From 2b2a89ad91221b2a4797c38eb5e43c9d985be543 Mon Sep 17 00:00:00 2001 From: KyleAtASU Date: Thu, 21 May 2026 14:08:23 -0700 Subject: [PATCH] [feat] build config generator from source in CI instead of committing static output --- .github/workflows/infra-docs.yml | 23 + .gitignore | 2 + consumer-guide/.gitignore | 14 + consumer-guide/README.md | 79 ++ consumer-guide/app/basic_page.tsx | 547 ++++++++++ consumer-guide/app/globals.css | 125 +++ consumer-guide/app/layout.tsx | 25 + consumer-guide/app/page.tsx | 1 + consumer-guide/app/tuning/adv_page.tsx | 955 +++++++++++++++++ consumer-guide/app/tuning/page.tsx | 1 + consumer-guide/data/quickstart.json | 381 +++++++ consumer-guide/data/tuning.json | 103 ++ consumer-guide/next.config.mjs | 17 + consumer-guide/package.json | 26 + consumer-guide/pnpm-lock.yaml | 979 ++++++++++++++++++ consumer-guide/postcss.config.mjs | 8 + consumer-guide/tsconfig.json | 41 + docs/README.md | 32 +- docs/assets/custom.css | 3 +- docs/config-generator/404.html | 1 - 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docs/config-generator/index.html | 35 - docs/config-generator/tuning/index.html | 29 - docs/getting_started/quick_start.md | 9 + 51 files changed, 3367 insertions(+), 131 deletions(-) create mode 100644 consumer-guide/.gitignore create mode 100644 consumer-guide/README.md create mode 100644 consumer-guide/app/basic_page.tsx create mode 100644 consumer-guide/app/globals.css create mode 100644 consumer-guide/app/layout.tsx create mode 100644 consumer-guide/app/page.tsx create mode 100644 consumer-guide/app/tuning/adv_page.tsx create mode 100644 consumer-guide/app/tuning/page.tsx create mode 100644 consumer-guide/data/quickstart.json create mode 100644 consumer-guide/data/tuning.json create mode 100644 consumer-guide/next.config.mjs create mode 100644 consumer-guide/package.json create mode 100644 consumer-guide/pnpm-lock.yaml create mode 100644 consumer-guide/postcss.config.mjs create mode 100644 consumer-guide/tsconfig.json delete mode 100644 docs/config-generator/404.html delete mode 100644 docs/config-generator/404/index.html delete mode 100644 docs/config-generator/_next/static/chunks/00lnv3dtev.hg.js delete mode 100644 docs/config-generator/_next/static/chunks/03~yq9q893hmn.js delete mode 100644 docs/config-generator/_next/static/chunks/09pp0hn~vvlmd.js delete mode 100644 docs/config-generator/_next/static/chunks/09zgp4vzt47uz.js delete mode 100644 docs/config-generator/_next/static/chunks/0aqzonp5suw_8.js delete mode 100644 docs/config-generator/_next/static/chunks/0b67v8aql6uay.js delete mode 100644 docs/config-generator/_next/static/chunks/0vbqj.0q-ozdg.js delete mode 100644 docs/config-generator/_next/static/chunks/0~057k4zp9w3k.js delete mode 100644 docs/config-generator/_next/static/chunks/10.ynogfwbo~..css delete mode 100644 docs/config-generator/_next/static/chunks/11unif--rw5h8.css delete mode 100644 docs/config-generator/_next/static/chunks/16rwf1s.or2~k.js delete mode 100644 docs/config-generator/_next/static/chunks/turbopack-16wm300n587_n.js delete mode 100644 docs/config-generator/_next/static/i8llQRnROcAMGHRPCMaTY/_buildManifest.js delete mode 100644 docs/config-generator/_next/static/i8llQRnROcAMGHRPCMaTY/_clientMiddlewareManifest.js delete mode 100644 docs/config-generator/_next/static/i8llQRnROcAMGHRPCMaTY/_ssgManifest.js delete mode 100644 docs/config-generator/_next/static/media/4fa387ec64143e14-s.0.qu-9752pffj.woff2 delete mode 100644 docs/config-generator/_next/static/media/53b9e256198e5412-s.0-wfv7uh4i7h9.woff2 delete mode 100644 docs/config-generator/_next/static/media/5ce348bf30bf5439-s.0ee55_hj9qcer.woff2 delete mode 100644 docs/config-generator/_next/static/media/6306c77e7c8268e4-s.0mao5jbfbduzp.woff2 delete mode 100644 docs/config-generator/_next/static/media/7178b3e590c64307-s.0nx0ww8fni_q3.woff2 delete mode 100644 docs/config-generator/_next/static/media/797e433ab948586e-s.p.09zddjkbdep5a.woff2 delete mode 100644 docs/config-generator/_next/static/media/7d817b4c03b0c5f1-s.0uzt.a6d44yda.woff2 delete mode 100644 docs/config-generator/_next/static/media/8a480f0b521d4e75-s.0jzbimsg8vl84.woff2 delete mode 100644 docs/config-generator/_next/static/media/bbc41e54d2fcbd21-s.0mvwgmnhv29no.woff2 delete mode 100644 docs/config-generator/_next/static/media/caa3a2e1cccd8315-s.p.09~u27dqhyhd6.woff2 delete mode 100644 docs/config-generator/_next/static/media/fef07dbb0973bf53-s.12tyk43_3sh9u.woff2 delete mode 100644 docs/config-generator/_not-found/index.html delete mode 100644 docs/config-generator/index.html delete mode 100644 docs/config-generator/tuning/index.html diff --git a/.github/workflows/infra-docs.yml b/.github/workflows/infra-docs.yml index 4166d4799..68d229d51 100644 --- a/.github/workflows/infra-docs.yml +++ b/.github/workflows/infra-docs.yml @@ -6,6 +6,7 @@ on: paths: - 'docs/**' - 'examples/**' + - 'consumer-guide/**' - 'mkdocs.yml' - 'requirements-mkdocs.in' - 'requirements-mkdocs.txt' @@ -16,6 +17,7 @@ on: paths: - 'docs/**' - 'examples/**' + - 'consumer-guide/**' - 'mkdocs.yml' - 'requirements-mkdocs.in' - 'requirements-mkdocs.txt' @@ -60,6 +62,27 @@ jobs: - name: Check docs links run: python scripts/check_docs_links.py + - name: Setup Node + uses: actions/setup-node@v4 + with: + node-version: '20' + + - name: Enable pnpm + run: corepack enable + + - name: Install config generator dependencies + working-directory: consumer-guide + run: pnpm install --frozen-lockfile + + - name: Build config generator + working-directory: consumer-guide + run: NEXT_BASE_PATH=/config-generator pnpm build + + - name: Copy config generator into docs site + run: | + mkdir -p site/config-generator + cp -R consumer-guide/out/. site/config-generator/ + - name: Upload artifact uses: actions/upload-pages-artifact@v3 with: diff --git a/.gitignore b/.gitignore index e003506b7..4028ab217 100644 --- a/.gitignore +++ b/.gitignore @@ -22,6 +22,8 @@ samples/ Miniconda3-latest-Linux-x86_64.sh *validation/ data/ +!consumer-guide/data/ +!consumer-guide/data/**/*.json outputs/ outputs_video checkpoints/ diff --git a/consumer-guide/.gitignore b/consumer-guide/.gitignore new file mode 100644 index 000000000..0e77bb80e --- /dev/null +++ b/consumer-guide/.gitignore @@ -0,0 +1,14 @@ +# Dependencies +node_modules + +# Next.js build output / generated files +.next/ +out/ +next-env.d.ts +tsconfig.tsbuildinfo + +# Local env files +.env*.local + +# Misc +.DS_Store diff --git a/consumer-guide/README.md b/consumer-guide/README.md new file mode 100644 index 000000000..b39954917 --- /dev/null +++ b/consumer-guide/README.md @@ -0,0 +1,79 @@ +# FastVideo Config Generator + +A standalone Next.js app that helps users generate FastVideo inference commands. +Deployed under `/config-generator` on the FastVideo docs site. + +Two pages: + +- **Quick Start** (`/config-generator/`) — pick a task + hardware + output mode, get a ready-to-run command. +- **Advanced Tuning** (`/config-generator/tuning/`) — tune generation parameters and see the real benchmarked time. + +## Run locally + +```bash +pnpm install +pnpm dev +``` + +Open **http://localhost:3003/config-generator/** (the app is served under the `/config-generator` base path). + +## Build + +```bash +pnpm build # static export to ./out +``` + +## Data files + +All data lives in `data/`. The `.tsx` pages contain no hardcoded model or benchmark +data — they read these JSON files: + +- **`data/quickstart.json`** — drives the Quick Start page: curated product `profiles`, + plus task / tier / hardware option lists and defaults. +- **`data/tuning.json`** — drives the Advanced Tuning page: every benchmark `run` is one + real measured configuration, plus model / workload / gpu / preset option lists and defaults. + +Both are the machine-readable record of the RTX 5090 / 4090 inference benchmarks +(`5090_inference.xlsx`, `4090_inference.xlsx`). A configuration is included only when the +benchmark actually recorded a generation time — **nothing is estimated**. + +## Adding a configuration + +The pages are data-driven — to add or change a configuration, edit the JSON, not the `.tsx`: + +- **Quick Start** — add an entry to `profiles[]` in `data/quickstart.json`. If it + introduces a new task / hardware / tier, also add it to the matching option list. +- **Advanced Tuning** — add an entry to `runs[]` in `data/tuning.json`. If it + introduces a new model / workload / gpu / preset, also add it to the matching list. + +The only thing not in JSON: a task's `icon` must be one of the lucide-react icons +imported in `basic_page.tsx` (`Film`, `Image`, `Sparkles`, `Gamepad2`). A new icon +needs a small `.tsx` edit. + +## Quick Start page logic + +- Matches the user's selection (**task + tier + gpu + vram**) against `quickstart.json` + `profiles[]`. One profile per combination. +- Tier rule: **Quick Generate** = fastest small/distilled model; **High Quality** = largest + model. Prefer FastVideo-owned models; fall back to other models. Both must have a passing + benchmark. +- If no profile matches, the combination shows "Not suitable" — no command is generated. +- All displayed numbers (time, VRAM) come straight from the benchmark. + +## Advanced Tuning page logic + +- The **Model** dropdown is filtered by **Workload Type + GPU**: it only lists models with a + passing benchmark for that combination. Models that ran out of memory on a GPU do not + appear for it. +- **Est. Time** is a real measured generation time, looked up by model + GPU + attention + backend — there is no formula. Selecting a model snaps resolution / frames / steps / + attention to its benchmarked values; tuning them away flags the time with `⚠`. +- Top