(button)
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$('#sd_prompt_templates').append(container);
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$('#sd_prompt_templates').append(textarea);
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}
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}
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function onInteractiveModeInput() {
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extension_settings.sd.interactive_mode = !!$(this).prop('checked');
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saveSettingsDebounced();
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}
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function onStyleSelect() {
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const selectedStyle = String($('#sd_style').find(':selected').val());
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const styleObject = extension_settings.sd.styles.find(x => x.name === selectedStyle);
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if (!styleObject) {
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console.warn(`Could not find style object for ${selectedStyle}`);
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return;
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}
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$('#sd_prompt_prefix').val(styleObject.prefix).trigger('input');
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$('#sd_negative_prompt').val(styleObject.negative).trigger('input');
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extension_settings.sd.style = selectedStyle;
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saveSettingsDebounced();
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}
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async function onSaveStyleClick() {
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const userInput = await callPopup('Enter style name:', 'input', '', { okButton: 'Save' });
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if (!userInput) {
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return;
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}
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const name = String(userInput).trim();
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const prefix = String($('#sd_prompt_prefix').val());
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const negative = String($('#sd_negative_prompt').val());
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const existingStyle = extension_settings.sd.styles.find(x => x.name === name);
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if (existingStyle) {
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existingStyle.prefix = prefix;
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existingStyle.negative = negative;
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$('#sd_style').val(name);
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saveSettingsDebounced();
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return;
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}
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const styleObject = {
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name: name,
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prefix: prefix,
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negative: negative,
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};
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extension_settings.sd.styles.push(styleObject);
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const option = document.createElement('option');
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option.value = styleObject.name;
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option.text = styleObject.name;
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option.selected = true;
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$('#sd_style').append(option);
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$('#sd_style').val(styleObject.name);
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saveSettingsDebounced();
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}
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||
async function expandPrompt(prompt) {
|
||
try {
|
||
const response = await fetch('/api/sd/expand', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify({ prompt: prompt }),
|
||
});
|
||
|
||
if (!response.ok) {
|
||
throw new Error('API returned an error.');
|
||
}
|
||
|
||
const data = await response.json();
|
||
return data.prompt;
|
||
} catch {
|
||
return prompt;
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Modifies prompt based on auto-expansion and user inputs.
|
||
* @param {string} prompt Prompt to refine
|
||
* @param {boolean} allowExpand Whether to allow auto-expansion
|
||
* @returns {Promise<string>} Refined prompt
|
||
*/
|
||
async function refinePrompt(prompt, allowExpand) {
|
||
if (allowExpand && extension_settings.sd.expand) {
|
||
prompt = await expandPrompt(prompt);
|
||
}
|
||
|
||
if (extension_settings.sd.refine_mode) {
|
||
const refinedPrompt = await callPopup('<h3>Review and edit the prompt:</h3>Press "Cancel" to abort the image generation.', 'input', prompt.trim(), { rows: 5, okButton: 'Generate' });
|
||
|
||
if (refinedPrompt) {
|
||
return refinedPrompt;
|
||
} else {
|
||
throw new Error('Generation aborted by user.');
|
||
}
|
||
}
|
||
|
||
return prompt;
|
||
}
|
||
|
||
function onChatChanged() {
|
||
if (this_chid === undefined || selected_group) {
|
||
$('#sd_character_prompt_block').hide();
|
||
return;
|
||
}
|
||
|
||
$('#sd_character_prompt_block').show();
|
||
const key = getCharaFilename(this_chid);
|
||
$('#sd_character_prompt').val(key ? (extension_settings.sd.character_prompts[key] || '') : '');
|
||
}
|
||
|
||
function onCharacterPromptInput() {
|
||
const key = getCharaFilename(this_chid);
|
||
extension_settings.sd.character_prompts[key] = $('#sd_character_prompt').val();
|
||
resetScrollHeight($(this));
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function getCharacterPrefix() {
|
||
if (!this_chid || selected_group) {
|
||
return '';
|
||
}
|
||
|
||
const key = getCharaFilename(this_chid);
|
||
|
||
if (key) {
|
||
return extension_settings.sd.character_prompts[key] || '';
|
||
}
|
||
|
||
return '';
|
||
}
|
||
|
||
/**
|
||
* Combines two prompt prefixes into one.
|
||
* @param {string} str1 Base string
|
||
* @param {string} str2 Secondary string
|
||
* @param {string} macro Macro to replace with the secondary string
|
||
* @returns {string} Combined string with a comma between them
|
||
*/
|
||
function combinePrefixes(str1, str2, macro = '') {
|
||
if (!str2) {
|
||
return str1;
|
||
}
|
||
|
||
// Remove leading/trailing white spaces and commas from the strings
|
||
str1 = str1.trim().replace(/^,|,$/g, '');
|
||
str2 = str2.trim().replace(/^,|,$/g, '');
|
||
|
||
// Combine the strings with a comma between them)
|
||
const result = macro && str1.includes(macro) ? str1.replace(macro, str2) : `${str1}, ${str2},`;
|
||
return result;
|
||
}
|
||
|
||
function onExpandInput() {
|
||
