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Support numeric values in inputs and enhance image generation configs

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Updated `SelectInput` and `OptionInput` to allow `value` as `string | number`. Extended image generation configurations with new features, including `cfg_rescale`, `noise_schedule`, and vibe data handling. Improved the setup for reference images and added support for mnemonist dependency in the package manager.
This commit is contained in:
YH_KIM
2025-05-03 16:38:04 +09:00
parent 21561fe5ff
commit 5b0ca460a5
7 changed files with 284 additions and 72 deletions
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78
src/ts/process/stableDiff.ts
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@@ -132,7 +132,7 @@ export async function generateAIImage(genPrompt:string, currentChar:character, n
"parameters": {
"params_version": 3,
"add_original_image": true,
"cfg_rescale": 0,
"cfg_rescale": db.NAIImgConfig.cfg_rescale,
"controlnet_strength": 1,
"dynamic_thresholding": false,
"n_samples": 1,
@@ -145,20 +145,22 @@ export async function generateAIImage(genPrompt:string, currentChar:character, n
"sm": false,
"sm_dyn": false,
"noise": db.NAIImgConfig.noise,
"noise_schedule": "native",
"noise_schedule": "karras",
"normalize_reference_strength_multiple":false,
"strength": db.NAIImgConfig.strength,
"ucPreset": 3,
"uncond_scale": 1,
"qualityToggle": false,
"lagacy_v3_extend": false,
"lagacy": false,
"reference_information_extracted": db.NAIImgConfig.InfoExtracted,
"reference_strength": db.NAIImgConfig.RefStrength,
"legacy_v3_extend": false,
"legacy": false,
// "reference_information_extracted": db.NAIImgConfig.InfoExtracted,
// Only set reference_strength if we're not using reference_strength_multiple
"reference_strength": db.NAIImgConfig.reference_strength_multiple !== undefined ? undefined : db.NAIImgConfig.RefStrength,
//add v4
"autoSmea": db.NAIImgConfig.autoSmea,
use_coords: db.NAIImgConfig.use_coords,
legacy_uc: db.NAIImgConfig.legacy_uc,
v4_prompt:{
"use_coords": db.NAIImgConfig.use_coords,
"legacy_uc": db.NAIImgConfig.legacy_uc,
"v4_prompt":{
caption:{
base_caption:genPrompt,
char_captions: []
@@ -172,7 +174,9 @@ export async function generateAIImage(genPrompt:string, currentChar:character, n
char_captions: []
},
legacy_uc: db.NAIImgConfig.v4_negative_prompt.legacy_uc,
}
},
"reference_image_multiple" : [],
"reference_strength_multiple" : [],
}
},
headers:{
@@ -181,13 +185,51 @@ export async function generateAIImage(genPrompt:string, currentChar:character, n
rawResponse: true
}
// Add vibe reference_image_multiple if exists
if(db.NAIImgConfig.vibe_data) {
const vibeData = db.NAIImgConfig.vibe_data;
// Determine which model to use based on vibe_model_selection or fallback to current model
const modelKey = db.NAIImgConfig.vibe_model_selection ||
(db.NAIImgModel.includes('nai-diffusion-4-full') ? 'v4full' :
db.NAIImgModel.includes('nai-diffusion-4-curated') ? 'v4curated' : null);
if(modelKey && vibeData.encodings && vibeData.encodings[modelKey]) {
// Initialize arrays if they don't exist
if(!commonReq.body.parameters.reference_image_multiple) {
commonReq.body.parameters.reference_image_multiple = [];
}
if(!commonReq.body.parameters.reference_strength_multiple) {
commonReq.body.parameters.reference_strength_multiple = [];
}
// Use selected encoding or first available
let encodingKey = db.NAIImgConfig.vibe_model_selection ?
Object.keys(vibeData.encodings[modelKey]).find(key =>
vibeData.encodings[modelKey][key].params.information_extracted ===
(db.NAIImgConfig.InfoExtracted || 1)) :
Object.keys(vibeData.encodings[modelKey])[0];
if(encodingKey) {
const encoding = vibeData.encodings[modelKey][encodingKey].encoding;
// Add encoding to the array
commonReq.body.parameters.reference_image_multiple.push(encoding);
// Add reference_strength_multiple if it exists
const strength = db.NAIImgConfig.reference_strength_multiple &&
db.NAIImgConfig.reference_strength_multiple.length > 0 ?
db.NAIImgConfig.reference_strength_multiple[0] : 0.5;
commonReq.body.parameters.reference_strength_multiple.push(strength);
}
}
}
if(db.NAII2I){
let seed = Math.floor(Math.random() * 10000000000)
let base64img = ''
if(db.NAIImgConfig.image === ''){
const charimg = currentChar.image;
const img = await readImage(charimg)
base64img = Buffer.from(img).toString('base64');
} else{
@@ -201,7 +243,7 @@ export async function generateAIImage(genPrompt:string, currentChar:character, n
refimgbase64 = Buffer.from(await readImage(db.NAIImgConfig.refimage)).toString('base64');
}
}
reqlist = commonReq;
reqlist.body.action = "img2img";
reqlist.body.parameters.image = base64img;
@@ -211,6 +253,8 @@ export async function generateAIImage(genPrompt:string, currentChar:character, n
if(refimgbase64 !== undefined){
reqlist.body.parameters.reference_image = refimgbase64
}
console.log({img2img:reqlist});
}else{
@@ -219,7 +263,7 @@ export async function generateAIImage(genPrompt:string, currentChar:character, n
let base64img = ''
if(db.NAIImgConfig.image === ''){
const charimg = currentChar.image;
const img = await readImage(charimg)
base64img = Buffer.from(img).toString('base64');
} else{
@@ -228,10 +272,12 @@ export async function generateAIImage(genPrompt:string, currentChar:character, n
reqlist = commonReq;
reqlist.body.action = 'generate';
reqlist.body.parameters.reference_image = base64img;
console.log({generate:reqlist});
} else {
reqlist = commonReq;
reqlist.body.action = 'generate';
console.log({nothing:reqlist});
}
}
@@ -407,7 +453,7 @@ export async function generateAIImage(genPrompt:string, currentChar:character, n
if(inputKeys[j] === 'seed' && typeof input === 'number'){
input = Math.floor(Math.random() * 1000000000)
}
node.inputs[inputKeys[j]] = input
}
}
@@ -495,7 +541,7 @@ export async function generateAIImage(genPrompt:string, currentChar:character, n
CharEmotion.set(charemotions)
}
return returnSdData
}
if(db.sdProvider === 'fal'){
const model = db.falModel