metrics — Video Length (`frames/fps`), Total Pixels (`h*w*frames`), Latent Tokens + (`((frames-1)/4+1)*(h/8)*(w/8)`) — are deterministic arithmetic on the chosen config. +- The generated Python command maps each control to a real FastVideo API field + (`VideoGenerator.from_pretrained` kwargs, `SamplingParam` attributes). + +## Notes + +This app is independent from the main FastVideo Python package. Run all commands from +this `consumer-guide/` directory. diff --git a/consumer-guide/app/basic_page.tsx b/consumer-guide/app/basic_page.tsx new file mode 100644 index 000000000..a4358b49d --- /dev/null +++ b/consumer-guide/app/basic_page.tsx @@ -0,0 +1,547 @@ +"use client" + +import { useEffect, useState, useMemo } from "react" +import { Monitor, Cpu, HardDrive, Layers, Info, Copy, Check, Film, Image, Sparkles, Gamepad2 } from "lucide-react" +import quickstartData from "@/data/quickstart.json" + +type IconName = "Film" | "Image" | "Sparkles" | "Gamepad2" + +interface Config { + model: string + modelShort: string + attn: string + h: number + w: number + frames: number + steps: number + cfg: number + vramMin: number + ramMin: number + timeSec: number + firstRunSec?: number + vram: string + offload: boolean + ditCpuOffload?: boolean + ditLayerwiseOffload?: boolean + vaeCpuOffload?: boolean + textEncoderCpuOffload?: boolean + pinCpuMemory?: boolean + useFsdpInference?: boolean + fps?: number + keyboardDim?: number + extra?: string +} + +interface TaskOption { + id: string + label: string + sub: string + icon: string +} + +interface HardwareOption { + id: string + label: string + defaultVramGb: number + vramOptionsGb: number[] +} + +interface TierOption { + id: string + name: string + desc: string + badge?: string +} + +interface Profile extends Config { + gpu: string + vramGb: number + task: string + tier: string + status: "available" +} + +interface QuickstartDefaults { + task: string + tier: string + gpu: string + ramGb: number + numGpus: number +} + +function formatTime(sec: number): string { + if (sec < 90) return `~${Math.round(sec)} s` + return `~${Math.round(sec / 60)} min` +} + +function InfoTip({ content }: { content: string }) { + const [show, setShow] = useState(false) + return ( + setShow(true)} + onMouseLeave={() => setShow(false)} + > + + {show && ( + + {content} + + )} + + ) +} + +const ICONS: Record = { + Film, + Image, + Sparkles, + Gamepad2, +} + +const DEFAULTS = quickstartData.defaults as QuickstartDefaults +const RAM_OPTIONS = quickstartData.ramOptionsGb as number[] +const GPU_COUNT_OPTIONS = quickstartData.gpuCountOptions as number[] +const HARDWARE = quickstartData.hardware as HardwareOption[] +const HARDWARE_BY_ID = Object.fromEntries(HARDWARE.map((hardware) => [hardware.id, hardware])) as Record +const PROFILES = quickstartData.profiles as Profile[] +const TASKS = quickstartData.tasks as TaskOption[] +const TIERS = quickstartData.tiers as TierOption[] + +function getProfile(task: string, tier: string, gpu: string, vramGb: number): Profile | undefined { + return PROFILES.find((profile) => + profile.task === task && + profile.tier === tier && + profile.gpu === gpu && + profile.vramGb === vramGb + ) +} + +export default function FastVideoConfigSelector() { + const [task, setTask] = useState(DEFAULTS.task) + const [tier, setTier] = useState(DEFAULTS.tier) + const [gpu, setGpu] = useState(DEFAULTS.gpu) + const [vram, setVram] = useState(HARDWARE_BY_ID[DEFAULTS.gpu]?.defaultVramGb ?? HARDWARE[0]?.defaultVramGb ?? 0) + const [ram, setRam] = useState(DEFAULTS.ramGb) + const [ngpu, setNgpu] = useState(DEFAULTS.numGpus) + const [copied, setCopied] = useState(false) + + const hardware = HARDWARE_BY_ID[gpu] ?? HARDWARE[0] + const config = getProfile(task, tier, gpu, vram) + + useEffect(() => { + const selectedHardware = HARDWARE_BY_ID[gpu] + if (!selectedHardware) return + const options = selectedHardware.vramOptionsGb + if (!options.includes(vram)) { + setVram(selectedHardware.defaultVramGb) + } + }, [gpu, vram]) + + // Report content height to the parent docs page so the embedding iframe can + // auto-resize — same mechanism as the Advanced Tuning guide. + useEffect(() => { + if (typeof window === "undefined" || window.parent === window) return + + let frame = 0 + const timers: number[] = [] + + const sendHeight = () => { + window.cancelAnimationFrame(frame) + frame = window.requestAnimationFrame(() => { + const height = Math.max( + document.body.scrollHeight, + document.body.offsetHeight, + document.documentElement.scrollHeight, + document.documentElement.offsetHeight, + ) + window.parent.postMessage({ type: "quick-start-guide-height", height }, "*") + }) + } + + sendHeight() + + const ro = new ResizeObserver(sendHeight) + ro.observe(document.documentElement) + ro.observe(document.body) + + const mo = new MutationObserver(sendHeight) + mo.observe(document.documentElement, { + attributes: true, + childList: true, + characterData: true, + subtree: true, + }) + + window.addEventListener("load", sendHeight) + window.addEventListener("resize", sendHeight) + + for (const delay of [100, 300, 1000]) { + timers.push(window.setTimeout(sendHeight, delay)) + } + + return () => { + window.cancelAnimationFrame(frame) + timers.forEach((timer) => window.clearTimeout(timer)) + window.removeEventListener("load", sendHeight) + window.removeEventListener("resize", sendHeight) + mo.disconnect() + ro.disconnect() + } + }, []) + + const warning = useMemo(() => { + if (!config) { + return null + } + if (vram < config.vramMin) { + return `This mode requires ${config.vramMin} GB VRAM. Your selection is ${vram} GB — consider switching to Quick Try.` + } + if (ram < config.ramMin) { + return `This mode requires ${config.ramMin} GB RAM. Your selection is ${ram} GB.` + } + return null + }, [vram, ram, config]) + + const command = useMemo(() => { + if (!config) return "" + + const fps = config.fps ?? 24 + const workloadType = task === "ti2v" ? "i2v" : task + + if (task === "game") { + const offloadKwargs = [ + config.ditCpuOffload ? " dit_cpu_offload=True," : null, + config.ditLayerwiseOffload ? " dit_layerwise_offload=True," : null, + config.vaeCpuOffload ? " vae_cpu_offload=True," : null, + config.textEncoderCpuOffload ? " text_encoder_cpu_offload=True," : null, + config.pinCpuMemory ? " pin_cpu_memory=True," : null, + config.useFsdpInference ? " use_fsdp_inference=True," : null, + ].filter((line): line is string => Boolean(line)) + const keyboardDim = config.keyboardDim ?? 4 + return [ + "# Game control uses the Python API because mouse/keyboard", + "# conditions are tensors, not simple CLI fields.", + "", + "# Install once:", + "# pip install fastvideo", + "", + "# Save this file as run.py and run:", + "# python run.py", + "import os", + "import torch", + "from fastvideo import VideoGenerator", + "from fastvideo.models.dits.matrixgame.utils import create_action_presets", + "", + `os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "${config.attn}"`, + "", + "generator = VideoGenerator.from_pretrained(", + ` "${config.model}",`, + ` num_gpus=${ngpu},`, + ...offloadKwargs, + ")", + "", + `num_frames = ${config.frames}`, + `actions = create_action_presets(num_frames, keyboard_dim=${keyboardDim})`, + `grid_sizes = torch.tensor([${Math.floor((config.frames - 1) / 4) + 1}, ${Math.floor(config.h / 8)}, ${Math.floor(config.w / 8)}])`, + "", + "generator.generate_video(", + ' prompt="",', + ' image_path="./input.png",', + ' mouse_cond=actions["mouse"].unsqueeze(0),', + ' keyboard_cond=actions["keyboard"].unsqueeze(0),', + " grid_sizes=grid_sizes,", + ` height=${config.h},`, + ` width=${config.w},`, + ` fps=${fps},`, + " seed=42,", + ` num_frames=${config.frames},`, + ` num_inference_steps=${config.steps},`, + ` guidance_scale=${config.cfg.toFixed(1)},`, + ' output_path="outputs/",', + " save_video=True,", + ")", + ].join("\n") + } + + const offloadYaml = [ + ` dit: ${Boolean(config.ditCpuOffload)}`, + ` dit_layerwise: ${Boolean(config.ditLayerwiseOffload)}`, + ` text_encoder: ${Boolean(config.textEncoderCpuOffload)}`, + " image_encoder: false", + ` vae: ${Boolean(config.vaeCpuOffload)}`, + ` pin_cpu_memory: ${Boolean(config.pinCpuMemory)}`, + ] + const inputsYaml = task === "i2v" || task === "ti2v" + ? [ + " inputs:", + " image_path: ./input.png", + ] + : [] + const fsdpYaml = config.useFsdpInference ? [" use_fsdp_inference: true"] : [] + + return [ + "# Install once:", + "# pip install fastvideo", + "", + `# ${hardware.label} benchmark: ${formatTime(config.timeSec)} generation time${config.firstRunSec ? `, ${formatTime(config.firstRunSec)} first run including model load` : ""}.`, + "", + "cat > fastvideo-generate.yaml <<'YAML'", + "generator:", + ` model_path: ${config.model}`, + " engine:", + ` num_gpus: ${ngpu}`, + " offload:", + ...offloadYaml, + ...fsdpYaml, + " pipeline:", + ` workload_type: ${workloadType}`, + "", + "request:", + ' prompt: "your prompt here"', + ...inputsYaml, + " sampling:", + ` height: ${config.h}`, + ` width: ${config.w}`, + ` fps: ${fps}`, + " seed: 42", + ` num_frames: ${config.frames}`, + ` num_inference_steps: ${config.steps}`, + ` guidance_scale: ${config.cfg.toFixed(1)}`, + " output:", + " output_path: outputs/", + " save_video: true", + "YAML", + "", + `FASTVIDEO_ATTENTION_BACKEND=${config.attn} \\`, + " fastvideo generate --config fastvideo-generate.yaml", + ].join("\n") + }, [config, hardware.label, ngpu, task]) + + const copyCommand = async () => { + if (!command) return + await navigator.clipboard.writeText(command) + setCopied(true) + setTimeout(() => setCopied(false), 2000) + } + + return ( +
+
+ {/* Step 1: Task Selection */} +
+
+ 1 +