extension_settings.sd.expand = !!$(this).prop('checked');
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onRefineModeInput() {
|
||
extension_settings.sd.refine_mode = !!$('#sd_refine_mode').prop('checked');
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onScaleInput() {
|
||
extension_settings.sd.scale = Number($('#sd_scale').val());
|
||
$('#sd_scale_value').text(extension_settings.sd.scale.toFixed(1));
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onStepsInput() {
|
||
extension_settings.sd.steps = Number($('#sd_steps').val());
|
||
$('#sd_steps_value').text(extension_settings.sd.steps);
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onPromptPrefixInput() {
|
||
extension_settings.sd.prompt_prefix = $('#sd_prompt_prefix').val();
|
||
resetScrollHeight($(this));
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onNegativePromptInput() {
|
||
extension_settings.sd.negative_prompt = $('#sd_negative_prompt').val();
|
||
resetScrollHeight($(this));
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onSamplerChange() {
|
||
extension_settings.sd.sampler = $('#sd_sampler').find(':selected').val();
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onWidthInput() {
|
||
extension_settings.sd.width = Number($('#sd_width').val());
|
||
$('#sd_width_value').text(extension_settings.sd.width);
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onHeightInput() {
|
||
extension_settings.sd.height = Number($('#sd_height').val());
|
||
$('#sd_height_value').text(extension_settings.sd.height);
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
async function onSourceChange() {
|
||
extension_settings.sd.source = $('#sd_source').find(':selected').val();
|
||
extension_settings.sd.model = null;
|
||
extension_settings.sd.sampler = null;
|
||
toggleSourceControls();
|
||
saveSettingsDebounced();
|
||
await Promise.all([loadModels(), loadSamplers()]);
|
||
}
|
||
|
||
async function onOpenAiStyleSelect() {
|
||
extension_settings.sd.openai_style = String($('#sd_openai_style').find(':selected').val());
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
async function onOpenAiQualitySelect() {
|
||
extension_settings.sd.openai_quality = String($('#sd_openai_quality').find(':selected').val());
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
async function onViewAnlasClick() {
|
||
const result = await loadNovelSubscriptionData();
|
||
|
||
if (!result) {
|
||
toastr.warning('Are you subscribed?', 'Could not load NovelAI subscription data');
|
||
return;
|
||
}
|
||
|
||
const anlas = getNovelAnlas();
|
||
const unlimitedGeneration = getNovelUnlimitedImageGeneration();
|
||
|
||
toastr.info(`Free image generation: ${unlimitedGeneration ? 'Yes' : 'No'}`, `Anlas: ${anlas}`);
|
||
}
|
||
|
||
function onNovelUpscaleRatioInput() {
|
||
extension_settings.sd.novel_upscale_ratio = Number($('#sd_novel_upscale_ratio').val());
|
||
$('#sd_novel_upscale_ratio_value').text(extension_settings.sd.novel_upscale_ratio.toFixed(1));
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onNovelAnlasGuardInput() {
|
||
extension_settings.sd.novel_anlas_guard = !!$('#sd_novel_anlas_guard').prop('checked');
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onHordeNsfwInput() {
|
||
extension_settings.sd.horde_nsfw = !!$(this).prop('checked');
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onHordeKarrasInput() {
|
||
extension_settings.sd.horde_karras = !!$(this).prop('checked');
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onHordeSanitizeInput() {
|
||
extension_settings.sd.horde_sanitize = !!$(this).prop('checked');
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onRestoreFacesInput() {
|
||
extension_settings.sd.restore_faces = !!$(this).prop('checked');
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onHighResFixInput() {
|
||
extension_settings.sd.enable_hr = !!$(this).prop('checked');
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onAutoUrlInput() {
|
||
extension_settings.sd.auto_url = $('#sd_auto_url').val();
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onAutoAuthInput() {
|
||
extension_settings.sd.auto_auth = $('#sd_auto_auth').val();
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onVladUrlInput() {
|
||
extension_settings.sd.vlad_url = $('#sd_vlad_url').val();
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onVladAuthInput() {
|
||
extension_settings.sd.vlad_auth = $('#sd_vlad_auth').val();
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onHrUpscalerChange() {
|
||
extension_settings.sd.hr_upscaler = $('#sd_hr_upscaler').find(':selected').val();
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onHrScaleInput() {
|
||
extension_settings.sd.hr_scale = Number($('#sd_hr_scale').val());
|
||
$('#sd_hr_scale_value').text(extension_settings.sd.hr_scale.toFixed(1));
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onDenoisingStrengthInput() {
|
||
extension_settings.sd.denoising_strength = Number($('#sd_denoising_strength').val());
|
||
$('#sd_denoising_strength_value').text(extension_settings.sd.denoising_strength.toFixed(2));
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
function onHrSecondPassStepsInput() {
|
||
extension_settings.sd.hr_second_pass_steps = Number($('#sd_hr_second_pass_steps').val());
|
||
$('#sd_hr_second_pass_steps_value').text(extension_settings.sd.hr_second_pass_steps);
|
||
saveSettingsDebounced();
|
||
}
|
||
|
||
async function validateAutoUrl() {
|
||
try {
|
||
if (!extension_settings.sd.auto_url) {
|
||
throw new Error('URL is not set.');
|
||
}
|
||
|
||
const result = await fetch('/api/sd/ping', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify(getSdRequestBody()),
|
||
});
|
||
|
||
if (!result.ok) {
|
||
throw new Error('SD WebUI returned an error.');
|
||
}
|
||
|
||
await loadSamplers();
|
||
await loadModels();
|
||
toastr.success('SD WebUI API connected.');
|
||
} catch (error) {
|
||
toastr.error(`Could not validate SD WebUI API: ${error.message}`);
|
||
}
|
||
}
|
||
|
||
async function validateVladUrl() {
|
||
try {
|
||
if (!extension_settings.sd.vlad_url) {
|
||
throw new Error('URL is not set.');
|
||
}
|
||
|
||
const result = await fetch('/api/sd/ping', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify(getSdRequestBody()),
|
||
});
|
||
|
||
if (!result.ok) {
|
||
throw new Error('SD.Next returned an error.');
|
||
}
|
||
|
||
await loadSamplers();
|
||
await loadModels();
|
||
toastr.success('SD.Next API connected.');
|
||
} catch (error) {
|
||
toastr.error(`Could not validate SD.Next API: ${error.message}`);
|
||
}
|
||
}
|
||
|
||
async function onModelChange() {
|
||
extension_settings.sd.model = $('#sd_model').find(':selected').val();
|
||
saveSettingsDebounced();
|
||
|
||
const cloudSources = [sources.horde, sources.novel, sources.openai];
|
||
|
||
if (cloudSources.includes(extension_settings.sd.source)) {
|
||
return;
|
||
}
|
||
|
||
toastr.info('Updating remote model...', 'Please wait');
|
||
if (extension_settings.sd.source === sources.extras) {
|
||
await updateExtrasRemoteModel();
|
||
}
|
||
if (extension_settings.sd.source === sources.auto || extension_settings.sd.source === sources.vlad) {
|
||
await updateAutoRemoteModel();
|
||
}
|
||
toastr.success('Model successfully loaded!', 'Image Generation');
