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* feat(images): add upscale model capabilities * fix(config): keep SD GGML upscale opt-in * feat(stablediffusion): add lazy ESRGAN upscale bridge Keep native image ownership in C++ and serialize context creation, inference and teardown. Use upscale_scale in backend options as the explicit upscale-only marker because ModelOptions does not carry usecases. Assisted-by: Codex:gpt-5 * fix(stablediffusion): validate ESRGAN settings * fix(upscale): forward typed settings and contain resolved model paths Typed settings replace legacy options without duplicates. Resolve model and trusted root symlinks before caching the model path, rejecting missing files and escapes. Assisted-by: Codex:gpt-5 * fix(upscale): validate scale and clean failed HTTP outputs Require an explicit scale bounded to 1-16, check backend results, and keep destination cleanup owned by the allocating endpoint. Cover validation, result failures, cleanup, and successful URL responses. Assisted-by: Codex:gpt-5 * feat(studio): add inline image upscale workflow Assisted-by: OpenAI:gpt-5 * test(studio): serve upscale capability fixtures * fix(stablediffusion): default ESRGAN tiling to full frame * feat(gallery): add RealESRGAN anime upscaler * fix(stablediffusion): allow full-frame ESRGAN tiles * fix(routes): select explicit upscale models Give image upscaling dedicated usecase-filtered middleware and keep ordinary image models out of the endpoint. Mark and verify the legacy Diffusers x4 gallery model as an explicit upscaler. Assisted-by: OpenAI:gpt-5 [shell] * refactor(upscale): keep settings in backend options * test(config): keep upscale options backend-specific * fix: keep upscale routing metadata out of backend options --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
240 lines
12 KiB
JavaScript
240 lines
12 KiB
JavaScript
import { expect } from '@playwright/test'
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// Shared fixtures for the Studio front page specs: the installed models, a
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// gallery that offers a model per type, a machine, believable stored history,
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// and stand-ins for the files the history points at.
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//
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// History is seeded by writing the same browser-storage entries the workspaces
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// write, so the page under test reads exactly what it reads in use.
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export const GB = 1024 * 1024 * 1024
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export const ALL_TYPES = ['images', 'video', 'threed', 'tts', 'sound', 'transform', 'diarization']
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const CAPABILITY = {
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images: 'FLAG_IMAGE', video: 'FLAG_VIDEO', threed: 'FLAG_3D', tts: 'FLAG_TTS',
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sound: 'FLAG_SOUND_GENERATION', transform: 'FLAG_AUDIO_TRANSFORM', diarization: 'FLAG_DIARIZATION',
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}
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export const INSTALLED = {
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images: ['flux.1-schnell', 'sd-1.5-lcm'],
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video: ['wan2.1-t2v-1.3b'],
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threed: ['trellis-image-to-3d'],
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tts: ['kokoro-82m'],
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sound: ['ace-step'],
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transform: ['localvqe'],
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diarization: ['sortformer-4spk'],
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}
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export function capabilities(types = ALL_TYPES) {
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return {
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data: types.flatMap(type => INSTALLED[type].map(id => ({ id, capabilities: [CAPABILITY[type]] }))),
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}
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}
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// What the gallery offers when a type has no model, keyed by the tag Studio asks for.