What do you want to make?

+
+
+ {TASKS.map(({ id, label, sub, icon }) => { + const Icon = ICONS[icon as IconName] ?? Film + return ( + + ) + })} +
+
+ + {/* Step 2: Machine Specs */} +
+
+ 2 +

Your machine specs

+
+
+
+
+ + GPU Model +
+ +
+
+
+ + VRAM (GB) +
+ +
+
+
+ + RAM (GB) +
+ +
+
+
+ + Number of GPUs +
+ +
+
+
+ + {/* Step 3: Output Mode */} +
+
+ 3 +

Output mode

+
+
+ {TIERS.map(({ id, name, desc, badge }) => { + const tierConfig = getProfile(task, id, gpu, vram) + return ( + + ) + })} +
+ {warning && ( +
+ {warning} +
+ )} +
+ + {/* Output Configuration */} +
+
+ + + +

Your configuration

+
+
+ {/* Meta Cards */} +
+
+
Model
+
{config?.modelShort ?? "Unavailable"}
+
+
+
Est. Generation Time
+
{config ? formatTime(config.timeSec) : "Unavailable"}
+
+
+
Peak VRAM
+
{config?.vram ?? "Unavailable"}
+
+
+ {/* Command Block */} +
+ {command && ( + + )} + {command ? ( + 
+                  {command}
+
+ ) : ( +
+ {`${hardware.label} (${vram} GB) is not suitable for ${tier === "quick" ? "Quick Generate" : "High Quality"} on this task.`} +
+ )} +
+
+
+
+
+ ) +} diff --git a/consumer-guide/app/globals.css b/consumer-guide/app/globals.css new file mode 100644 index 000000000..beb4040a7 --- /dev/null +++ b/consumer-guide/app/globals.css @@ -0,0 +1,125 @@ +@import 'tailwindcss'; +@import 'tw-animate-css'; + +@custom-variant dark (&:is(.dark *)); + +:root { + --background: oklch(0.985 0 0); + --foreground: oklch(0.145 0 0); + --card: oklch(1 0 0); + --card-foreground: oklch(0.145 0 0); + --popover: oklch(1 0 0); + --popover-foreground: oklch(0.145 0 0); + --primary: oklch(0.58 0.22 264); + --primary-foreground: oklch(1 0 0); + --secondary: oklch(0.94 0.03 264); + --secondary-foreground: oklch(0.38 0.16 264); + --muted: oklch(0.96 0.01 264); + --muted-foreground: oklch(0.556 0 0); + --accent: oklch(0.93 0.04 264); + --accent-foreground: oklch(0.38 0.16 264); + --destructive: oklch(0.577 0.245 27.325); + --destructive-foreground: oklch(0.577 0.245 27.325); + --border: oklch(0.922 0 0); + --input: oklch(0.922 0 0); + --ring: oklch(0.58 0.22 264); + --chart-1: oklch(0.646 0.222 41.116); + --chart-2: oklch(0.6 0.118 184.704); + --chart-3: oklch(0.398 0.07 227.392); + --chart-4: oklch(0.828 0.189 84.429); + --chart-5: oklch(0.769 0.188 70.08); + --radius: 0.625rem; + --sidebar: oklch(0.985 0 0); + --sidebar-foreground: oklch(0.145 0 0); + --sidebar-primary: oklch(0.58 0.22 264); + --sidebar-primary-foreground: oklch(1 0 0); + --sidebar-accent: oklch(0.93 0.04 264); + --sidebar-accent-foreground: oklch(0.38 0.16 264); + --sidebar-border: oklch(0.922 0 0); + --sidebar-ring: oklch(0.708 0 0); +} + +.dark { + --background: oklch(0.145 0 0); + --foreground: oklch(0.985 0 0); + --card: oklch(0.145 0 0); + --card-foreground: oklch(0.985 0 0); + --popover: oklch(0.145 0 0); + --popover-foreground: oklch(0.985 0 0); + --primary: oklch(0.985 0 0); + --primary-foreground: oklch(0.205 0 0); + --secondary: oklch(0.269 0 0); + --secondary-foreground: oklch(0.985 0 0); + --muted: oklch(0.269 0 0); + --muted-foreground: oklch(0.708 0 0); + --accent: oklch(0.269 0 0); + --accent-foreground: oklch(0.985 0 0); + --destructive: oklch(0.396 0.141 25.723); + --destructive-foreground: oklch(0.637 0.237 25.331); + --border: oklch(0.269 0 0); + --input: oklch(0.269 0 0); + --ring: oklch(0.439 0 0); + --chart-1: oklch(0.488 0.243 264.376); + --chart-2: oklch(0.696 0.17 162.48); + --chart-3: oklch(0.769 0.188 70.08); + --chart-4: oklch(0.627 0.265 303.9); + --chart-5: oklch(0.645 0.246 16.439); + --sidebar: oklch(0.205 0 0); + --sidebar-foreground: oklch(0.985 0 0); + --sidebar-primary: oklch(0.488 0.243 264.376); + --sidebar-primary-foreground: oklch(0.985 0 0); + --sidebar-accent: oklch(0.269 0 0); + --sidebar-accent-foreground: oklch(0.985 0 0); + --sidebar-border: oklch(0.269 0 0); + --sidebar-ring: oklch(0.439 0 0); +} + +@theme inline { + --font-sans: 'Geist', 'Geist Fallback'; + --font-mono: 'Geist Mono', 'Geist Mono Fallback'; + --color-background: var(--background); + --color-foreground: var(--foreground); + --color-card: var(--card); + --color-card-foreground: var(--card-foreground); + --color-popover: var(--popover); + --color-popover-foreground: var(--popover-foreground); + --color-primary: var(--primary); + --color-primary-foreground: var(--primary-foreground); + --color-secondary: var(--secondary); + --color-secondary-foreground: var(--secondary-foreground); + --color-muted: var(--muted); + --color-muted-foreground: var(--muted-foreground); + --color-accent: var(--accent); + --color-accent-foreground: var(--accent-foreground); + --color-destructive: var(--destructive); + --color-destructive-foreground: var(--destructive-foreground); + --color-border: var(--border); + --color-input: var(--input); + --color-ring: var(--ring); + --color-chart-1: var(--chart-1); + --color-chart-2: var(--chart-2); + --color-chart-3: var(--chart-3); + --color-chart-4: var(--chart-4); + --color-chart-5: var(--chart-5); + --radius-sm: calc(var(--radius) - 4px); + --radius-md: calc(var(--radius) - 2px); + --radius-lg: var(--radius); + --radius-xl: calc(var(--radius) + 4px); + --color-sidebar: var(--sidebar); + --color-sidebar-foreground: var(--sidebar-foreground); + --color-sidebar-primary: var(--sidebar-primary); + --color-sidebar-primary-foreground: var(--sidebar-primary-foreground); + --color-sidebar-accent: var(--sidebar-accent); + --color-sidebar-accent-foreground: var(--sidebar-accent-foreground); + --color-sidebar-border: var(--sidebar-border); + --color-sidebar-ring: var(--sidebar-ring); +} + +@layer base { + * { + @apply border-border outline-ring/50; + } + body { + @apply bg-white text-foreground; + } +} diff --git a/consumer-guide/app/layout.tsx b/consumer-guide/app/layout.tsx new file mode 100644 index 000000000..681bd0609 --- /dev/null +++ b/consumer-guide/app/layout.tsx @@ -0,0 +1,25 @@ +import type { Metadata } from 'next' +import { Geist, Geist_Mono } from 'next/font/google' +import './globals.css' + +const _geist = Geist({ subsets: ["latin"] }); +const _geistMono = Geist_Mono({ subsets: ["latin"] }); + +export const metadata: Metadata = { + title: 'FastVideo Config Generator', + description: 'Choose your hardware and task to generate a FastVideo configuration command', +} + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode +}>) { + return ( + + + {children} + + + ) +} diff --git a/consumer-guide/app/page.tsx b/consumer-guide/app/page.tsx new file mode 100644 index 000000000..bf391b925 --- /dev/null +++ b/consumer-guide/app/page.tsx @@ -0,0 +1 @@ +export { default } from "./basic_page" diff --git a/consumer-guide/app/tuning/adv_page.tsx b/consumer-guide/app/tuning/adv_page.tsx new file mode 100644 index 000000000..7b3080ba7 --- /dev/null +++ b/consumer-guide/app/tuning/adv_page.tsx @@ -0,0 +1,955 @@ +"use client" + +import { useState, useMemo, useEffect, type CSSProperties } from "react" +import { + Monitor, Cpu, Film, Sparkles, Zap, HardDrive, BarChart3, + Copy, Check, Info, ChevronDown, ChevronUp, Settings2, + Layers, Clock, Database, Gauge +} from "lucide-react" +import tuningData from "@/data/tuning.json" + +// Types +interface Config { + // Category A - Model & Hardware + model_id: string + workload_type: string + gpu: string + num_gpus: number + // Category B - Video Spec + height: number + width: number + num_frames: number + fps: number + // Category C - Quality + num_inference_steps: number + guidance_scale: number + embedded_cfg_scale: number + flow_shift: number | null + seed: number + // Category D - Speed + attention_backend: string + VSA_sparsity: number + dmd_denoising_steps: string + // Category E - Memory + dit_cpu_offload: boolean + dit_layerwise_offload: boolean + vae_cpu_offload: boolean + text_encoder_cpu_offload: boolean + image_encoder_cpu_offload: boolean + pin_cpu_memory: boolean + use_fsdp_inference: boolean +} + +const SECTION_THEMES = { + sky: { + accent: "#3867f0", + soft: "#e9eefc", + tint: "#f8faff", + border: "#c9d5fb", + }, + emerald: { + accent: "#089da8", + soft: "#e7f7f8", + tint: "#f4fbfb", + border: "#9ddde2", + }, + amber: { + accent: "#f25a00", + soft: "#fff0e8", + tint: "#fff8f4", + border: "#ffc6a6", + }, + violet: { + accent: "#00983f", + soft: "#e9f8ef", + tint: "#f6fcf8", + border: "#9edeb7", + }, + rose: { + accent: "#a84ac2", + soft: "#f6edf9", + tint: "#fcf7fd", + border: "#dfb6eb", + }, + slate: { + accent: "#475569", + soft: "#f1f5f9", + tint: "#f8fafc", + border: "#cbd5e1", + }, +} + +interface BenchmarkRun { + model: string + gpu: string + height: number + width: number + frames: number + steps: number + attention: string + generationSeconds?: number + runtimeSeconds?: number +} + +interface ModelOption { + id: string + name: string + size: string + workload: string + keyboardDim?: number + dmdMode?: boolean + dmdNote?: string +} + +interface WorkloadOption { + id: string + name: string + icon: string +} + +interface GpuOption { + id: string + name: string + vram: string +} + +interface ResolutionPreset { + height: number + width: number + label: string +} + +interface FramePreset { + frames: number + label: string +} + +interface AttentionBackend { + id: string + name: string + shortName: string + desc: string + speed: string +} + +const modelOptions = tuningData.models as ModelOption[] +const workloadOptions = tuningData.workloads as WorkloadOption[] +const gpuOptions = tuningData.gpus as GpuOption[] +const resolutionPresets = tuningData.resolutionPresets as ResolutionPreset[] +const framePresets = tuningData.framePresets as FramePreset[] +const attentionBackends = tuningData.attentionBackends as AttentionBackend[] +const BENCHMARK_RUNS = tuningData.runs as BenchmarkRun[] +const MODEL_BY_ID = Object.fromEntries(modelOptions.map((model) => [model.id, model])) as Record +const ATTENTION_BY_ID = Object.fromEntries(attentionBackends.map((backend) => [backend.id, backend])) as Record + +// Tooltip component +function Tooltip({ content, side = "top", iconClassName }: { content: string; side?: "top" | "right" | "bottom"; iconClassName?: string }) { + const [show, setShow] = useState(false) + const tooltipClass = + side === "right" + ? "absolute left-full top-1/2 z-50 ml-2 w-72 -translate-y-1/2 rounded-lg border border-slate-200 bg-white p-3 text-xs text-slate-600 shadow-xl" + : side === "bottom" + ? "absolute top-full left-1/2 z-50 mt-2 w-64 -translate-x-1/2 rounded-lg border border-slate-200 bg-white p-3 text-xs text-slate-600 shadow-xl" + : "absolute bottom-full left-1/2 z-50 mb-2 w-64 -translate-x-1/2 rounded-lg border border-slate-200 bg-white p-3 text-xs text-slate-600 shadow-xl" + const arrowClass = + side === "right" + ? "absolute right-full top-1/2 -translate-y-1/2 border-4 border-transparent border-r-white" + : side === "bottom" + ? "absolute left-1/2 bottom-full -translate-x-1/2 border-4 border-transparent border-b-white" + : "absolute left-1/2 top-full -translate-x-1/2 border-4 border-transparent border-t-white" + + return ( +
+ + {show && ( +
+ {content} +
+
+ )} +
+ ) +} + +// Collapsible section +function Section({ + title, + icon: Icon, + number, + children, + defaultOpen = true, + color = "sky" +}: { + title: string + icon: React.ElementType + number: string + children: React.ReactNode + defaultOpen?: boolean + color?: "sky" | "emerald" | "amber" | "violet" | "rose" | "slate" +}) { + const [open, setOpen] = useState(defaultOpen) + const theme = SECTION_THEMES[color] + const sectionStyle = { + "--section-color": theme.accent, + "--section-soft": theme.soft, + "--section-tint": theme.tint, + "--section-border": theme.border, + } as CSSProperties + + return ( +
+ + {open &&
{children}
} +
+ ) +} + +// Input components +function NumberInput({ + label, + value, + onChange, + min, + max, + step = 1, + tooltip, + unit +}: { + label: string + value: number + onChange: (v: number) => void + min?: number + max?: number + step?: number + tooltip?: string + unit?: string +}) { + return ( +
+ +
+ onChange(Number(e.target.value))} + min={min} + max={max} + step={step} + className="w-full rounded-lg border border-slate-300 bg-white px-3 py-2.5 text-sm text-slate-900 shadow-sm focus:border-[var(--section-color)] focus:outline-none focus:ring-2 focus:ring-[var(--section-color)]/20" + + /> + {unit && {unit}} +
+
+ ) +} + +function SelectInput({ + label, + value, + onChange, + options, + tooltip, + disabled = false +}: { + label: string + value: string + onChange: (v: string) => void + options: { id: string; name: string; desc?: string }[] + tooltip?: string + disabled?: boolean +}) { + return ( +
+ + +
+ ) +} + +function Toggle({ + label, + checked, + onChange, + tooltip, + disabled = false +}: { + label: string + checked: boolean + onChange: (v: boolean) => void + tooltip?: string + disabled?: boolean +}) { + return ( + + ) +} + +export default function AdvancedTuningPage() { + const [copied, setCopied] = useState(false) + const [config, setConfig] = useState(tuningData.defaults as Config) + + const videoLength = useMemo(() => (config.num_frames / config.fps).toFixed(1), [config.num_frames, config.fps]) + const totalPixels = useMemo(() => config.height * config.width * config.num_frames, [config.height, config.width, config.num_frames]) + + // LATENT TOKENS — the sequence length the DiT actually processes. The VAE + // compresses the video 4x in time and 8x8 in space; the DiT flattens that + // latent grid into a token sequence. Attention cost scales with its square. + const latentTokens = useMemo(() => { + const t = Math.floor((config.num_frames - 1) / 4) + 1 + const h = Math.floor(config.height / 8) + const w = Math.floor(config.width / 8) + return t * h * w + }, [config.num_frames, config.height, config.width]) + + // EST. TIME — real measured generation time, looked up from data/tuning.json + // by model + GPU + attention backend. There is no formula: the tuning page allows + // arbitrary configs, but only the benchmarked points have a real time. If the user + // tunes resolution / frames / steps away from the benchmarked run, the value is + // flagged as no longer matching their config. + const benchmark = useMemo(() => { + const run = BENCHMARK_RUNS.find( + (r) => + r.model === config.model_id && + MODEL_BY_ID[r.model]?.workload === config.workload_type && + r.gpu === config.gpu && + r.attention === config.attention_backend, + ) + if (!run) return null + const deviated = + config.height !== run.height || + config.width !== run.width || + config.num_frames !== run.frames || + config.num_inference_steps !== run.steps + return { run, deviated } + }, [ + config.model_id, + config.workload_type, + config.gpu, + config.attention_backend, + config.height, + config.width, + config.num_frames, + config.num_inference_steps, + ]) + + // When the model or GPU changes, snap the time-affecting parameters to the + // values that model + GPU was actually benchmarked at, so the page defaults to + // a real measured configuration. No-op if that model + GPU has no benchmark. + useEffect(() => { + const run = + BENCHMARK_RUNS.find( + (r) => + r.model === config.model_id && + MODEL_BY_ID[r.model]?.workload === config.workload_type && + r.gpu === config.gpu && + r.attention === config.attention_backend, + ) ?? + BENCHMARK_RUNS.find( + (r) => + r.model === config.model_id && + MODEL_BY_ID[r.model]?.workload === config.workload_type && + r.gpu === config.gpu, + ) + if (!run) return + setConfig((prev) => ({ + ...prev, + height: run.height, + width: run.width, + num_frames: run.frames, + num_inference_steps: run.steps, + attention_backend: run.attention, + })) + }, [config.model_id, config.workload_type, config.gpu]) + + // The Model dropdown offers successful benchmark profiles for the currently + // selected Workload Type + GPU. If the same model has multiple successful + // attention backends, each benchmarked backend is listed separately. + const availableModelRuns = useMemo( + () => + BENCHMARK_RUNS.filter( + (run) => + MODEL_BY_ID[run.model]?.workload === config.workload_type && + run.gpu === config.gpu, + ), + [config.workload_type, config.gpu], + ) + + // Keep the selected model valid when Workload Type / GPU changes. + useEffect(() => { + if (availableModelRuns.length === 0) return + if (!availableModelRuns.some((run) => run.model === config.model_id && run.attention === config.attention_backend)) { + setConfig((prev) => ({ + ...prev, + model_id: availableModelRuns[0].model, + attention_backend: availableModelRuns[0].attention, + })) + } + }, [availableModelRuns, config.model_id, config.attention_backend]) + + const hasAvailableModelRuns = availableModelRuns.length > 0 + const selectedModelRun = `${config.model_id}::${config.attention_backend}` + + const command = useMemo(() => { + const isGame = config.workload_type === "game" + const isI2VLocal = config.workload_type === "i2v" || config.workload_type === "ti2v" + + // Engine kwargs: forwarded directly into VideoGenerator.from_pretrained(...). + // Only the subset listed in fastvideo/entrypoints/video_generator.py + // (_FROM_PRETRAINED_CONVENIENCE_KWARGS) is supported there. + const engineKwargs: string[] = [` num_gpus=${config.num_gpus},`] + if (config.dit_cpu_offload) engineKwargs.push(` dit_cpu_offload=True,`) + if (config.dit_layerwise_offload) engineKwargs.push(` dit_layerwise_offload=True,`) + if (config.vae_cpu_offload) engineKwargs.push(` vae_cpu_offload=True,`) + if (config.text_encoder_cpu_offload) engineKwargs.push(` text_encoder_cpu_offload=True,`) + if (config.image_encoder_cpu_offload && isI2VLocal) { + engineKwargs.push(` image_encoder_cpu_offload=True,`) + } + if (config.pin_cpu_memory) engineKwargs.push(` pin_cpu_memory=True,`) + if (config.use_fsdp_inference && config.num_gpus > 1) { + engineKwargs.push(` use_fsdp_inference=True,`) + } + + if (isGame) { + const keyboardDim = MODEL_BY_ID[config.model_id]?.keyboardDim ?? 4 + return [ + "# Install once:", + "# pip install fastvideo", + "", + "# Save this file as run.py and run:", + "# python run.py", + "import os", + "import torch", + "from fastvideo import VideoGenerator", + "from fastvideo.models.dits.matrixgame.utils import create_action_presets", + "", + `os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "${config.attention_backend}"`, + "", + "generator = VideoGenerator.from_pretrained(", + ` "${config.model_id}",`, + ...engineKwargs, + ")", + "", + `num_frames = ${config.num_frames}`, + `actions = create_action_presets(num_frames, keyboard_dim=${keyboardDim})`, + `grid_sizes = torch.tensor([${Math.floor((config.num_frames - 1) / 4) + 1}, ${Math.floor(config.height / 8)}, ${Math.floor(config.width / 8)}])`, + "", + "generator.generate_video(", + ' prompt="",', + ' image_path="./input.png",', + ' mouse_cond=actions["mouse"].unsqueeze(0),', + ' keyboard_cond=actions["keyboard"].unsqueeze(0),', + " grid_sizes=grid_sizes,", + ` height=${config.height},`, + ` width=${config.width},`, + ` fps=${config.fps},`, + " seed=42,", + ` num_frames=${config.num_frames},`, + ` num_inference_steps=${config.num_inference_steps},`, + ` guidance_scale=${config.guidance_scale},`, + ' output_path="outputs/",', + " save_video=True,", + ")", + ].join("\n") + } + + // SamplingParam fields: real attribute names from fastvideo/api/sampling_param.py. + const paramAssigns: string[] = [ + `param.height = ${config.height}`, + `param.width = ${config.width}`, + `param.num_frames = ${config.num_frames}`, + `param.fps = ${config.fps}`, + `param.num_inference_steps = ${config.num_inference_steps}`, + `param.guidance_scale = ${config.guidance_scale}`, + ] + if (config.seed !