|
||
}
|
||
|
||
async function getAutoRemoteModel() {
|
||
try {
|
||
const result = await fetch('/api/sd/get-model', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify(getSdRequestBody()),
|
||
});
|
||
|
||
if (!result.ok) {
|
||
throw new Error('SD WebUI returned an error.');
|
||
}
|
||
|
||
const data = await result.text();
|
||
return data;
|
||
} catch (error) {
|
||
console.error(error);
|
||
return null;
|
||
}
|
||
}
|
||
|
||
async function getAutoRemoteUpscalers() {
|
||
try {
|
||
const result = await fetch('/api/sd/upscalers', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify(getSdRequestBody()),
|
||
});
|
||
|
||
if (!result.ok) {
|
||
throw new Error('SD WebUI returned an error.');
|
||
}
|
||
|
||
const data = await result.json();
|
||
return data;
|
||
} catch (error) {
|
||
console.error(error);
|
||
return [extension_settings.sd.hr_upscaler];
|
||
}
|
||
}
|
||
|
||
async function getVladRemoteUpscalers() {
|
||
try {
|
||
const result = await fetch('/api/sd-next/upscalers', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify(getSdRequestBody()),
|
||
});
|
||
|
||
if (!result.ok) {
|
||
throw new Error('SD.Next returned an error.');
|
||
}
|
||
|
||
const data = await result.json();
|
||
return data;
|
||
} catch (error) {
|
||
console.error(error);
|
||
return [extension_settings.sd.hr_upscaler];
|
||
}
|
||
}
|
||
|
||
async function updateAutoRemoteModel() {
|
||
try {
|
||
const result = await fetch('/api/sd/set-model', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify({ ...getSdRequestBody(), model: extension_settings.sd.model }),
|
||
});
|
||
|
||
if (!result.ok) {
|
||
throw new Error('SD WebUI returned an error.');
|
||
}
|
||
|
||
console.log('Model successfully updated on SD WebUI remote.');
|
||
} catch (error) {
|
||
console.error(error);
|
||
toastr.error(`Could not update SD WebUI model: ${error.message}`);
|
||
}
|
||
}
|
||
|
||
async function updateExtrasRemoteModel() {
|
||
const url = new URL(getApiUrl());
|
||
url.pathname = '/api/image/model';
|
||
const getCurrentModelResult = await doExtrasFetch(url, {
|
||
method: 'POST',
|
||
body: JSON.stringify({ model: extension_settings.sd.model }),
|
||
});
|
||
|
||
if (getCurrentModelResult.ok) {
|
||
console.log('Model successfully updated on SD remote.');
|
||
}
|
||
}
|
||
|
||
async function loadSamplers() {
|
||
$('#sd_sampler').empty();
|
||
let samplers = [];
|
||
|
||
switch (extension_settings.sd.source) {
|
||
case sources.extras:
|
||
samplers = await loadExtrasSamplers();
|
||
break;
|
||
case sources.horde:
|
||
samplers = await loadHordeSamplers();
|
||
break;
|
||
case sources.auto:
|
||
samplers = await loadAutoSamplers();
|
||
break;
|
||
case sources.novel:
|
||
samplers = await loadNovelSamplers();
|
||
break;
|
||
case sources.vlad:
|
||
samplers = await loadVladSamplers();
|
||
break;
|
||
case sources.openai:
|
||
samplers = await loadOpenAiSamplers();
|
||
break;
|
||
}
|
||
|
||
for (const sampler of samplers) {
|
||
const option = document.createElement('option');
|
||
option.innerText = sampler;
|
||
option.value = sampler;
|
||
option.selected = sampler === extension_settings.sd.sampler;
|
||
$('#sd_sampler').append(option);
|
||
}
|
||
}
|
||
|
||
async function loadHordeSamplers() {
|
||
const result = await fetch('/api/horde/sd-samplers', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
});
|
||
|
||
if (result.ok) {
|
||
const data = await result.json();
|
||
return data;
|
||
}
|
||
|
||
return [];
|
||
}
|
||
|
||
async function loadExtrasSamplers() {
|
||
if (!modules.includes('sd')) {
|
||
return [];
|
||
}
|
||
|
||
const url = new URL(getApiUrl());
|
||
url.pathname = '/api/image/samplers';
|
||
const result = await doExtrasFetch(url);
|
||
|
||
if (result.ok) {
|
||
const data = await result.json();
|
||
return data.samplers;
|
||
}
|
||
|
||
return [];
|
||
}
|
||
|
||
async function loadAutoSamplers() {
|
||
if (!extension_settings.sd.auto_url) {
|
||
return [];
|
||
}
|
||
|
||
try {
|
||
const result = await fetch('/api/sd/samplers', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify(getSdRequestBody()),
|
||
});
|
||
|
||
if (!result.ok) {
|
||
throw new Error('SD WebUI returned an error.');
|
||
}
|
||
|
||
const data = await result.json();
|
||
return data;
|
||
} catch (error) {
|
||
return [];
|
||
}
|
||
}
|
||
|
||
async function loadOpenAiSamplers() {
|
||
return ['N/A'];
|
||
}
|
||
|
||
async function loadVladSamplers() {
|
||
if (!extension_settings.sd.vlad_url) {
|
||
return [];
|
||
}
|
||
|
||
try {
|
||
const result = await fetch('/api/sd/samplers', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify(getSdRequestBody()),
|
||
});
|
||
|
||
if (!result.ok) {
|
||
throw new Error('SD.Next returned an error.');
|
||
}
|
||
|
||
const data = await result.json();
|
||
return data;
|
||
} catch (error) {
|
||
return [];
|
||
}
|
||
}
|
||
|
||
async function loadNovelSamplers() {
|
||
if (!secret_state[SECRET_KEYS.NOVEL]) {
|
||
console.debug('NovelAI API key is not set.');
|
||
return [];
|
||
}
|
||
|
||
return [
|
||
'k_dpmpp_2m',
|
||
'k_dpmpp_sde',
|
||
'k_dpmpp_2s_ancestral',
|
||
'k_euler',
|
||
'k_euler_ancestral',
|
||
'k_dpm_fast',
|
||
'ddim',
|
||
];
|
||
}
|
||
|
||
async function loadModels() {
|
||
$('#sd_model').empty();
|
||
let models = [];
|
||
|
||
switch (extension_settings.sd.source) {
|
||
case sources.extras:
|
||
models = await loadExtrasModels();
|
||
break;
|
||
case sources.horde:
|
||
models = await loadHordeModels();
|
||
break;
|
||
case sources.auto:
|
||
models = await loadAutoModels();
|
||
break;
|
||
case sources.novel:
|
||
models = await loadNovelModels();
|
||
break;
|
||
case sources.vlad:
|
||
models = await loadVladModels();
|
||
break;
|
||
case sources.openai:
|
||
models = await loadOpenAiModels();
|
||
break;
|
||
}
|
||
|
||
for (const model of models) {
|
||
const option = document.createElement('option');
|
||
option.innerText = model.text;
|
||
option.value = model.value;
|
||
option.selected = model.value === extension_settings.sd.model;
|
||
$('#sd_model').append(option);
|
||
}
|
||
}
|
||
|
||
async function loadHordeModels() {
|
||
const result = await fetch('/api/horde/sd-models', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
});
|
||
|
||
|
||
if (result.ok) {
|
||
const data = await result.json();
|
||
data.sort((a, b) => b.count - a.count);
|
||
const models = data.map(x => ({ value: x.name, text: `${x.name} (ETA: ${x.eta}s, Queue: ${x.queued}, Workers: ${x.count})` }));
|
||
return models;
|
||
}
|
||
|
||
return [];
|
||
}
|
||
|
||
async function loadExtrasModels() {
|
||
if (!modules.includes('sd')) {
|
||
return [];
|
||
}
|
||
|
||
const url = new URL(getApiUrl());
|
||
url.pathname = '/api/image/model';
|
||
const getCurrentModelResult = await doExtrasFetch(url);
|
||
|
||
if (getCurrentModelResult.ok) {
|
||
const data = await getCurrentModelResult.json();
|
||
extension_settings.sd.model = data.model;
|
||
}
|
||
|
||
url.pathname = '/api/image/models';
|
||
const getModelsResult = await doExtrasFetch(url);
|
||
|
||
if (getModelsResult.ok) {
|
||
const data = await getModelsResult.json();
|
||