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export const GALLERY = {
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'text-to-image': [{ name: 'flux.1-schnell', description: 'Draws pictures from a sentence', size: 12.4, vram: 13 }],
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'text-to-video': [
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{ name: 'wan2.1-t2v-14b', description: 'Larger clip model', size: 28, vram: 30 },
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{ name: 'wan2.1-t2v-1.3b', description: 'Makes short clips from a sentence', size: 5.4, vram: 6 },
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],
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'image-to-3d': [{ name: 'trellis-image-to-3d', description: 'Turns one picture into a 3D object', size: 6.8, vram: 9 }],
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tts: [{ name: 'kokoro-82m', description: 'Reads text aloud', size: 1.1, vram: 1.5 }],
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music: [{ name: 'ace-step', description: 'Makes music and ambient sound', size: 3.5, vram: 5 }],
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'audio-transform': [{ name: 'localvqe', description: 'Cleans up a recording', size: 0.1, vram: 0.3 }],
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diarization: [{ name: 'sortformer-4spk', description: 'Finds who spoke', size: 0.5, vram: 1 }],
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}
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export const GPU_RESOURCES = {
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type: 'gpu',
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available: true,
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gpus: [{ name: 'RTX 4090', vendor: 'nvidia', total_vram: 24 * GB, used_vram: 8.8 * GB, usage_percent: 36.7 }],
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ram: { total: 64 * GB, used: 18.2 * GB, free: 45.8 * GB, available: 45.8 * GB, usage_percent: 28.4 },
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aggregate: { total_memory: 24 * GB, used_memory: 8.8 * GB, free_memory: 15.2 * GB, usage_percent: 36.7, gpu_count: 1 },
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}
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// Stub everything the front page reads. `types` are the types that have a
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// model; `capabilityModels` supplies complete capability records when a test
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// needs fields beyond a model type. `installs` collects the names POSTed to the
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// install endpoint; after an install the type gains its model on the next
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// capabilities read when `installOnPost` is set.
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export async function mockStudio(page, {
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types = ALL_TYPES,
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capabilityModels,
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resources = GPU_RESOURCES,
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operations = [],
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installOnPost = false,
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capabilitiesStatus = 200,
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installStatus = 200,
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} = {}) {
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const state = { types: [...types], installs: [], capabilityCalls: 0 }
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await page.route('**/api/models/capabilities', route => {
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state.capabilityCalls += 1
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if (capabilitiesStatus !== 200) return route.fulfill({ status: capabilitiesStatus, json: { error: 'down' } })
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return route.fulfill({ json: { data: capabilityModels || capabilities(state.types).data } })
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})
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// The v1 list is the fallback useModels takes when the capabilities call
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// fails; make it fail too so an error state is reachable.
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if (capabilitiesStatus !== 200) {
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await page.route('**/v1/models', route => route.fulfill({ status: 500, json: { error: 'down' } }))
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}
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await page.route('**/api/resources', route => route.fulfill({ json: resources }))
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await page.route('**/api/operations', route => route.fulfill({ json: { operations } }))
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await page.route(/\/api\/models\/estimate\//, route => {
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const name = decodeURIComponent(new URL(route.request().url()).pathname.split('/').pop())
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const hit = Object.values(GALLERY).flat().find(m => m.name === name)
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if (!hit) return route.fulfill({ json: {} })
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return route.fulfill({
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json: {
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sizeBytes: hit.size * GB,
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sizeDisplay: `${hit.size} GB`,
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estimates: { 4096: { vramBytes: hit.vram * GB, vramDisplay: `${hit.vram} GB` } },
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},
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})
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})
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await page.route(/\/api\/models\/install\//, route => {
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const name = decodeURIComponent(new URL(route.request().url()).pathname.split('/').pop())
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state.installs.push(name)