== -1) paramAssigns.push(`param.seed = ${config.seed}`) + if (isI2VLocal) paramAssigns.push(`param.image_path = "./input.png"`) + + // Pipeline-config-level overrides (embedded_cfg_scale, flow_shift, VSA_sparsity) + // are not part of from_pretrained convenience kwargs. They live in the model's + // pipeline config JSON (see fastvideo/configs/*.json). Surface as comment so users + // know they need a custom config file to apply them. + const pipelineNotes: string[] = [] + if (config.embedded_cfg_scale !== 6.0) { + pipelineNotes.push(`# embedded_cfg_scale: ${config.embedded_cfg_scale}`) + } + if (config.flow_shift !== null) { + pipelineNotes.push(`# flow_shift: ${config.flow_shift}`) + } + if (config.attention_backend === "VIDEO_SPARSE_ATTN" && config.VSA_sparsity > 0) { + pipelineNotes.push(`# VSA_sparsity: ${config.VSA_sparsity}`) + } + + const lines: string[] = [ + "# Install once:", + "# pip install fastvideo", + "", + "# Save this file as run.py and run:", + "# python run.py", + "import os", + "from fastvideo import VideoGenerator, SamplingParam", + "", + `os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "${config.attention_backend}"`, + "", + "generator = VideoGenerator.from_pretrained(", + ` "${config.model_id}",`, + ...engineKwargs, + ")", + "", + `param = SamplingParam.from_pretrained("${config.model_id}")`, + ...paramAssigns, + "", + ] + + if (pipelineNotes.length) { + lines.push( + "# Pipeline-config-level overrides (require a custom config file):", + ...pipelineNotes, + "", + ) + } + + lines.push( + "generator.generate_video(", + ' "your prompt here",', + " sampling_param=param,", + ' output_path="outputs/",', + " save_video=True,", + ")", + ) + + return lines.join("\n") + }, [config]) + + const copyCommand = () => { + navigator.clipboard.writeText(command) + setCopied(true) + setTimeout(() => setCopied(false), 2000) + } + + const updateConfig = (key: K, value: Config[K]) => { + setConfig((prev) => ({ ...prev, [key]: value })) + } + + const selectedModel = MODEL_BY_ID[config.model_id] + const isDmdMode = Boolean(selectedModel?.dmdMode) + const isI2V = config.workload_type === "i2v" || config.workload_type === "ti2v" + + useEffect(() => { + if (typeof window === "undefined" || window.parent === window) return + + let frame = 0 + const timers: number[] = [] + + const sendHeight = () => { + window.cancelAnimationFrame(frame) + frame = window.requestAnimationFrame(() => { + const height = Math.max( + document.body.scrollHeight, + document.body.offsetHeight, + document.documentElement.scrollHeight, + document.documentElement.offsetHeight, + ) + window.parent.postMessage({ type: "adv-tuning-guide-height", height }, "*") + }) + } + + sendHeight() + + const ro = new ResizeObserver(sendHeight) + ro.observe(document.documentElement) + ro.observe(document.body) + + const mo = new MutationObserver(sendHeight) + mo.observe(document.documentElement, { + attributes: true, + childList: true, + characterData: true, + subtree: true, + }) + + window.addEventListener("load", sendHeight) + window.addEventListener("resize", sendHeight) + + for (const delay of [100, 300, 1000]) { + timers.push(window.setTimeout(sendHeight, delay)) + } + + return () => { + window.cancelAnimationFrame(frame) + timers.forEach((timer) => window.clearTimeout(timer)) + window.removeEventListener("load", sendHeight) + window.removeEventListener("resize", sendHeight) + mo.disconnect() + ro.disconnect() + } + }, []) + + return ( +
+ {/*
*/} + +
+ {/* Stats Bar */} +
+
+
+
+ + Video Length + +
+
{hasAvailableModelRuns ? `${videoLength}s` : "N/A"}
+
+
+
+ + Total Pixels + +
+
{hasAvailableModelRuns ? `${(totalPixels / 1000000).toFixed(1)}M` : "N/A"}
+
+
+
+ + Latent Tokens + +
+
{hasAvailableModelRuns ? `${(latentTokens / 1000).toFixed(0)}K` : "N/A"}
+
+
+
+ + Est. Time + +
+ {benchmark ? ( + <> +
+ {benchmark.run.generationSeconds != null ? `${Math.round(benchmark.run.generationSeconds)}s` : "N/A"} +
+ {benchmark.run.generationSeconds != null && ( +
+ {`${benchmark.deviated ? "⚠ " : ""}measured @ ${benchmark.run.steps} steps · ${benchmark.run.width}×${benchmark.run.height} · ${ATTENTION_BY_ID[benchmark.run.attention]?.shortName ?? benchmark.run.attention}`} +
+ )} + + ) : !hasAvailableModelRuns ? ( + <> +
N/A
+ + ) : ( + <> +
—
+
not benchmarked
+ + )} +
+
+
+ +
+ {/* Left Column - Parameters */} +
+
+
+
+ { + const [model, attention] = v.split("::") + setConfig((prev) => ({ ...prev, model_id: model, attention_backend: attention })) + }} + options={ + hasAvailableModelRuns + ? availableModelRuns.map((run) => { + const model = MODEL_BY_ID[run.model] + const backend = ATTENTION_BY_ID[run.attention]?.shortName ?? run.attention + return { + id: `${run.model}::${run.attention}`, + name: `${model.name} (${model.size}, ${backend})`, + } + }) + : [{ id: selectedModelRun, name: "Not suitable" }] + } + disabled={!hasAvailableModelRuns} + tooltip="Only models with a passing benchmark for the selected Workload Type + GPU are listed." + /> +
+ updateConfig("workload_type", v)} + options={workloadOptions.map(w => ({ id: w.id, name: w.name }))} + tooltip="Task category. Determines which pipeline stages run." + /> + updateConfig("gpu", v)} + options={gpuOptions.map(g => ({ id: g.id, name: `${g.name} (${g.vram})` }))} + tooltip="GPU model. Used for benchmark tracking and hardware-aware configuration." + /> + updateConfig("num_gpus", v)} + min={1} + max={8} + tooltip="Values > 1 require use_fsdp_inference = true." + /> +
+
+ +
+
+
+ +
+ {resolutionPresets.map((preset) => ( + + ))} +
+
+
+ updateConfig("height", v)} min={256} max={2160} step={8} unit="px" tooltip="Frame height in pixels. Must be divisible by 8 (VAE requirement)." /> + updateConfig("width", v)} min={256} max={3840} step={8} unit="px" tooltip="Frame width in pixels. Must be divisible by 8." /> +
+
+ +
+ {framePresets.map((preset) => ( + + ))} +
+
+
+ updateConfig("num_frames", v)} min={1} max={240} tooltip="Total number of frames to generate." /> + updateConfig("fps", v)} min={1} max={60} tooltip="Frames per second for the output video. Does NOT affect generation time." /> +
+
+
+ +
+
+
+ +
+ updateConfig("num_inference_steps", Number(e.target.value))} className="h-2 flex-1 cursor-pointer appearance-none rounded-full bg-[var(--section-soft)] accent-[var(--section-color)] [&::-webkit-slider-thumb]:h-4 [&::-webkit-slider-thumb]:w-4 [&::-webkit-slider-thumb]:appearance-none [&::-webkit-slider-thumb]:rounded-full [&::-webkit-slider-thumb]:bg-[var(--section-color)]" /> + {config.num_inference_steps} +
+
+ Draft (10)Balanced (30)High (80) +
+
+
+ +
+ updateConfig("guidance_scale", Number(e.target.value))} className="h-2 flex-1 cursor-pointer appearance-none rounded-full bg-[var(--section-soft)] accent-[var(--section-color)] [&::-webkit-slider-thumb]:h-4 [&::-webkit-slider-thumb]:w-4 [&::-webkit-slider-thumb]:appearance-none [&::-webkit-slider-thumb]:rounded-full [&::-webkit-slider-thumb]:bg-[var(--section-color)]" /> + {config.guidance_scale} +
+
+ Loose (3)Balanced (5)Strict (8+) +
+
+
+ updateConfig("embedded_cfg_scale", v)} min={1} max={10} step={0.5} tooltip="Model-level CFG signal passed into the DiT. Default: 6.0. Rarely change." /> + updateConfig("seed", v)} min={-1} tooltip="Random seed. Set to -1 for random. Fix a seed for reproducibility." /> +
+
+
+ +
+
+
+ +
+ {attentionBackends.map((backend) => ( + + ))} +
+
+ {config.attention_backend === "VIDEO_SPARSE_ATTN" && ( +
+ +
+ updateConfig("VSA_sparsity", Number(e.target.value))} className="h-2 flex-1 cursor-pointer appearance-none rounded-full bg-[var(--section-soft)] accent-[var(--section-color)] [&::-webkit-slider-thumb]:h-4 [&::-webkit-slider-thumb]:w-4 [&::-webkit-slider-thumb]:appearance-none [&::-webkit-slider-thumb]:rounded-full [&::-webkit-slider-thumb]:bg-[var(--section-color)]" /> + {config.VSA_sparsity} +
+
+ )} + {isDmdMode && ( +
+
+ + DMD Mode Available +
+
{selectedModel?.dmdNote}
+
dmd_steps: {config.dmd_denoising_steps}
+
+ )} +
+
+ +
+
+
+
+ Tip: For 24GB VRAM with 14B models, enable dit_cpu_offload + vae_cpu_offload + pin_cpu_memory. +
+
+ updateConfig("dit_cpu_offload", v)} tooltip="Offload entire DiT to RAM. Saves ~4GB, ~2-3x slower." /> + updateConfig("dit_layerwise_offload", v)} tooltip="Layer-by-layer offload. Maximum VRAM saving (~8GB), ~4x slower." /> + updateConfig("vae_cpu_offload", v)} tooltip="Offload VAE decoder. Saves ~2GB. Minimal time penalty." /> + updateConfig("text_encoder_cpu_offload", v)} tooltip="Offload text encoder. Saves ~1-2GB. Runs once at start." /> + updateConfig("image_encoder_cpu_offload", v)} tooltip="I2V/TI2V only. Saves ~1-2GB." disabled={!isI2V} /> + updateConfig("pin_cpu_memory", v)} tooltip="Pins RAM pages for faster PCIe DMA transfers. Always enable with any offload flag." /> + updateConfig("use_fsdp_inference", v)} tooltip="Shards model weights across multiple GPUs via FSDP." disabled={config.num_gpus <= 1} /> +
+
+
+ + {/* Right Column - Output */} +
+
+
+
+
+ + + +