const view_models = data.models.map(x => ({ value: x, text: x }));
|
||
return view_models;
|
||
}
|
||
|
||
return [];
|
||
}
|
||
|
||
async function loadAutoModels() {
|
||
if (!extension_settings.sd.auto_url) {
|
||
return [];
|
||
}
|
||
|
||
try {
|
||
const currentModel = await getAutoRemoteModel();
|
||
|
||
if (currentModel) {
|
||
extension_settings.sd.model = currentModel;
|
||
}
|
||
|
||
const result = await fetch('/api/sd/models', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify(getSdRequestBody()),
|
||
});
|
||
|
||
if (!result.ok) {
|
||
throw new Error('SD WebUI returned an error.');
|
||
}
|
||
|
||
const upscalers = await getAutoRemoteUpscalers();
|
||
|
||
if (Array.isArray(upscalers) && upscalers.length > 0) {
|
||
$('#sd_hr_upscaler').empty();
|
||
|
||
for (const upscaler of upscalers) {
|
||
const option = document.createElement('option');
|
||
option.innerText = upscaler;
|
||
option.value = upscaler;
|
||
option.selected = upscaler === extension_settings.sd.hr_upscaler;
|
||
$('#sd_hr_upscaler').append(option);
|
||
}
|
||
}
|
||
|
||
const data = await result.json();
|
||
return data;
|
||
} catch (error) {
|
||
return [];
|
||
}
|
||
}
|
||
|
||
async function loadOpenAiModels() {
|
||
return [
|
||
{ value: 'dall-e-2', text: 'DALL-E 2' },
|
||
{ value: 'dall-e-3', text: 'DALL-E 3' },
|
||
];
|
||
}
|
||
|
||
async function loadVladModels() {
|
||
if (!extension_settings.sd.vlad_url) {
|
||
return [];
|
||
}
|
||
|
||
try {
|
||
const currentModel = await getAutoRemoteModel();
|
||
|
||
if (currentModel) {
|
||
extension_settings.sd.model = currentModel;
|
||
}
|
||
|
||
const result = await fetch('/api/sd/models', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify(getSdRequestBody()),
|
||
});
|
||
|
||
if (!result.ok) {
|
||
throw new Error('SD WebUI returned an error.');
|
||
}
|
||
|
||
const upscalers = await getVladRemoteUpscalers();
|
||
|
||
if (Array.isArray(upscalers) && upscalers.length > 0) {
|
||
$('#sd_hr_upscaler').empty();
|
||
|
||
for (const upscaler of upscalers) {
|
||
const option = document.createElement('option');
|
||
option.innerText = upscaler;
|
||
option.value = upscaler;
|
||
option.selected = upscaler === extension_settings.sd.hr_upscaler;
|
||
$('#sd_hr_upscaler').append(option);
|
||
}
|
||
}
|
||
|
||
const data = await result.json();
|
||
return data;
|
||
} catch (error) {
|
||
return [];
|
||
}
|
||
}
|
||
|
||
async function loadNovelModels() {
|
||
if (!secret_state[SECRET_KEYS.NOVEL]) {
|
||
console.debug('NovelAI API key is not set.');
|
||
return [];
|
||
}
|
||
|
||
return [
|
||
{
|
||
value: 'nai-diffusion-3',
|
||
text: 'NAI Diffusion Anime V3',
|
||
},
|
||
{
|
||
value: 'nai-diffusion-2',
|
||
text: 'NAI Diffusion Anime V2',
|
||
},
|
||
{
|
||
value: 'nai-diffusion',
|
||
text: 'NAI Diffusion Anime V1 (Full)',
|
||
},
|
||
{
|
||
value: 'safe-diffusion',
|
||
text: 'NAI Diffusion Anime V1 (Curated)',
|
||
},
|
||
{
|
||
value: 'nai-diffusion-furry',
|
||
text: 'NAI Diffusion Furry',
|
||
},
|
||
];
|
||
}
|
||
|
||
function getGenerationType(prompt) {
|
||
for (const [key, values] of Object.entries(triggerWords)) {
|
||
for (const value of values) {
|
||
if (value.toLowerCase() === prompt.toLowerCase().trim()) {
|
||
return Number(key);
|
||
}
|
||
}
|
||
}
|
||
|
||
return generationMode.FREE;
|
||
}
|
||
|
||
function getQuietPrompt(mode, trigger) {
|
||
if (mode === generationMode.FREE) {
|
||
return trigger;
|
||
}
|
||
|
||
return stringFormat(extension_settings.sd.prompts[mode], trigger);
|
||
}
|
||
|
||
function processReply(str) {
|
||
if (!str) {
|
||
return '';
|
||
}
|
||
|
||
str = str.replaceAll('"', '')
|
||
str = str.replaceAll('“', '')
|
||
str = str.replaceAll('.', ',')
|
||
str = str.replaceAll('\n', ', ')
|
||
str = str.replace(/[^a-zA-Z0-9,:()]+/g, ' ') // Replace everything except alphanumeric characters and commas with spaces
|
||
str = str.replace(/\s+/g, ' '); // Collapse multiple whitespaces into one
|
||
str = str.trim();
|
||
|
||
str = str
|
||
.split(',') // list split by commas
|
||
.map(x => x.trim()) // trim each entry
|
||
.filter(x => x) // remove empty entries
|
||
.join(', '); // join it back with proper spacing
|
||
|
||
return str;
|
||
}
|
||
|
||
function getRawLastMessage() {
|
||
const getLastUsableMessage = () => {
|
||
for (const message of context.chat.slice().reverse()) {
|
||
if (message.is_system) {
|
||
continue;
|
||
}
|
||
|
||
return message.mes;
|
||
}
|
||
|
||
toastr.warning('No usable messages found.', 'Image Generation');
|
||
throw new Error('No usable messages found.');
|
||
}
|
||
|
||
const context = getContext();
|
||
const lastMessage = getLastUsableMessage(),
|
||
characterDescription = context.characters[context.characterId].description,
|
||
situation = context.characters[context.characterId].scenario;
|
||
return `((${processReply(lastMessage)})), (${processReply(situation)}:0.7), (${processReply(characterDescription)}:0.5)`
|
||
}
|
||
|
||
async function generatePicture(_, trigger, message, callback) {
|
||
if (!trigger || trigger.trim().length === 0) {
|
||
console.log('Trigger word empty, aborting');
|
||
return;
|
||
}
|
||
|
||
if (!isValidState()) {
|
||
toastr.warning("Extensions API is not connected or doesn't provide SD module. Enable Stable Horde to generate images.");
|
||
return;
|
||
}
|
||
|
||
extension_settings.sd.sampler = $('#sd_sampler').find(':selected').val();
|
||
extension_settings.sd.model = $('#sd_model').find(':selected').val();
|
||
|
||
trigger = trigger.trim();
|
||
const generationType = getGenerationType(trigger);
|
||
console.log('Generation mode', generationType, 'triggered with', trigger);
|
||
const quiet_prompt = getQuietPrompt(generationType, trigger);
|
||
const context = getContext();
|
||
|
||
// if context.characterId is not null, then we get context.characters[context.characterId].avatar, else we get groupId and context.groups[groupId].id
|
||
// sadly, groups is not an array, but is a dict with keys being index numbers, so we have to filter it
|
||
const characterName = context.characterId ? context.characters[context.characterId].name : context.groups[Object.keys(context.groups).filter(x => context.groups[x].id === context.groupId)[0]]?.id?.toString();
|
||
|
||
if (generationType == generationMode.BACKGROUND) {
|
||
const callbackOriginal = callback;
|
||
callback = async function (prompt, imagePath, generationType) {
|
||
const imgUrl = `url("${encodeURI(imagePath)}")`;
|
||
eventSource.emit(event_types.FORCE_SET_BACKGROUND, { url: imgUrl, path: imagePath });
|
||
|
||
if (typeof callbackOriginal === 'function') {
|
||
callbackOriginal(prompt, imagePath, generationType);
|
||
} else {
|
||
sendMessage(prompt, imagePath, generationType);
|
||
}
|
||
}
|
||
}
|
||
|
||
const dimensions = setTypeSpecificDimensions(generationType);
|
||
|
||
try {
|
||
const prompt = await getPrompt(generationType, message, trigger, quiet_prompt);
|
||
console.log('Processed image prompt:', prompt);
|
||
|
||
context.deactivateSendButtons();
|
||
hideSwipeButtons();
|
||
|
||
await sendGenerationRequest(generationType, prompt, characterName, callback);
|
||
} catch (err) {
|
||
console.trace(err);
|
||
throw new Error('SD prompt text generation failed.')