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if (installStatus !== 200) return route.fulfill({ status: installStatus, json: { error: 'no space left' } })
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if (installOnPost) {
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const type = ALL_TYPES.find(t => INSTALLED[t].includes(name))
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if (type && !state.types.includes(type)) state.types.push(type)
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}
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return route.fulfill({ json: { uuid: 'job-1', status: 'ok' } })
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})
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await page.route(/\/api\/models(\?.*)?$/, route => {
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const tag = new URL(route.request().url()).searchParams.get('tag')
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const models = (GALLERY[tag] || []).map(m => ({ name: m.name, id: m.name, description: m.description, installed: false }))
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return route.fulfill({ json: { models, total_pages: 1 } })
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})
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return state
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}
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// --- Files the history points at -------------------------------------------
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const PALETTES = [
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['#f6c8a5', '#6f9db8'], ['#a9c9b8', '#2f5a52'], ['#d8b27a', '#2a5b63'], ['#b7bfd6', '#3d4a73'], ['#e7b3a0', '#7a4b57'],
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]
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export function pictureSvg(seed = 0, w = 640, h = 420) {
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const [a, b] = PALETTES[seed % PALETTES.length]
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return `<svg xmlns="http://www.w3.org/2000/svg" width="${w}" height="${h}" viewBox="0 0 ${w} ${h}">
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<defs><linearGradient id="g" x1="0" y1="0" x2="0" y2="1"><stop offset="0" stop-color="${a}"/><stop offset="1" stop-color="${b}"/></linearGradient></defs>
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<rect width="${w}" height="${h}" fill="url(#g)"/>
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<path d="M0 ${h * 0.72} Q ${w * 0.25} ${h * 0.55} ${w * 0.5} ${h * 0.7} T ${w} ${h * 0.64} V ${h} H0 Z" fill="${b}" opacity=".55"/>
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<circle cx="${w * 0.72}" cy="${h * 0.28}" r="${h * 0.09}" fill="#fff" opacity=".6"/></svg>`
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}
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// One second of silence as a WAV, so a hand-off that fetches the source gets
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// a real audio blob.
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export function silentWav(seconds = 1) {
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const rate = 8000
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const samples = rate * seconds
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const buf = Buffer.alloc(44 + samples * 2)
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buf.write('RIFF', 0); buf.writeUInt32LE(36 + samples * 2, 4); buf.write('WAVE', 8)
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buf.write('fmt ', 12); buf.writeUInt32LE(16, 16); buf.writeUInt16LE(1, 20); buf.writeUInt16LE(1, 22)
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buf.writeUInt32LE(rate, 24); buf.writeUInt32LE(rate * 2, 28); buf.writeUInt16LE(2, 32); buf.writeUInt16LE(16, 34)
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buf.write('data', 36); buf.writeUInt32LE(samples * 2, 40)
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return buf
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}
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export async function stubMedia(page) {
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await page.route('**/generated-images/**', route => {
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const n = [...new URL(route.request().url()).pathname].reduce((s, c) => s + c.charCodeAt(0), 0)
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route.fulfill({ contentType: 'image/svg+xml', body: pictureSvg(n) })
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})
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await page.route('**/generated-audio/**', route => route.fulfill({ contentType: 'audio/wav', body: silentWav() }))
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await page.route('**/generated-videos/**', route => route.fulfill({ status: 404, body: '' }))
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}
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// --- History ---------------------------------------------------------------
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export const KEYS = {
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image: 'localai_image_history',
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video: 'localai_video_history',
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tts: 'localai_tts_history',
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sound: 'localai_sound_history',
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'audio-transform': 'localai_audio_transform_history',
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diarization: 'localai_diarization_history',
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favourites: 'localai_studio_favourites',
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}
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const HARBOUR = 'A fishing harbour at first light, pastel houses, long reflections, 35 mm film grain'
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// A morning's work: a harbour picture with a second take and a clip made from
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// it (one project of three), a narration that came from nothing, a forest, a
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// bowl, a song, a cleaned-up recording and a meeting.