Generated Command

+
+ {hasAvailableModelRuns && ( + + )} +
+
+ {hasAvailableModelRuns ? ( + 
{command}
+ ) : ( +
+
Not suitable
+
+ )} +
+
+ +
+

Quick Reference

+
+
Resolution{hasAvailableModelRuns ? `${config.width}x${config.height}` : "N/A"}
+
Frames{hasAvailableModelRuns ? config.num_frames : "N/A"}
+
Steps{hasAvailableModelRuns ? config.num_inference_steps : "N/A"}
+
Backend{hasAvailableModelRuns ? config.attention_backend : "N/A"}
+
+ Offloading + {hasAvailableModelRuns ? ([config.dit_cpu_offload && "DiT", config.vae_cpu_offload && "VAE"].filter(Boolean).join("+") || "None") : "N/A"} +
+
+
+
+
+
+
+
+ ) +} diff --git a/consumer-guide/app/tuning/page.tsx b/consumer-guide/app/tuning/page.tsx new file mode 100644 index 000000000..7f9c05dde --- /dev/null +++ b/consumer-guide/app/tuning/page.tsx @@ -0,0 +1 @@ +export { default } from "./adv_page" diff --git a/consumer-guide/data/quickstart.json b/consumer-guide/data/quickstart.json new file mode 100644 index 000000000..0f28c30ff --- /dev/null +++ b/consumer-guide/data/quickstart.json @@ -0,0 +1,381 @@ +{ + "defaults": { + "task": "t2v", + "tier": "quick", + "gpu": "5090", + "ramGb": 64, + "numGpus": 1 + }, + "ramOptionsGb": [128, 64, 32], + "gpuCountOptions": [1, 2, 4], + "hardware": [ + { + "id": "4090", + "label": "RTX 4090", + "defaultVramGb": 24, + "vramOptionsGb": [24] + }, + { + "id": "5090", + "label": "RTX 5090", + "defaultVramGb": 32, + "vramOptionsGb": [32] + } + ], + "tasks": [ + { + "id": "t2v", + "label": "Text to Video", + "sub": "T2V", + "icon": "Film" + }, + { + "id": "i2v", + "label": "Image to Video", + "sub": "I2V", + "icon": "Image" + }, + { + "id": "ti2v", + "label": "Text + Image", + "sub": "TI2V", + "icon": "Sparkles" + }, + { + "id": "game", + "label": "Game", + "sub": "Matrix Game", + "icon": "Gamepad2" + } + ], + "tiers": [ + { + "id": "quick", + "name": "Quick Generate", + "desc": "FastVideo model with a benchmarked fast profile.", + "badge": "Recommended" + }, + { + "id": "best", + "name": "High Quality", + "desc": "FastVideo model with a benchmarked quality-oriented profile." + } + ], + "profiles": [ + { + "status": "available", + "gpu": "5090", + "vramGb": 32, + "task": "t2v", + "tier": "quick", + "model": "FastVideo/FastWan2.1-T2V-1.3B-Diffusers", + "modelShort": "FastWan2.1-T2V-1.3B", + "attn": "VIDEO_SPARSE_ATTN", + "h": 480, + "w": 832, + "frames": 81, + "steps": 40, + "cfg": 5, + "fps": 16, + "vramMin": 18, + "ramMin": 64, + "timeSec": 22.91, + "firstRunSec": 139.44, + "vram": "~16.0 GB", + "offload": true, + "ditCpuOffload": true, + "ditLayerwiseOffload": true, + "vaeCpuOffload": true, + "textEncoderCpuOffload": true, + "pinCpuMemory": true + }, + { + "status": "available", + "gpu": "5090", + "vramGb": 32, + "task": "t2v", + "tier": "best", + "model": "FastVideo/FastHunyuan-diffusers", + "modelShort": "FastHunyuan", + "attn": "FLASH_ATTN", + "h": 720, + "w": 1280, + "frames": 81, + "steps": 50, + "cfg": 1, + "fps": 24, + "vramMin": 32, + "ramMin": 64, + "timeSec": 1389.71, + "firstRunSec": 1492.36, + "vram": "~27.1 GB", + "offload": true, + "ditCpuOffload": true, + "ditLayerwiseOffload": true, + "vaeCpuOffload": true, + "textEncoderCpuOffload": true, + "pinCpuMemory": true + }, + { + "status": "available", + "gpu": "5090", + "vramGb": 32, + "task": "ti2v", + "tier": "quick", + "model": "FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers", + "modelShort": "FastWan2.2-TI2V-5B", + "attn": "VIDEO_SPARSE_ATTN", + "h": 480, + "w": 832, + "frames": 81, + "steps": 40, + "cfg": 5, + "fps": 16, + "vramMin": 18, + "ramMin": 64, + "timeSec": 17.39, + "firstRunSec": 116.57, + "vram": "~17.2 GB", + "offload": true, + "ditCpuOffload": true, + "ditLayerwiseOffload": true, + "textEncoderCpuOffload": true, + "pinCpuMemory": true, + "extra": "--image ./input.png" + }, + { + "status": "available", + "gpu": "5090", + "vramGb": 32, + "task": "game", + "tier": "quick", + "model": "FastVideo/Matrix-Game-2.0-Base-Diffusers", + "modelShort": "Matrix-Game-2.0-Base", + "attn": "FLASH_ATTN", + "h": 352, + "w": 640, + "frames": 81, + "steps": 3, + "cfg": 5, + "fps": 16, + "vramMin": 12, + "ramMin": 32, + "timeSec": 12.29, + "firstRunSec": 247.2, + "vram": "~10.4 GB", + "offload": true, + "ditCpuOffload": true, + "ditLayerwiseOffload": true, + "textEncoderCpuOffload": true, + "pinCpuMemory": true, + "keyboardDim": 4, + "extra": "--image ./input.png --action forward" + }, + { + "status": "available", + "gpu": "5090", + "vramGb": 32, + "task": "game", + "tier": "best", + "model": "FastVideo/Matrix-Game-2.0-GTA-Diffusers", + "modelShort": "Matrix-Game-2.0-GTA", + "attn": "FLASH_ATTN", + "h": 352, + "w": 640, + "frames": 81, + "steps": 3, + "cfg": 5, + "fps": 16, + "vramMin": 12, + "ramMin": 32, + "timeSec": 13.03, + "firstRunSec": 212.37, + "vram": "~10.4 GB", + "offload": true, + "ditCpuOffload": true, + "ditLayerwiseOffload": true, + "textEncoderCpuOffload": true, + "pinCpuMemory": true, + "keyboardDim": 2, + "extra": "--image ./input.png --action forward" + }, + { + "status": "available", + "gpu": "5090", + "vramGb": 32, + "task": "ti2v", + "tier": "best", + "model": "Wan-AI/Wan2.2-TI2V-5B-Diffusers", + "modelShort": "Wan2.2-TI2V-5B", + "attn": "FLASH_ATTN", + "h": 480, + "w": 832, + "frames": 81, + "steps": 40, + "cfg": 5, + "fps": 16, + "vramMin": 18, + "ramMin": 64, + "timeSec": 71.01, + "firstRunSec": 223.29, + "vram": "~15.5 GB", + "offload": true, + "ditCpuOffload": true, + "ditLayerwiseOffload": true, + "textEncoderCpuOffload": true, + "pinCpuMemory": true, + "extra": "--image ./input.png" + }, + { + "status": "available", + "gpu": "5090", + "vramGb": 32, + "task": "i2v", + "tier": "best", + "model": "Wan-AI/Wan2.1-I2V-14B-720P-Diffusers", + "modelShort": "Wan2.1-I2V-720P", + "attn": "FLASH_ATTN", + "h": 720, + "w": 1280, + "frames": 81, + "steps": 40, + "cfg": 5, + "fps": 16, + "vramMin": 32, + "ramMin": 64, + "timeSec": 2832.76, + "firstRunSec": 3026.41, + "vram": "~28.9 GB", + "offload": true, + "ditCpuOffload": true, + "vaeCpuOffload": true, + "textEncoderCpuOffload": true, + "pinCpuMemory": true, + "useFsdpInference": true, + "extra": "--image ./input.png" + }, + { + "status": "available", + "gpu": "5090", + "vramGb": 32, + "task": "i2v", + "tier": "quick", + "model": "loayrashid/TurboWan2.2-I2V-A14B-Diffusers", + "modelShort": "TurboWan2.2-I2V-A14B", + "attn": "SLA_ATTN", + "h": 480, + "w": 832, + "frames": 81, + "steps": 4, + "cfg": 1, + "fps": 16, + "vramMin": 32, + "ramMin": 64, + "timeSec": 364, + "vram": "~10.6 GB", + "offload": true, + "ditCpuOffload": true, + "textEncoderCpuOffload": true, + "pinCpuMemory": true, + "useFsdpInference": true, + "extra": "--image ./input.png" + }, + { + "status": "available", + "gpu": "4090", + "vramGb": 24, + "task": "t2v", + "tier": "quick", + "model": "FastVideo/FastWan2.1-T2V-1.3B-Diffusers", + "modelShort": "FastWan2.1-T2V-1.3B", + "attn": "VIDEO_SPARSE_ATTN", + "h": 480, + "w": 832, + "frames": 81, + "steps": 3, + "cfg": 6, + "fps": 16, + "vramMin": 12, + "ramMin": 32, + "timeSec": 32.42, + "vram": "~11.0 GB", + "offload": true, + "ditLayerwiseOffload": true, + "textEncoderCpuOffload": true + }, + { + "status": "available", + "gpu": "4090", + "vramGb": 24, + "task": "ti2v", + "tier": "quick", + "model": "FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers", + "modelShort": "FastWan2.2-TI2V-5B", + "attn": "FLASH_ATTN", + "h": 480, + "w": 832, + "frames": 81, + "steps": 3, + "cfg": 6, + "fps": 16, + "vramMin": 12, + "ramMin": 64, + "timeSec": 17.81, + "vram": "~10.8 GB", + "offload": true, + "ditLayerwiseOffload": true, + "textEncoderCpuOffload": true, + "extra": "--image ./input.png" + }, + { + "status": "available", + "gpu": "4090", + "vramGb": 24, + "task": "game", + "tier": "quick", + "model": "FastVideo/Matrix-Game-2.0-Base-Diffusers", + "modelShort": "Matrix-Game-2.0-Base", + "attn": "FLASH_ATTN", + "h": 480, + "w": 832, + "frames": 81, + "steps": 3, + "cfg": 6, + "fps": 16, + "vramMin": 12, + "ramMin": 32, + "timeSec": 23.81, + "vram": "~11.2 GB", + "offload": true, + "ditLayerwiseOffload": true, + "textEncoderCpuOffload": true, + "keyboardDim": 4, + "extra": "--image ./input.png --action forward" + }, + { + "status": "available", + "gpu": "4090", + "vramGb": 24, + "task": "game", + "tier": "best", + "model": "FastVideo/Matrix-Game-2.0-GTA-Diffusers", + "modelShort": "Matrix-Game-2.0-GTA", + "attn": "FLASH_ATTN", + "h": 480, + "w": 832, + "frames": 81, + "steps": 3, + "cfg": 6, + "fps": 16, + "vramMin": 12, + "ramMin": 32, + "timeSec": 24.24, + "vram": "~11.2 GB", + "offload": true, + "ditLayerwiseOffload": true, + "textEncoderCpuOffload": true, + "keyboardDim": 2, + "extra": "--image ./input.png --action forward" + } + ] +} diff --git a/consumer-guide/data/tuning.json b/consumer-guide/data/tuning.json new file mode 100644 index 000000000..ed2652ab2 --- /dev/null +++ b/consumer-guide/data/tuning.json @@ -0,0 +1,103 @@ +{ + "_comment": "Single data source for the Advanced Tuning page (app/tuning/adv_page.tsx). Each benchmark run is one real measured configuration. The page filters by workload + GPU and never estimates benchmark values.", + "defaults": { + "model_id": "FastVideo/FastWan2.1-T2V-1.3B-Diffusers", + "workload_type": "t2v", + "gpu": "rtx5090", + "num_gpus": 1, + "height": 480, + "width": 832, + "num_frames": 81, + "fps": 24, + "num_inference_steps": 40, + "guidance_scale": 5, + "embedded_cfg_scale": 6, + "flow_shift": null, + "seed": -1, + "attention_backend": "VIDEO_SPARSE_ATTN", + "VSA_sparsity": 0, + "dmd_denoising_steps": "1000,757,522", + "dit_cpu_offload": false, + "dit_layerwise_offload": false, + "vae_cpu_offload": false, + "text_encoder_cpu_offload": false, + "image_encoder_cpu_offload": false, + "pin_cpu_memory": false, + "use_fsdp_inference": false + }, + "workloads": [ + { "id": "t2v", "name": "Text to Video", "icon": "Film" }, + { "id": "i2v", "name": "Image to Video", "icon": "Sparkles" }, + { "id": "ti2v", "name": "Text+Image to Video", "icon": "Layers" }, + { "id": "game", "name": "Game", "icon": "Zap" } + ], + "gpus": [ + { "id": "rtx4090", "name": "RTX 4090", "vram": "24GB" }, + { "id": "rtx5090", "name": "RTX 5090", "vram": "32GB" } + ], + "resolutionPresets": [ + { "height": 480, "width": 832, "label": "480p (832x480)" }, + { "height": 720, "width": 1280, "label": "720p (1280x720)" }, + { "height": 1080, "width": 1920, "label": "1080p (1920x1080)" } + ], + "framePresets": [ + { "frames": 49, "label": "49 frames (~2s @24fps)" }, + { "frames": 81, "label": "81 frames (~3.4s @24fps)" }, + { "frames": 121, "label": "121 frames (~5s @24fps)" } + ], + "attentionBackends": [ + { "id": "FLASH_ATTN", "name": "Flash Attention", "shortName": "Flash", "desc": "Best quality-speed trade-off", "speed": "Baseline" }, + { "id": "VIDEO_SPARSE_ATTN", "name": "Video Sparse Attention", "shortName": "VSA", "desc": "~30% faster, minimal quality loss", "speed": "Fast" }, + { "id": "SAGE_ATTN", "name": "Sage Attention", "shortName": "SAGE", "desc": "~40% faster, visible at high motion", "speed": "Faster" }, + { "id": "SLA_ATTN", "name": "Sparse-Linear Attention", "shortName": "SLA", "desc": "Requires SLA-tuned model checkpoint", "speed": "Fast" } + ], + "models": [ + { "id": "FastVideo/FastWan2.1-T2V-1.3B-Diffusers", "name": "FastWan2.1 T2V", "size": "1.3B", "workload": "t2v", "dmdMode": true, "dmdNote": "FastWan DMD uses 3-step distillation for faster generation." }, + { "id": "FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers", "name": "FastWan2.2 TI2V FullAttn", "size": "5B", "workload": "ti2v", "dmdMode": true, "dmdNote": "FastWan DMD uses 3-step distillation for faster generation." }, + { "id": "Wan-AI/Wan2.2-TI2V-5B-Diffusers", "name": "Wan2.2 TI2V", "size": "5B", "workload": "ti2v" }, + { "id": "Wan-AI/Wan2.2-T2V-A14B-Diffusers", "name": "Wan2.2 T2V", "size": "A14B", "workload": "t2v" }, + { "id": "Wan-AI/Wan2.2-I2V-A14B-Diffusers", "name": "Wan2.2 I2V", "size": "A14B", "workload": "i2v" }, + { "id": "hunyuanvideo-community/HunyuanVideo", "name": "HunyuanVideo", "size": "13B", "workload": "t2v" }, + { "id": "FastVideo/FastHunyuan-diffusers", "name": "FastHunyuan", "size": "13B", "workload": "t2v" }, + { "id": "Wan-AI/Wan2.1-T2V-1.3B-Diffusers", "name": "Wan2.1 T2V", "size": "1.3B", "workload": "t2v" }, + { "id": "Wan-AI/Wan2.1-T2V-14B-Diffusers", "name": "Wan2.1 T2V", "size": "14B", "workload": "t2v" }, + { "id": "Wan-AI/Wan2.1-I2V-14B-480P-Diffusers", "name": "Wan2.1 I2V 480P", "size": "14B", "workload": "i2v" }, + { "id": "Wan-AI/Wan2.1-I2V-14B-720P-Diffusers", "name": "Wan2.1 I2V 720P", "size": "14B", "workload": "i2v" }, + { "id": "loayrashid/TurboWan2.1-T2V-1.3B-Diffusers", "name": "TurboWan2.1 T2V", "size": "1.3B", "workload": "t2v" }, + { "id": "loayrashid/TurboWan2.1-T2V-14B-Diffusers", "name": "TurboWan2.1 T2V", "size": "14B", "workload": "t2v" }, + { "id": "loayrashid/TurboWan2.2-I2V-A14B-Diffusers", "name": "TurboWan2.2 I2V", "size": "A14B", "workload": "i2v" }, + { "id": "FastVideo/LongCat-Video-T2V-Diffusers", "name": "LongCat T2V", "size": "13.6B", "workload": "t2v" }, + { "id": "FastVideo/Matrix-Game-2.0-Base-Diffusers", "name": "Matrix Game 2.0 Base", "size": "1.3B", "workload": "game", "keyboardDim": 4 }, + { "id": "FastVideo/Matrix-Game-2.0-GTA-Diffusers", "name": "Matrix Game 2.0 GTA", "size": "1.3B", "workload": "game", "keyboardDim": 2 }, + { "id": "FastVideo/Matrix-Game-2.0-TempleRun-Diffusers", "name": "Matrix Game 2.0 TempleRun", "size": "1.3B", "workload": "game", "keyboardDim": 7 } + ], + "runs": [ + { "model": "FastVideo/FastWan2.1-T2V-1.3B-Diffusers", "gpu": "rtx5090", "height": 480, "width": 832, "frames": 81, "steps": 40, "attention": "VIDEO_SPARSE_ATTN", "generationSeconds": 22.91, "runtimeSeconds": 139.44 }, + { "model": "FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers", "gpu": "rtx5090", "height": 480, "width": 832, "frames": 81, "steps": 40, "attention": "VIDEO_SPARSE_ATTN", "generationSeconds": 17.39, "runtimeSeconds": 116.57 }, + { "model": "Wan-AI/Wan2.2-TI2V-5B-Diffusers", "gpu": "rtx5090", "height": 480, "width": 832, "frames": 81, "steps": 40, "attention": "FLASH_ATTN", "generationSeconds": 71.01, "runtimeSeconds": 223.29 }, + { "model": "Wan-AI/Wan2.2-T2V-A14B-Diffusers", "gpu": "rtx5090", "height": 480, "width": 832, "frames": 81, "steps": 40, "attention": "FLASH_ATTN", "generationSeconds": 782.09, "runtimeSeconds": 1144.85 }, + { "model": "Wan-AI/Wan2.2-I2V-A14B-Diffusers", "gpu": "rtx5090", "height": 480, "width": 832, "frames": 81, "steps": 40, "attention": "FLASH_ATTN", "generationSeconds": 827.48, "runtimeSeconds": 1169.64 }, + { "model": "hunyuanvideo-community/HunyuanVideo", "gpu": "rtx5090", "height": 480, "width": 832, "frames": 81, "steps": 40, "attention": "FLASH_ATTN", "generationSeconds": 575.39, "runtimeSeconds": 713.74 }, + { "model": "FastVideo/FastHunyuan-diffusers", "gpu": "rtx5090", "height": 720, "width": 1280, "frames": 81, "steps": 50, "attention": "FLASH_ATTN", "generationSeconds": 1389.71, "runtimeSeconds": 1492.36 }, + { "model": 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+ ] +} diff --git a/consumer-guide/next.config.mjs b/consumer-guide/next.config.mjs new file mode 100644 index 000000000..ecc16aad3 --- /dev/null +++ b/consumer-guide/next.config.mjs @@ -0,0 +1,17 @@ +/** @type {import('next').NextConfig} */ +const basePath = process.env.NEXT_BASE_PATH || "/config-generator" + +const nextConfig = { + output: "export", + trailingSlash: true, + basePath, + assetPrefix: basePath, + typescript: { + ignoreBuildErrors: true, + }, + images: { + unoptimized: true, + }, +} + +export default nextConfig diff --git a/consumer-guide/package.json b/consumer-guide/package.json new file mode 100644 index 000000000..d5945fab9 --- /dev/null +++ b/consumer-guide/package.json @@ -0,0 +1,26 @@ +{ + "name": "fastvideo-config-generator", + "version": "0.1.0", + "private": true, + "packageManager": "pnpm@10.28.0", + "scripts": { + "dev": "next dev -p 3003", + "build": "next build" + }, + "dependencies": { + "lucide-react": "^0.564.0", + "next": "16.2.4", + "react": "^19", + 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--- /dev/null +++ b/consumer-guide/postcss.config.mjs @@ -0,0 +1,8 @@ +/** @type {import('postcss-load-config').Config} */ +const config = { + plugins: { + '@tailwindcss/postcss': {}, + }, +} + +export default config diff --git a/consumer-guide/tsconfig.json b/consumer-guide/tsconfig.json new file mode 100644 index 000000000..48d6d8209 --- /dev/null +++ b/consumer-guide/tsconfig.json @@ -0,0 +1,41 @@ +{ + "compilerOptions": { + "lib": [ + "dom", + "dom.iterable", + "esnext" + ], + "allowJs": true, + "target": "ES6", + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": [ + "./*" + ] + } + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + ".next/dev/types/**/*.ts" + ], + "exclude": [ + "node_modules" + ] +} diff --git a/docs/README.md b/docs/README.md index 134d9270e..f2e22e853 100644 --- a/docs/README.md +++ b/docs/README.md @@ -2,6 +2,12 @@ This directory contains the FastVideo documentation built with MkDocs. +The Quick Start and Advanced Tuning pages embed an interactive **config +generator** — a separate Next.js app in [`consumer-guide/`](../consumer-guide/) +that is built independently and copied into the docs site under +`/config-generator/`. To work on that app itself, see +[`consumer-guide/README.md`](../consumer-guide/README.md). + ## Build the docs locally ```bash @@ -25,10 +31,29 @@ mkdocs serve Then open your browser to: http://127.0.0.1:8000 -### Static build +> **Note:** `mkdocs serve` only builds the docs. The embedded config generator +> is **not** built, so its iframe on the Quick Start / Advanced Tuning pages +> shows a 404. This is expected — use "Full local preview" below to see it. + +### Full local preview (docs + config generator) + +To preview exactly what gets deployed, replicate the CI build: ```bash +# 1. Build the docs mkdocs build + +# 2. Build the config generator +cd consumer-guide +pnpm install +NEXT_BASE_PATH=/config-generator pnpm build +cd .. + +# 3. Copy it into the docs site +mkdir -p site/config-generator +cp -R consumer-guide/out/. site/config-generator/ + +# 4. Serve the merged site python -m http.server -d site/ ``` @@ -36,7 +61,10 @@ Then open your browser to: http://localhost:8000 ## Automatic Deployment -Documentation is automatically built and deployed to GitHub Pages when changes are pushed to the `main` branch via the `.github/workflows/infra-docs.yml` workflow. +Documentation is automatically built and deployed to GitHub Pages when changes +are pushed to the `main` branch via the `.github/workflows/infra-docs.yml` +workflow. The same workflow also builds the config generator and copies it into +the deployed site. ## Update documentation dependencies diff --git a/docs/assets/custom.css b/docs/assets/custom.css index 0e6bdff4d..f79d337d4 100644 --- a/docs/assets/custom.css +++ b/docs/assets/custom.css @@ -87,8 +87,7 @@ img { .quick-start-guide-frame { width: 100%; - height: 1205px; - min-height: 1205px; + height: 1205px; /* fallback before postMessage adjusts to actual content height */ border: 0; display: block; background: #fff; diff --git a/docs/config-generator/404.html b/docs/config-generator/404.html deleted file mode 100644 index bade01f6a..000000000 --- a/docs/config-generator/404.html +++ /dev/null @@ -1 +0,0 @@ -404: This page could not be found.FastVideo Config Generator