|
||
}
|
||
finally {
|
||
restoreOriginalDimensions(dimensions);
|
||
context.activateSendButtons();
|
||
showSwipeButtons();
|
||
}
|
||
}
|
||
|
||
function setTypeSpecificDimensions(generationType) {
|
||
const prevSDHeight = extension_settings.sd.height;
|
||
const prevSDWidth = extension_settings.sd.width;
|
||
const aspectRatio = extension_settings.sd.width / extension_settings.sd.height;
|
||
|
||
// Face images are always portrait (pun intended)
|
||
if (generationType == generationMode.FACE && aspectRatio >= 1) {
|
||
// Round to nearest multiple of 64
|
||
extension_settings.sd.height = Math.round(extension_settings.sd.width * 1.5 / 64) * 64;
|
||
}
|
||
|
||
if (generationType == generationMode.BACKGROUND) {
|
||
// Background images are always landscape
|
||
if (aspectRatio <= 1) {
|
||
// Round to nearest multiple of 64
|
||
extension_settings.sd.width = Math.round(extension_settings.sd.height * 1.8 / 64) * 64;
|
||
}
|
||
}
|
||
|
||
return { height: prevSDHeight, width: prevSDWidth };
|
||
}
|
||
|
||
function restoreOriginalDimensions(savedParams) {
|
||
extension_settings.sd.height = savedParams.height;
|
||
extension_settings.sd.width = savedParams.width;
|
||
}
|
||
|
||
async function getPrompt(generationType, message, trigger, quiet_prompt) {
|
||
let prompt;
|
||
|
||
switch (generationType) {
|
||
case generationMode.RAW_LAST:
|
||
prompt = message || getRawLastMessage();
|
||
break;
|
||
case generationMode.FREE:
|
||
prompt = trigger.trim();
|
||
break;
|
||
default:
|
||
prompt = await generatePrompt(quiet_prompt);
|
||
break;
|
||
}
|
||
|
||
if (generationType !== generationMode.FREE) {
|
||
prompt = await refinePrompt(prompt, true);
|
||
}
|
||
|
||
return prompt;
|
||
}
|
||
|
||
async function generatePrompt(quiet_prompt) {
|
||
const reply = await generateQuietPrompt(quiet_prompt, false, false);
|
||
return processReply(reply);
|
||
}
|
||
|
||
async function sendGenerationRequest(generationType, prompt, characterName = null, callback) {
|
||
const prefix = (generationType !== generationMode.BACKGROUND && generationType !== generationMode.FREE)
|
||
? combinePrefixes(extension_settings.sd.prompt_prefix, getCharacterPrefix())
|
||
: extension_settings.sd.prompt_prefix;
|
||
|
||
const prefixedPrompt = combinePrefixes(prefix, prompt, '{prompt}');
|
||
|
||
let result = { format: '', data: '' };
|
||
const currentChatId = getCurrentChatId();
|
||
|
||
try {
|
||
switch (extension_settings.sd.source) {
|
||
case sources.extras:
|
||
result = await generateExtrasImage(prefixedPrompt);
|
||
break;
|
||
case sources.horde:
|
||
result = await generateHordeImage(prefixedPrompt);
|
||
break;
|
||
case sources.vlad:
|
||
result = await generateAutoImage(prefixedPrompt);
|
||
break;
|
||
case sources.auto:
|
||
result = await generateAutoImage(prefixedPrompt);
|
||
break;
|
||
case sources.novel:
|
||
result = await generateNovelImage(prefixedPrompt);
|
||
break;
|
||
case sources.openai:
|
||
result = await generateOpenAiImage(prefixedPrompt);
|
||
break;
|
||
}
|
||
|
||
if (!result.data) {
|
||
throw new Error('Endpoint did not return image data.');
|
||
}
|
||
} catch (err) {
|
||
console.error(err);
|
||
toastr.error('Image generation failed. Please try again.' + '\n\n' + String(err), 'Image Generation');
|
||
return;
|
||
}
|
||
|
||
if (currentChatId !== getCurrentChatId()) {
|
||
console.warn('Chat changed, aborting SD result saving');
|
||
toastr.warning('Chat changed, generated image discarded.', 'Image Generation');
|
||
return;
|
||
}
|
||
|
||
const filename = `${characterName}_${humanizedDateTime()}`;
|
||
const base64Image = await saveBase64AsFile(result.data, characterName, filename, result.format);
|
||
callback ? callback(prompt, base64Image, generationType) : sendMessage(prompt, base64Image, generationType);
|
||
}
|
||
|
||
/**
|
||
* Generates an "extras" image using a provided prompt and other settings.
|
||
*
|
||
* @param {string} prompt - The main instruction used to guide the image generation.
|
||
* @returns {Promise<{format: string, data: string}>} - A promise that resolves when the image generation and processing are complete.
