TowstyandCursor
bfe94e4bb1
It is the same LoRA card as the rest of the chain; the toggle only adds or removes that card so it no longer comes back after you turn it off. Co-authored-by: Cursor <cursoragent@cursor.com>
275 lines
11 KiB
TypeScript
275 lines
11 KiB
TypeScript
import {
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filterLoraStackForImageEngine,
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loraIdentityKey,
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makeLoraStackItem,
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normalizeLoraStack,
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type LoraStackItem
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} from '~/utils/loras'
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export const IMAGE_V2_MODES = ['edit', 'compose', 'refine', 'generate'] as const
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export const IMAGE_V2_TASKS = ['scene', 'identity', 'outfit', 'face_lock', 'refine', 't2i'] as const
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export const IMAGE_V2_ENGINES = ['flux', 'krea'] as const
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export type ImageV2Mode = (typeof IMAGE_V2_MODES)[number]
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export type ImageV2Task = (typeof IMAGE_V2_TASKS)[number]
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export type ImageV2Engine = (typeof IMAGE_V2_ENGINES)[number]
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export const IMAGE_V2_STEPS_DEFAULT = 24
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export const IMAGE_V2_CFG_DEFAULT = 4
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export const IMAGE_V2_TURBO_STEPS = 8
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export const IMAGE_V2_TURBO_CFG = 1
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export const IMAGE_V2_SNOFS_MODEL = 0.65
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export const IMAGE_V2_SNOFS_CLIP = 0.35
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export const IMAGE_V2_CONSISTENCY_MODEL = 0.7
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export const IMAGE_V2_CONSISTENCY_CLIP = 0.7
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export const IMAGE_V2_STRENGTH_MIN = 0
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export const IMAGE_V2_STRENGTH_MAX = 2
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export const IMAGE_V2_STRENGTH_STEP = 0.05
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export const IMAGE_V2_SNOFS_LORA = 'xaigen-klein_snofs_v1_4.safetensors'
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export const IMAGE_V2_CONSISTENCY_LORA = 'Flux2-Klein-9B-consistency-V2.safetensors'
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export const IMAGE_V2_DENOISE_DEFAULT = 0.35
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export const IMAGE_V2_DENOISE_MIN = 0.15
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export const IMAGE_V2_DENOISE_MAX = 0.75
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export const IMAGE_V2_DENOISE_STEP = 0.01
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export const IMAGE_V2_REFINE_FACE = {
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strength: 0.28,
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snofsModel: 0.55,
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snofsClip: 0.25,
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consistencyModel: 0.75,
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consistencyClip: 0.8
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}
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export const IMAGE_V2_REFINE_HAND = {
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strength: 0.4,
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snofsModel: 0.65,
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snofsClip: 0.3,
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consistencyModel: 0.7,
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consistencyClip: 0.7
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}
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export const IMAGE_V2_REFINE_HEAVY = { strength: 0.55 }
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export const IMAGE_V2_REFINE_FACE_PROMPT = 'same face as the canvas, same glasses, same cheeks and jaw. Change only the face in the masked area.'
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export const IMAGE_V2_SIZE_SIDES = [768, 1024, 1280] as const
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export const IMAGE_V2_GENERATE_WIDTH = 1024
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export const IMAGE_V2_GENERATE_HEIGHT = 1024
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export const IMAGE_V2_GENERATE_ASPECTS = {
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'1:1': [1024, 1024],
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'3:4': [768, 1024],
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'4:3': [1024, 768],
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'16:9': [1280, 768],
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'9:16': [768, 1280]
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} as const
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export type ImageV2GenerateAspect = keyof typeof IMAGE_V2_GENERATE_ASPECTS
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export const IMAGE_V2_GENERATE_SFW = { snofsModel: 0, snofsClip: 0 }
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export const IMAGE_V2_GENERATE_SNOFS = { snofsModel: 0.65, snofsClip: 0.35 }
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export const IMAGE_V2_KREA_STEPS = 8
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export const IMAGE_V2_KREA_CFG = 1
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export const IMAGE_V2_KREA_EDIT_DENOISE = 0.75
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export const IMAGE_V2_KREA_COMPOSE_DENOISE = 0.7
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export const IMAGE_V2_KREA_CLIP = 'qwen3vl_4b_fp8_scaled.safetensors'
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export const IMAGE_V2_KREA_CLIP_TYPE = 'krea2'
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export const IMAGE_V2_KREA_VAE = 'qwen_image_vae.safetensors'
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export const IMAGE_V2_KREA_UNET_CANDIDATES = [
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'krea2_turbo_mxfp8.safetensors',
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'krea2_turbo_nvfp4.safetensors',
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'krea2_turbo_fp8_scaled.safetensors'
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] as const
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export const IMAGE_V2_KREA_CONCEPT_LORA = 'xaigen-snofs_krea_v1_3D.safetensors'
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export const IMAGE_V2_ROLE_HEADERS: Record<Exclude<ImageV2Task, 'scene' | 'refine' | 't2i'>, string> = {
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outfit: 'Person, face, body, pose, and background from image 1. Clothing only from image 2. Fit the outfit from image 2 to the body in image 1. Do not copy image 2’s face, body shape, or pose.',
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face_lock: 'Body, pose, and scene from image 1. Exact face from image 2.',
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identity: 'Same person as image 1. Use image 2 only to reinforce the face. Follow the user’s pose/scene prompt.'