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export function sampleHistory(now = Date.now()) {
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const ago = (minutes) => now - minutes * 60_000
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return {
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image: [
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{ id: 'img-bowls', createdAt: ago(1500), prompt: 'Studio still life, three ceramic bowls on linen, soft window light', model: 'flux.1-schnell', params: { size: '1024x768' }, results: [{ url: '/generated-images/bowls.png' }] },
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{ id: 'img-forest', createdAt: ago(420), prompt: 'Misty pine forest at sunrise, soft light between the trunks', model: 'flux.1-schnell', params: { size: '768x1024' }, results: [{ url: '/generated-images/forest.png' }] },
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{ id: 'img-harbour-2', createdAt: ago(190), prompt: HARBOUR, model: 'flux.1-schnell', params: { size: '1216x832' }, results: [{ url: '/generated-images/harbour-2.png' }], parentId: 'img-harbour', edge: 'take' },
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{ id: 'img-harbour', createdAt: ago(195), prompt: HARBOUR, model: 'flux.1-schnell', params: { size: '1216x832' }, results: [{ url: '/generated-images/harbour.png' }] },
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],
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video: [
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{ id: 'vid-push', createdAt: ago(60), prompt: 'Slow push-in across the water, gulls crossing the frame', model: 'wan2.1-t2v-1.3b', params: { size: '832x480' }, elapsedMs: 118000, results: [{ url: '/generated-videos/push.mp4' }], parentId: 'img-harbour', edge: 'animate' },
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],
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tts: [
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{ id: 'tts-welcome', createdAt: ago(40), prompt: 'Welcome to the harbour tour. The first boats leave at six, and the bakery opens at five.', model: 'kokoro-82m', params: {}, results: [{ url: '/generated-audio/welcome.wav' }] },
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],
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sound: [
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{ id: 'snd-rain', createdAt: ago(300), prompt: 'Lo-fi piano with rain on glass', model: 'ace-step', params: { mode: 'simple' }, results: [{ url: '/generated-audio/rain.wav' }] },
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],
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'audio-transform': [
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{ id: 'trf-clean', createdAt: ago(900), prompt: 'audio: standup.wav', model: 'localvqe', params: {}, results: [{ kind: 'output', url: '/generated-audio/standup-clean.wav' }, { kind: 'input', url: '/generated-audio/standup.wav' }] },
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],
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diarization: [
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{ id: 'dia-sync', createdAt: ago(2200), prompt: 'team-sync-oct-2.wav', model: 'sortformer-4spk', params: { speakers: 3, seconds: 252 }, results: [] },
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],
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}
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}
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// Write entries to browser storage before the page loads, once per browser
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// session, so a reload after "Clear history" does not bring them back.
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export async function seedHistory(page, history, { favourites = [] } = {}) {
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await page.addInitScript(({ history, favourites, keys }) => {
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if (sessionStorage.getItem('studio-seeded')) return
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sessionStorage.setItem('studio-seeded', '1')
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for (const [type, entries] of Object.entries(history)) {
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if (entries.length) localStorage.setItem(keys[type], JSON.stringify(entries))
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}
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if (favourites.length) localStorage.setItem(keys.favourites, JSON.stringify(favourites))
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}, { history, favourites, keys: KEYS })
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}
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// 3D history is IndexedDB. Written from the page, then the page is reloaded.
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export async function seedThreeD(page, entries) {
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await page.evaluate(async (rows) => {
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await new Promise((resolve, reject) => {
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const open = indexedDB.open('localai-3d-history', 1)
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open.onupgradeneeded = () => {
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const store = open.result.createObjectStore('generations', { keyPath: 'id' })
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store.createIndex('createdAt', 'createdAt')
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}
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open.onsuccess = () => {
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const tx = open.result.transaction('generations', 'readwrite')
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for (const row of rows) tx.objectStore('generations').put(row)
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tx.oncomplete = () => { open.result.close(); resolve() }
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tx.onerror = () => reject(tx.error)
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}
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open.onerror = () => reject(open.error)
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})
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}, entries)
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}
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export const readStore = (page, key) => page.evaluate(k => JSON.parse(localStorage.getItem(k) || 'null'), key)
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// The composer has no type chips: the tabs above it are the modes. A type is
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// picked with Alt+1..7, in the order the composer lists in data-types.
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export const composer = (page) => page.getByTestId('studio-composer')
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export async function pickType(page, key) {
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const types = (await composer(page).getAttribute('data-types')).split(' ')
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const n = types.indexOf(key) + 1
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await expect(async () => {
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await page.keyboard.press(`Alt+Digit${n}`)
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await expect(composer(page)).toHaveAttribute('data-type', key, { timeout: 1500 })
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}).toPass({ timeout: 10_000 })
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}
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