|
||
*/
|
||
async function generateExtrasImage(prompt) {
|
||
const url = new URL(getApiUrl());
|
||
url.pathname = '/api/image';
|
||
const result = await doExtrasFetch(url, {
|
||
method: 'POST',
|
||
headers: {
|
||
'Content-Type': 'application/json',
|
||
},
|
||
body: JSON.stringify({
|
||
prompt: prompt,
|
||
sampler: extension_settings.sd.sampler,
|
||
steps: extension_settings.sd.steps,
|
||
scale: extension_settings.sd.scale,
|
||
width: extension_settings.sd.width,
|
||
height: extension_settings.sd.height,
|
||
negative_prompt: extension_settings.sd.negative_prompt,
|
||
restore_faces: !!extension_settings.sd.restore_faces,
|
||
enable_hr: !!extension_settings.sd.enable_hr,
|
||
karras: !!extension_settings.sd.horde_karras,
|
||
hr_upscaler: extension_settings.sd.hr_upscaler,
|
||
hr_scale: extension_settings.sd.hr_scale,
|
||
denoising_strength: extension_settings.sd.denoising_strength,
|
||
hr_second_pass_steps: extension_settings.sd.hr_second_pass_steps,
|
||
}),
|
||
});
|
||
|
||
if (result.ok) {
|
||
const data = await result.json();
|
||
return { format: 'jpg', data: data.image };
|
||
} else {
|
||
const text = await result.text();
|
||
throw new Error(text);
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Generates a "horde" image using the provided prompt and configuration settings.
|
||
*
|
||
* @param {string} prompt - The main instruction used to guide the image generation.
|
||
* @returns {Promise<{format: string, data: string}>} - A promise that resolves when the image generation and processing are complete.
|
||
*/
|
||
async function generateHordeImage(prompt) {
|
||
const result = await fetch('/api/horde/generate-image', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify({
|
||
prompt: prompt,
|
||
sampler: extension_settings.sd.sampler,
|
||
steps: extension_settings.sd.steps,
|
||
scale: extension_settings.sd.scale,
|
||
width: extension_settings.sd.width,
|
||
height: extension_settings.sd.height,
|
||
negative_prompt: extension_settings.sd.negative_prompt,
|
||
model: extension_settings.sd.model,
|
||
nsfw: extension_settings.sd.horde_nsfw,
|
||
restore_faces: !!extension_settings.sd.restore_faces,
|
||
enable_hr: !!extension_settings.sd.enable_hr,
|
||
sanitize: !!extension_settings.sd.horde_sanitize,
|
||
}),
|
||
});
|
||
|
||
if (result.ok) {
|
||
const data = await result.text();
|
||
return { format: 'webp', data: data };
|
||
} else {
|
||
const text = await result.text();
|
||
throw new Error(text);
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Generates an image in SD WebUI API using the provided prompt and configuration settings.
|
||
*
|
||
* @param {string} prompt - The main instruction used to guide the image generation.
|
||
* @returns {Promise<{format: string, data: string}>} - A promise that resolves when the image generation and processing are complete.
|
||
*/
|
||
async function generateAutoImage(prompt) {
|
||
const result = await fetch('/api/sd/generate', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify({
|
||
...getSdRequestBody(),
|
||
prompt: prompt,
|
||
negative_prompt: extension_settings.sd.negative_prompt,
|
||
sampler_name: extension_settings.sd.sampler,
|
||
steps: extension_settings.sd.steps,
|
||
cfg_scale: extension_settings.sd.scale,
|
||
width: extension_settings.sd.width,
|
||
height: extension_settings.sd.height,
|
||
restore_faces: !!extension_settings.sd.restore_faces,
|
||
enable_hr: !!extension_settings.sd.enable_hr,
|
||
hr_upscaler: extension_settings.sd.hr_upscaler,
|
||
hr_scale: extension_settings.sd.hr_scale,
|
||
denoising_strength: extension_settings.sd.denoising_strength,
|
||
hr_second_pass_steps: extension_settings.sd.hr_second_pass_steps,
|
||
// Ensure generated img is saved to disk
|
||
save_images: true,
|
||
send_images: true,
|
||
do_not_save_grid: false,
|
||
do_not_save_samples: false,
|
||
}),
|
||
});
|
||
|
||
if (result.ok) {
|
||
const data = await result.json();
|
||
return { format: 'png', data: data.images[0] };
|
||
} else {
|
||
const text = await result.text();
|
||
throw new Error(text);
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Generates an image in NovelAI API using the provided prompt and configuration settings.
|
||
*
|
||
* @param {string} prompt - The main instruction used to guide the image generation.
|
||
* @returns {Promise<{format: string, data: string}>} - A promise that resolves when the image generation and processing are complete.
|
||
*/
|
||
async function generateNovelImage(prompt) {
|
||
const { steps, width, height } = getNovelParams();
|
||
|
||
const result = await fetch('/api/novelai/generate-image', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify({
|
||
prompt: prompt,
|
||
model: extension_settings.sd.model,
|
||
sampler: extension_settings.sd.sampler,
|
||
steps: steps,
|
||
scale: extension_settings.sd.scale,
|
||
width: width,
|
||
height: height,
|
||
negative_prompt: extension_settings.sd.negative_prompt,
|
||
upscale_ratio: extension_settings.sd.novel_upscale_ratio,
|
||
}),
|
||
});
|
||
|
||
if (result.ok) {
|
||
const data = await result.text();
|
||
return { format: 'png', data: data };
|
||
} else {
|
||
const text = await result.text();
|
||
throw new Error(text);
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Adjusts extension parameters for NovelAI. Applies Anlas guard if needed.
|
||
* @returns {{steps: number, width: number, height: number}} - A tuple of parameters for NovelAI API.
|
||
*/
|
||
function getNovelParams() {
|
||
let steps = extension_settings.sd.steps;
|
||
let width = extension_settings.sd.width;
|
||
let height = extension_settings.sd.height;
|
||
|
||
// Don't apply Anlas guard if it's disabled.
|
||
if (!extension_settings.sd.novel_anlas_guard) {
|
||
return { steps, width, height };
|
||
}
|
||
|
||
const MAX_STEPS = 28;
|
||
const MAX_PIXELS = 1024 * 1024;
|
||
|
||
if (width * height > MAX_PIXELS) {
|
||
const ratio = Math.sqrt(MAX_PIXELS / (width * height));
|
||
|
||
// Calculate new width and height while maintaining aspect ratio.
|
||
var newWidth = Math.round(width * ratio);
|
||
var newHeight = Math.round(height * ratio);
|
||
|
||
// Ensure new dimensions are multiples of 64. If not, reduce accordingly.
|
||
if (newWidth % 64 !== 0) {
|
||
newWidth = newWidth - newWidth % 64;
|
||
}
|
||
|
||
if (newHeight % 64 !== 0) {
|
||
newHeight = newHeight - newHeight % 64;
|
||
}
|
||
|
||
// If total pixel count after rounding still exceeds MAX_PIXELS, decrease dimension size by 64 accordingly.