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}
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export function parseImageV2Mode(raw: unknown): ImageV2Mode | null {
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const value = String(raw || '').trim().toLowerCase()
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return IMAGE_V2_MODES.includes(value as ImageV2Mode) ? value as ImageV2Mode : null
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}
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export function parseImageV2Task(raw: unknown, fallback: ImageV2Task = 'scene'): ImageV2Task {
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const value = String(raw || '').trim().toLowerCase()
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return IMAGE_V2_TASKS.includes(value as ImageV2Task) ? value as ImageV2Task : fallback
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}
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export function parseImageV2Engine(raw: unknown, fallback: ImageV2Engine = 'flux'): ImageV2Engine {
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const value = String(raw || '').trim().toLowerCase()
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return IMAGE_V2_ENGINES.includes(value as ImageV2Engine) ? value as ImageV2Engine : fallback
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}
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export function imageV2WorkflowFile(mode: ImageV2Mode, engine: ImageV2Engine = 'flux') {
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if (engine === 'krea') {
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if (mode === 'generate') return 'krea_v2_generate.json'
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if (mode === 'refine') return 'krea_v2_refine.json'
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if (mode === 'compose') return 'krea_v2_compose.json'
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return 'krea_v2_edit.json'
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}
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if (mode === 'generate') return 'klein_v2_generate.json'
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if (mode === 'refine') return 'klein_v2_refine.json'
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if (mode === 'compose') return 'klein_v2_compose.json'
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return 'klein_v2_edit.json'
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}
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export function clampImageV2Strength(raw: unknown, fallback: number) {
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const value = Number(raw)
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if (!Number.isFinite(value)) return fallback
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const snapped = Math.round(value / IMAGE_V2_STRENGTH_STEP) * IMAGE_V2_STRENGTH_STEP
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return Math.min(IMAGE_V2_STRENGTH_MAX, Math.max(IMAGE_V2_STRENGTH_MIN, Math.round(snapped * 100) / 100))
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}
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export function clampImageV2Denoise(raw: unknown, fallback = IMAGE_V2_DENOISE_DEFAULT) {
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const value = Number(raw)
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if (!Number.isFinite(value)) return fallback
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const snapped = Math.round(value / IMAGE_V2_DENOISE_STEP) * IMAGE_V2_DENOISE_STEP
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return Math.min(IMAGE_V2_DENOISE_MAX, Math.max(IMAGE_V2_DENOISE_MIN, Math.round(snapped * 100) / 100))
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}
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export function snapImageV2Side(raw: unknown, fallback = IMAGE_V2_GENERATE_WIDTH) {
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const value = Number(raw)
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if (!Number.isFinite(value)) return fallback
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return IMAGE_V2_SIZE_SIDES.reduce((best, side) => (
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Math.abs(side - value) < Math.abs(best - value) ? side : best
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), IMAGE_V2_SIZE_SIDES[0])
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}
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export function parseImageV2Aspect(raw: unknown): ImageV2GenerateAspect | null {
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const value = String(raw || '').trim()
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return value in IMAGE_V2_GENERATE_ASPECTS ? value as ImageV2GenerateAspect : null
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}
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export function clampImageV2Size(width: unknown, height: unknown, aspect?: unknown) {
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const preset = parseImageV2Aspect(aspect)
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if (preset) {
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const [w, h] = IMAGE_V2_GENERATE_ASPECTS[preset]
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return { width: w, height: h, aspect: preset }
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}
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return {
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width: snapImageV2Side(width, IMAGE_V2_GENERATE_WIDTH),
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height: snapImageV2Side(height, IMAGE_V2_GENERATE_HEIGHT),
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aspect: null as ImageV2GenerateAspect | null
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}
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}
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export function composeImageV2Prompt(mode: ImageV2Mode, task: ImageV2Task, prompt: string) {
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const body = String(prompt || '').trim()
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if (mode === 'generate' || mode === 'refine' || mode !== 'compose' || task === 'scene' || task === 't2i') return body
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const header = IMAGE_V2_ROLE_HEADERS[task as Exclude<ImageV2Task, 'scene' | 'refine' | 't2i'>]
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return header ? `${header}\n\n${body}` : body
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}
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export type ImageV2PresetSettings = {
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mode?: ImageV2Mode
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task?: ImageV2Task
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engine?: ImageV2Engine
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negative?: string
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snofsModel?: number
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snofsClip?: number
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consistencyModel?: number
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consistencyClip?: number
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steps?: number
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cfg?: number
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megapixels?: number
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turbo?: boolean
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strength?: number
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width?: number
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height?: number
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}
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export function imageV2ConceptLoraName(engine: ImageV2Engine, kreaConcept?: string) {
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if (engine === 'krea') return String(kreaConcept || IMAGE_V2_KREA_CONCEPT_LORA || '').trim()
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return IMAGE_V2_SNOFS_LORA
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}