|
||
while (newWidth * newHeight > MAX_PIXELS) {
|
||
if (newWidth > newHeight) {
|
||
newWidth -= 64;
|
||
} else {
|
||
newHeight -= 64;
|
||
}
|
||
}
|
||
|
||
console.log(`Anlas Guard: Image size (${width}x${height}) > ${MAX_PIXELS}, reducing size to ${newWidth}x${newHeight}`);
|
||
width = newWidth;
|
||
height = newHeight;
|
||
}
|
||
|
||
if (steps > MAX_STEPS) {
|
||
console.log(`Anlas Guard: Steps (${steps}) > ${MAX_STEPS}, reducing steps to ${MAX_STEPS}`);
|
||
steps = MAX_STEPS;
|
||
}
|
||
|
||
return { steps, width, height };
|
||
}
|
||
|
||
async function generateOpenAiImage(prompt) {
|
||
const dalle2PromptLimit = 1000;
|
||
const dalle3PromptLimit = 4000;
|
||
|
||
const isDalle2 = extension_settings.sd.model === 'dall-e-2';
|
||
const isDalle3 = extension_settings.sd.model === 'dall-e-3';
|
||
|
||
if (isDalle2 && prompt.length > dalle2PromptLimit) {
|
||
prompt = prompt.substring(0, dalle2PromptLimit);
|
||
}
|
||
|
||
if (isDalle3 && prompt.length > dalle3PromptLimit) {
|
||
prompt = prompt.substring(0, dalle3PromptLimit);
|
||
}
|
||
|
||
let width = 1024;
|
||
let height = 1024;
|
||
let aspectRatio = extension_settings.sd.width / extension_settings.sd.height;
|
||
|
||
if (isDalle3 && aspectRatio < 1) {
|
||
height = 1792;
|
||
}
|
||
|
||
if (isDalle3 && aspectRatio > 1) {
|
||
width = 1792;
|
||
}
|
||
|
||
if (isDalle2 && (extension_settings.sd.width <= 512 && extension_settings.sd.height <= 512)) {
|
||
width = 512;
|
||
height = 512;
|
||
}
|
||
|
||
const result = await fetch('/api/openai/generate-image', {
|
||
method: 'POST',
|
||
headers: getRequestHeaders(),
|
||
body: JSON.stringify({
|
||
prompt: prompt,
|
||
model: extension_settings.sd.model,
|
||
size: `${width}x${height}`,
|
||
n: 1,
|
||
quality: isDalle3 ? extension_settings.sd.openai_quality : undefined,
|
||
style: isDalle3 ? extension_settings.sd.openai_style : undefined,
|
||
response_format: 'b64_json',
|
||
}),
|
||
});
|
||
|
||
if (result.ok) {
|
||
const data = await result.json();
|
||
return { format: 'png', data: data?.data[0]?.b64_json };
|
||
} else {
|
||
const text = await result.text();
|
||
throw new Error(text);
|
||
}
|
||
}
|
||
|
||
async function sendMessage(prompt, image, generationType) {
|
||
const context = getContext();
|
||
const messageText = `[${context.name2} sends a picture that contains: ${prompt}]`;
|
||
const message = {
|
||
name: context.groupId ? systemUserName : context.name2,
|
||
is_user: false,
|
||
is_system: true,
|
||
send_date: getMessageTimeStamp(),
|
||
mes: context.groupId ? p(messageText) : messageText,
|
||
extra: {
|
||
image: image,
|
||
title: prompt,
|
||
generationType: generationType,
|
||
},
|
||
};
|
||
context.chat.push(message);
|
||
context.addOneMessage(message);
|
||
context.saveChat();
|
||
}
|
||
|
||
function addSDGenButtons() {
|
||
|
||
const buttonHtml = `
|
||
<div id="sd_gen" class="list-group-item flex-container flexGap5">
|
||
<div class="fa-solid fa-paintbrush extensionsMenuExtensionButton" title="Trigger Stable Diffusion" /></div>
|
||
Generate Image
|
||
</div>
|
||
`;
|
||
|
||
const waitButtonHtml = `
|
||
<div id="sd_gen_wait" class="fa-solid fa-hourglass-half" /></div>
|
||
`
|
||
const dropdownHtml = `
|
||
<div id="sd_dropdown">
|
||
<ul class="list-group">
|
||
<span>Send me a picture of:</span>
|
||
<li class="list-group-item" id="sd_you" data-value="you">Yourself</li>
|
||
<li class="list-group-item" id="sd_face" data-value="face">Your Face</li>
|
||
<li class="list-group-item" id="sd_me" data-value="me">Me</li>
|
||
<li class="list-group-item" id="sd_world" data-value="world">The Whole Story</li>
|
||
<li class="list-group-item" id="sd_last" data-value="last">The Last Message</li>
|
||
<li class="list-group-item" id="sd_raw_last" data-value="raw_last">Raw Last Message</li>
|
||
<li class="list-group-item" id="sd_background" data-value="background">Background</li>
|
||
</ul>
|
||
</div>`;
|
||
|
||
$('#extensionsMenu').prepend(buttonHtml);
|
||
$('#extensionsMenu').prepend(waitButtonHtml);
|
||
$(document.body).append(dropdownHtml);
|
||
|
||
const messageButton = $('.sd_message_gen');
|
||
const button = $('#sd_gen');
|
||
const waitButton = $("#sd_gen_wait");
|
||
const dropdown = $('#sd_dropdown');
|
||
waitButton.hide();
|
||
dropdown.hide();
|
||
button.hide();
|
||
messageButton.hide();
|
||
|
||
let popper = Popper.createPopper(button.get(0), dropdown.get(0), {
|
||
placement: 'top',
|
||
});
|
||
|
||
$(document).on('click', '.sd_message_gen', sdMessageButton);
|
||
|
||
$(document).on('click touchend', function (e) {
|
||
const target = $(e.target);
|
||
if (target.is(dropdown)) return;
|
||
if (target.is(button) && !dropdown.is(":visible") && $("#send_but").is(":visible")) {
|
||
e.preventDefault();
|
||
|
||
dropdown.fadeIn(animation_duration);
|
||
popper.update();
|
||
} else {
|
||
dropdown.fadeOut(animation_duration);
|
||
}
|
||
});
|
||
}
|
||
|
||
function isValidState() {
|
||
switch (extension_settings.sd.source) {
|
||
case sources.extras:
|
||
return modules.includes('sd');
|
||
case sources.horde:
|
||
return true;
|
||
case sources.auto:
|
||
return !!extension_settings.sd.auto_url;
|
||
case sources.vlad:
|
||
return !!extension_settings.sd.vlad_url;
|
||
case sources.novel:
|
||
return secret_state[SECRET_KEYS.NOVEL];
|
||
case sources.openai:
|
||
return secret_state[SECRET_KEYS.OPENAI];
|
||
}
|
||
}
|
||
|
||
async function moduleWorker() {
|
||
if (isValidState()) {
|
||
$('#sd_gen').show();
|
||
$('.sd_message_gen').show();
|
||
}
|
||
else {
|
||
$('#sd_gen').hide();
|
||
$('.sd_message_gen').hide();
|
||
}
|
||
}
|
||
|
||
addSDGenButtons();
|
||
setInterval(moduleWorker, UPDATE_INTERVAL);
|
||
|
||
async function sdMessageButton(e) {