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export function isImageV2ConceptLora(name: string, engine?: ImageV2Engine) {
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const id = loraIdentityKey(name)
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const flux = id === loraIdentityKey(IMAGE_V2_SNOFS_LORA) || /klein_snofs/i.test(id)
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const krea = id === loraIdentityKey(IMAGE_V2_KREA_CONCEPT_LORA) || /snofs_krea/i.test(id)
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if (engine === 'krea') return krea
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if (engine === 'flux') return flux
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return flux || krea
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}
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export function isImageV2ConsistencyLora(name: string) {
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const id = loraIdentityKey(name)
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return id === loraIdentityKey(IMAGE_V2_CONSISTENCY_LORA) || /flux2-klein-9b-consistency/i.test(id)
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}
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export function upsertImageV2Lora(stack: unknown, name: string, model: number, clip: number): LoraStackItem[] {
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const item = makeLoraStackItem(name, model, clip)
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const current = normalizeLoraStack(stack)
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if (!item) return current
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const key = loraIdentityKey(name)
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const index = current.findIndex(entry => loraIdentityKey(entry.name) === key)
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if (index >= 0) {
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const next = [...current]
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next[index] = { ...next[index], strengthModel: item.strengthModel, strengthClip: item.strengthClip }
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return next
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}
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if (isImageV2ConsistencyLora(name)) {
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const conceptAt = current.findIndex(entry => isImageV2ConceptLora(entry.name))
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if (conceptAt >= 0) return [...current.slice(0, conceptAt + 1), item, ...current.slice(conceptAt + 1)]
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}
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return [item, ...current]
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}
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export function removeImageV2ConceptLora(stack: unknown, engine?: ImageV2Engine) {
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return normalizeLoraStack(stack).filter(item => !isImageV2ConceptLora(item.name, engine))
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}
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export function defaultImageV2LoraStack(opts: {
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engine: ImageV2Engine
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mode: ImageV2Mode
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xaigen: boolean
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kreaConcept?: string
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}): LoraStackItem[] {
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if (opts.engine === 'krea') {
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const name = String(opts.kreaConcept || '').trim()
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if (!opts.xaigen || !name) return []
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const item = makeLoraStackItem(name, IMAGE_V2_SNOFS_MODEL, IMAGE_V2_SNOFS_CLIP)
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return item ? [item] : []
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}
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const out: LoraStackItem[] = []
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if (opts.xaigen) {
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const concept = makeLoraStackItem(IMAGE_V2_SNOFS_LORA, IMAGE_V2_SNOFS_MODEL, IMAGE_V2_SNOFS_CLIP)
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if (concept) out.push(concept)
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}
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if (opts.mode !== 'generate') {
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const consistency = makeLoraStackItem(IMAGE_V2_CONSISTENCY_LORA, IMAGE_V2_CONSISTENCY_MODEL, IMAGE_V2_CONSISTENCY_CLIP)
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if (consistency) out.push(consistency)
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}
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return out
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}
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export function mergeLegacyImageV2Loras(stack: unknown, opts: {
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engine: ImageV2Engine
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mode: ImageV2Mode
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xaigen: boolean
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snofsModel?: number
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snofsClip?: number
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consistencyModel?: number
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consistencyClip?: number
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kreaConcept?: string
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}): LoraStackItem[] {
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let items = filterLoraStackForImageEngine(stack, opts.engine)
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if (opts.engine === 'krea') {
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const name = String(opts.kreaConcept || '').trim()
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const model = Number(opts.snofsModel) || 0
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const clip = Number(opts.snofsClip) || 0
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if (name && (model > 0 || clip > 0) && !items.some(item => isImageV2ConceptLora(item.name, 'krea'))) {
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return upsertImageV2Lora(items, name, model, clip)
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}
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return items
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}
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const conceptModel = opts.xaigen ? Number(opts.snofsModel) || 0 : 0
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const conceptClip = opts.xaigen ? Number(opts.snofsClip) || 0 : 0
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if ((conceptModel > 0 || conceptClip > 0) && !items.some(item => isImageV2ConceptLora(item.name))) {
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items = upsertImageV2Lora(items, IMAGE_V2_SNOFS_LORA, conceptModel, conceptClip)
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}
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const consistencyModel = opts.mode === 'generate' ? 0 : Number(opts.consistencyModel) || 0
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const consistencyClip = opts.mode === 'generate' ? 0 : Number(opts.consistencyClip) || 0
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if ((consistencyModel > 0 || consistencyClip > 0) && !items.some(item => isImageV2ConsistencyLora(item.name))) {
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items = upsertImageV2Lora(items, IMAGE_V2_CONSISTENCY_LORA, consistencyModel, consistencyClip)
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}
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return items
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}
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