|
||
function setBusyIcon(isBusy) {
|
||
$icon.toggleClass('fa-paintbrush', !isBusy);
|
||
$icon.toggleClass(busyClass, isBusy);
|
||
}
|
||
|
||
const busyClass = 'fa-hourglass';
|
||
const context = getContext();
|
||
const $icon = $(e.currentTarget);
|
||
const $mes = $icon.closest('.mes');
|
||
const message_id = $mes.attr('mesid');
|
||
const message = context.chat[message_id];
|
||
const characterName = message?.name || context.name2;
|
||
const characterFileName = context.characterId ? context.characters[context.characterId].name : context.groups[Object.keys(context.groups).filter(x => context.groups[x].id === context.groupId)[0]]?.id?.toString();
|
||
const messageText = message?.mes;
|
||
const hasSavedImage = message?.extra?.image && message?.extra?.title;
|
||
|
||
if ($icon.hasClass(busyClass)) {
|
||
console.log('Previous image is still being generated...');
|
||
return;
|
||
}
|
||
|
||
let dimensions = null;
|
||
|
||
try {
|
||
setBusyIcon(true);
|
||
if (hasSavedImage) {
|
||
const prompt = await refinePrompt(message.extra.title, false);
|
||
message.extra.title = prompt;
|
||
|
||
const generationType = message?.extra?.generationType ?? generationMode.FREE;
|
||
console.log('Regenerating an image, using existing prompt:', prompt);
|
||
dimensions = setTypeSpecificDimensions(generationType);
|
||
await sendGenerationRequest(generationType, prompt, characterFileName, saveGeneratedImage);
|
||
}
|
||
else {
|
||
console.log("doing /sd raw last");
|
||
await generatePicture('sd', 'raw_last', `${characterName} said: ${messageText}`, saveGeneratedImage);
|
||
}
|
||
}
|
||
catch (error) {
|
||
console.error('Could not generate inline image: ', error);
|
||
}
|
||
finally {
|
||
setBusyIcon(false);
|
||
|
||
if (dimensions) {
|
||
restoreOriginalDimensions(dimensions);
|
||
}
|
||
}
|
||
|
||
function saveGeneratedImage(prompt, image, generationType) {
|
||
// Some message sources may not create the extra object
|
||
if (typeof message.extra !== 'object') {
|
||
message.extra = {};
|
||
}
|
||
|
||
// If already contains an image and it's not inline - leave it as is
|
||
message.extra.inline_image = message.extra.image && !message.extra.inline_image ? false : true;
|
||
message.extra.image = image;
|
||
message.extra.title = prompt;
|
||
message.extra.generationType = generationType;
|
||
appendMediaToMessage(message, $mes);
|
||
|
||
context.saveChat();
|
||
}
|
||
};
|
||
|
||
$("#sd_dropdown [id]").on("click", function () {
|
||
const id = $(this).attr("id");
|
||
const idParamMap = {
|
||
"sd_you": "you",
|
||
"sd_face": "face",
|
||
"sd_me": "me",
|
||
"sd_world": "scene",
|
||
"sd_last": "last",
|
||
"sd_raw_last": "raw_last",
|
||
"sd_background": "background"
|
||
};
|
||
|
||
const param = idParamMap[id];
|
||
|
||
if (param) {
|
||
console.log("doing /sd " + param)
|
||
generatePicture('sd', param);
|
||
}
|
||
});
|
||
|
||
jQuery(async () => {
|
||
getContext().registerSlashCommand('imagine', generatePicture, ['sd', 'img', 'image'], helpString, true, true);
|
||
|
||
$('#extensions_settings').append(renderExtensionTemplate('stable-diffusion', 'settings', defaultSettings));
|
||
$('#sd_source').on('change', onSourceChange);
|
||
$('#sd_scale').on('input', onScaleInput);
|
||
$('#sd_steps').on('input', onStepsInput);
|
||
$('#sd_model').on('change', onModelChange);
|
||
$('#sd_sampler').on('change', onSamplerChange);
|
||
$('#sd_prompt_prefix').on('input', onPromptPrefixInput);
|
||
$('#sd_negative_prompt').on('input', onNegativePromptInput);
|
||
$('#sd_width').on('input', onWidthInput);
|
||
$('#sd_height').on('input', onHeightInput);
|
||
$('#sd_horde_nsfw').on('input', onHordeNsfwInput);
|
||
$('#sd_horde_karras').on('input', onHordeKarrasInput);
|
||
$('#sd_horde_sanitize').on('input', onHordeSanitizeInput);
|
||
$('#sd_restore_faces').on('input', onRestoreFacesInput);
|
||
$('#sd_enable_hr').on('input', onHighResFixInput);
|
||
$('#sd_refine_mode').on('input', onRefineModeInput);
|
||
$('#sd_character_prompt').on('input', onCharacterPromptInput);
|
||
$('#sd_auto_validate').on('click', validateAutoUrl);
|
||
$('#sd_auto_url').on('input', onAutoUrlInput);
|
||
$('#sd_auto_auth').on('input', onAutoAuthInput);
|
||
$('#sd_vlad_validate').on('click', validateVladUrl);
|
||
$('#sd_vlad_url').on('input', onVladUrlInput);
|
||
$('#sd_vlad_auth').on('input', onVladAuthInput);
|
||
$('#sd_hr_upscaler').on('change', onHrUpscalerChange);
|
||
$('#sd_hr_scale').on('input', onHrScaleInput);
|
||
$('#sd_denoising_strength').on('input', onDenoisingStrengthInput);
|
||
$('#sd_hr_second_pass_steps').on('input', onHrSecondPassStepsInput);
|
||
$('#sd_novel_upscale_ratio').on('input', onNovelUpscaleRatioInput);
|
||
$('#sd_novel_anlas_guard').on('input', onNovelAnlasGuardInput);
|
||
$('#sd_novel_view_anlas').on('click', onViewAnlasClick);
|
||
$('#sd_expand').on('input', onExpandInput);
|
||
$('#sd_style').on('change', onStyleSelect);
|
||
$('#sd_save_style').on('click', onSaveStyleClick);
|
||
$('#sd_character_prompt_block').hide();
|
||
$('#sd_interactive_mode').on('input', onInteractiveModeInput);
|
||
$('#sd_openai_style').on('change', onOpenAiStyleSelect);
|
||
$('#sd_openai_quality').on('change', onOpenAiQualitySelect);
|
||
|
||
$('.sd_settings .inline-drawer-toggle').on('click', function () {
|
||
initScrollHeight($("#sd_prompt_prefix"));
|
||
initScrollHeight($("#sd_negative_prompt"));
|
||
initScrollHeight($("#sd_character_prompt"));
|
||
})
|
||
|
||
eventSource.on(event_types.EXTRAS_CONNECTED, async () => {
|
||
await Promise.all([loadSamplers(), loadModels()]);
|
||
});
|
||
|
||
eventSource.on(event_types.CHAT_CHANGED, onChatChanged);
|
||
|
||
await loadSettings();
|
||
$('body').addClass('sd');
|
||
});
|