404

This page could not be found.

\ No newline at end of file diff --git a/docs/config-generator/404/index.html b/docs/config-generator/404/index.html deleted file mode 100644 index bade01f6a..000000000 --- a/docs/config-generator/404/index.html +++ /dev/null @@ -1 +0,0 @@ -404: This page could not be found.FastVideo Config Generator

404

This page could not be found.

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[role=radio]){margin-top:1px}}.\[\&\>a\]\:underline>a{text-decoration-line:underline}.\[\&\>a\]\:underline-offset-4>a{text-underline-offset:4px}.\[\&\>a\:hover\]\:text-primary>a:hover{color:var(--primary)}.\[\&\>button\]\:hidden>button{display:none}.\[\&\>input\]\:flex-1>input{flex:1}.has-\[\>\[data-align\=block-end\]\]\:\[\&\>input\]\:pt-3:has(>[data-align=block-end])>input{padding-top:calc(var(--spacing) * 3)}.has-\[\>\[data-align\=block-start\]\]\:\[\&\>input\]\:pb-3:has(>[data-align=block-start])>input{padding-bottom:calc(var(--spacing) * 3)}.has-\[\>\[data-align\=inline-end\]\]\:\[\&\>input\]\:pr-2:has(>[data-align=inline-end])>input{padding-right:calc(var(--spacing) * 2)}.has-\[\>\[data-align\=inline-start\]\]\:\[\&\>input\]\:pl-2:has(>[data-align=inline-start])>input{padding-left:calc(var(--spacing) * 2)}.\[\&\>kbd\]\:rounded-\[calc\(var\(--radius\)-5px\)\]>kbd{border-radius:calc(var(--radius) - 5px)}.\[\&\>span\]\:text-xs>span{font-size:var(--text-xs);line-height:var(--tw-leading,var(--text-xs--line-height))}.\[\&\>span\]\:opacity-70>span{opacity:.7}.\[\&\>span\:last-child\]\:truncate>span:last-child{text-overflow:ellipsis;white-space:nowrap;overflow:hidden}.\[\&\>svg\]\:pointer-events-none>svg{pointer-events:none}.\[\&\>svg\]\:size-3>svg{width:calc(var(--spacing) * 3);height:calc(var(--spacing) * 3)}.\[\&\>svg\]\:size-3\.5>svg{width:calc(var(--spacing) * 3.5);height:calc(var(--spacing) * 3.5)}.\[\&\>svg\]\:size-4>svg{width:calc(var(--spacing) * 4);height:calc(var(--spacing) * 4)}.\[\&\>svg\]\:h-2\.5>svg{height:calc(var(--spacing) * 2.5)}.\[\&\>svg\]\:h-3>svg{height:calc(var(--spacing) * 3)}.\[\&\>svg\]\:w-2\.5>svg{width:calc(var(--spacing) * 2.5)}.\[\&\>svg\]\:w-3>svg{width:calc(var(--spacing) * 3)}.\[\&\>svg\]\:shrink-0>svg{flex-shrink:0}.\[\&\>svg\]\:translate-y-0\.5>svg{--tw-translate-y:calc(var(--spacing) * .5);translate:var(--tw-translate-x) var(--tw-translate-y)}.\[\&\>svg\]\:text-current>svg{color:currentColor}.\[\&\>svg\]\:text-muted-foreground>svg{color:var(--muted-foreground)}.\[\&\>svg\]\:text-sidebar-accent-foreground>svg{color:var(--sidebar-accent-foreground)}.\[\&\>svg\:not\(\[class\*\=\'size-\'\]\)\]\:size-3\.5>svg:not([class*=size-]){width:calc(var(--spacing) * 3.5);height:calc(var(--spacing) * 3.5)}.\[\&\>svg\:not\(\[class\*\=\'size-\'\]\)\]\:size-4>svg:not([class*=size-]){width:calc(var(--spacing) * 4);height:calc(var(--spacing) * 4)}.\[\&\>tr\]\:last\:border-b-0>tr:last-child{border-bottom-style:var(--tw-border-style);border-bottom-width:0}.\[\&\[data-panel-group-direction\=vertical\]\>div\]\:rotate-90[data-panel-group-direction=vertical]>div{rotate:90deg}.\[\&\[data-state\=open\]\>svg\]\:rotate-180[data-state=open]>svg{rotate:180deg}[data-side=left][data-collapsible=offcanvas] .\[\[data-side\=left\]\[data-collapsible\=offcanvas\]_\&\]\:-right-2{right:calc(var(--spacing) * -2)}[data-side=left][data-state=collapsed] .\[\[data-side\=left\]\[data-state\=collapsed\]_\&\]\:cursor-e-resize{cursor:e-resize}[data-side=right][data-collapsible=offcanvas] .\[\[data-side\=right\]\[data-collapsible\=offcanvas\]_\&\]\:-left-2{left:calc(var(--spacing) * -2)}[data-side=right][data-state=collapsed] .\[\[data-side\=right\]\[data-state\=collapsed\]_\&\]\:cursor-w-resize{cursor:w-resize}[data-slot=card-content] .\[\[data-slot\=card-content\]_\&\]\:bg-transparent,[data-slot=popover-content] .\[\[data-slot\=popover-content\]_\&\]\:bg-transparent{background-color:#0000}[data-slot=tooltip-content] .\[\[data-slot\=tooltip-content\]_\&\]\:bg-background\/20{background-color:var(--background)}@supports (color:color-mix(in lab, red, red)){[data-slot=tooltip-content] .\[\[data-slot\=tooltip-content\]_\&\]\:bg-background\/20{background-color:color-mix(in oklab, var(--background) 20%, transparent)}}[data-slot=tooltip-content] .\[\[data-slot\=tooltip-content\]_\&\]\:text-background{color:var(--background)}[data-slot=tooltip-content] .dark\:\[\[data-slot\=tooltip-content\]_\&\]\:bg-background\/10:is(.dark *){background-color:var(--background)}@supports (color:color-mix(in lab, red, red)){[data-slot=tooltip-content] .dark\:\[\[data-slot\=tooltip-content\]_\&\]\:bg-background\/10:is(.dark *){background-color:color-mix(in oklab, var(--background) 10%, transparent)}}[data-variant=legend]+.\[\[data-variant\=legend\]\+\&\]\:-mt-1\.5{margin-top:calc(var(--spacing) * -1.5)}a.\[a\&\]\:transition-colors{transition-property:color,background-color,border-color,outline-color,text-decoration-color,fill,stroke,--tw-gradient-from,--tw-gradient-via,--tw-gradient-to;transition-timing-function:var(--tw-ease,var(--default-transition-timing-function));transition-duration:var(--tw-duration,var(--default-transition-duration))}@media (hover:hover){a.\[a\&\]\:hover\:bg-accent:hover,a.\[a\&\]\:hover\:bg-accent\/50:hover{background-color:var(--accent)}@supports (color:color-mix(in lab, red, red)){a.\[a\&\]\:hover\:bg-accent\/50:hover{background-color:color-mix(in oklab, var(--accent) 50%, transparent)}}a.\[a\&\]\:hover\:bg-destructive\/90:hover{background-color:var(--destructive)}@supports (color:color-mix(in lab, red, red)){a.\[a\&\]\:hover\:bg-destructive\/90:hover{background-color:color-mix(in oklab, var(--destructive) 90%, transparent)}}a.\[a\&\]\:hover\:bg-primary\/90:hover{background-color:var(--primary)}@supports (color:color-mix(in lab, red, red)){a.\[a\&\]\:hover\:bg-primary\/90:hover{background-color:color-mix(in oklab, var(--primary) 90%, transparent)}}a.\[a\&\]\:hover\:bg-secondary\/90:hover{background-color:var(--secondary)}@supports (color:color-mix(in lab, red, red)){a.\[a\&\]\:hover\:bg-secondary\/90:hover{background-color:color-mix(in oklab, var(--secondary) 90%, transparent)}}a.\[a\&\]\:hover\:text-accent-foreground:hover{color:var(--accent-foreground)}}}@property --tw-animation-delay{syntax:"*";inherits:false;initial-value:0s}@property --tw-animation-direction{syntax:"*";inherits:false;initial-value:normal}@property --tw-animation-duration{syntax:"*";inherits:false}@property --tw-animation-fill-mode{syntax:"*";inherits:false;initial-value:forwards}@property --tw-animation-iteration-count{syntax:"*";inherits:false;initial-value:1}@property --tw-enter-opacity{syntax:"*";inherits:false;initial-value:1}@property --tw-enter-rotate{syntax:"*";inherits:false;initial-value:0}@property --tw-enter-scale{syntax:"*";inherits:false;initial-value:1}@property --tw-enter-translate-x{syntax:"*";inherits:false;initial-value:0}@property --tw-enter-translate-y{syntax:"*";inherits:false;initial-value:0}@property --tw-exit-opacity{syntax:"*";inherits:false;initial-value:1}@property --tw-exit-rotate{syntax:"*";inherits:false;initial-value:0}@property --tw-exit-scale{syntax:"*";inherits:false;initial-value:1}@property --tw-exit-translate-x{syntax:"*";inherits:false;initial-value:0}@property --tw-exit-translate-y{syntax:"*";inherits:false;initial-value:0}:root{--background:#fafafa;--foreground:#0a0a0a;--card:#fff;--card-foreground:#0a0a0a;--popover:#fff;--popover-foreground:#0a0a0a;--primary:#336cfa;--primary-foreground:#fff;--secondary:#e1ecff;--secondary-foreground:#133796;--muted:#eef2f9;--muted-foreground:#737373;--accent:#dce8ff;--accent-foreground:#133796;--destructive:#e40014;--destructive-foreground:#e40014;--border:#e5e5e5;--input:#e5e5e5;--ring:#336cfa;--chart-1:#f05100;--chart-2:#009588;--chart-3:#104e64;--chart-4:#fcbb00;--chart-5:#f99c00;--radius:.625rem;--sidebar:#fafafa;--sidebar-foreground:#0a0a0a;--sidebar-primary:#336cfa;--sidebar-primary-foreground:#fff;--sidebar-accent:#dce8ff;--sidebar-accent-foreground:#133796;--sidebar-border:#e5e5e5;--sidebar-ring:#a1a1a1}@supports (color:lab(0% 0 0)){:root{--background:lab(98.26% 0 0);--foreground:lab(2.75381% 0 0);--card:lab(100% 0 0);--card-foreground:lab(2.75381% 0 0);--popover:lab(100% 0 0);--popover-foreground:lab(2.75381% 0 0);--primary:lab(48.6756% 21.5684 -77.4908);--primary-foreground:lab(100% 0 0);--secondary:lab(92.9049% -.658602 -11.2068);--secondary-foreground:lab(26.0107% 18.1812 -56.3191);--muted:lab(95.3187% -.284493 -3.76985);--muted-foreground:lab(48.496% 0 0);--accent:lab(91.6921% -.74175 -14.8784);--accent-foreground:lab(26.0107% 18.1812 -56.3191);--destructive:lab(48.4493% 77.4328 61.5452);--destructive-foreground:lab(48.4493% 77.4328 61.5452);--border:lab(90.952% 0 -.0000119209);--input:lab(90.952% 0 -.0000119209);--ring:lab(48.6756% 21.5684 -77.4908);--chart-1:lab(57.1026% 64.2584 89.8886);--chart-2:lab(55.0223% -41.0774 -3.90277);--chart-3:lab(30.372% -13.1853 -18.7887);--chart-4:lab(80.1641% 16.6016 99.2089);--chart-5:lab(72.7183% 31.8672 97.9407);--sidebar:lab(98.26% 0 0);--sidebar-foreground:lab(2.75381% 0 0);--sidebar-primary:lab(48.6756% 21.5684 -77.4908);--sidebar-primary-foreground:lab(100% 0 0);--sidebar-accent:lab(91.6921% -.74175 -14.8784);--sidebar-accent-foreground:lab(26.0107% 18.1812 -56.3191);--sidebar-border:lab(90.952% 0 -.0000119209);--sidebar-ring:lab(66.128% -.0000298023 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0);--primary-foreground:lab(7.78201% -.0000149012 0);--secondary:lab(15.204% 0 -.00000596046);--secondary-foreground:lab(98.26% 0 0);--muted:lab(15.204% 0 -.00000596046);--muted-foreground:lab(66.128% -.0000298023 .0000119209);--accent:lab(15.204% 0 -.00000596046);--accent-foreground:lab(98.26% 0 0);--destructive:lab(28.5139% 44.5539 29.0463);--destructive-foreground:lab(55.4814% 75.0732 48.8528);--border:lab(15.204% 0 -.00000596046);--input:lab(15.204% 0 -.00000596046);--ring:lab(34.924% 0 0);--chart-1:lab(36.9089% 35.0961 -85.6872);--chart-2:lab(66.9756% -58.27 19.5419);--chart-3:lab(72.7183% 31.8672 97.9407);--chart-4:lab(52.0183% 66.11 -78.2316);--chart-5:lab(56.101% 79.4328 31.4532);--sidebar:lab(7.78201% -.0000149012 0);--sidebar-foreground:lab(98.26% 0 0);--sidebar-primary:lab(36.9089% 35.0961 -85.6872);--sidebar-primary-foreground:lab(98.26% 0 0);--sidebar-accent:lab(15.204% 0 -.00000596046);--sidebar-accent-foreground:lab(98.26% 0 0);--sidebar-border:lab(15.204% 0 -.00000596046);--sidebar-ring:lab(34.924% 0 0)}}@property --tw-translate-x{syntax:"*";inherits:false;initial-value:0}@property --tw-translate-y{syntax:"*";inherits:false;initial-value:0}@property --tw-translate-z{syntax:"*";inherits:false;initial-value:0}@property --tw-rotate-x{syntax:"*";inherits:false}@property --tw-rotate-y{syntax:"*";inherits:false}@property --tw-rotate-z{syntax:"*";inherits:false}@property --tw-skew-x{syntax:"*";inherits:false}@property --tw-skew-y{syntax:"*";inherits:false}@property --tw-space-y-reverse{syntax:"*";inherits:false;initial-value:0}@property --tw-space-x-reverse{syntax:"*";inherits:false;initial-value:0}@property --tw-divide-x-reverse{syntax:"*";inherits:false;initial-value:0}@property --tw-border-style{syntax:"*";inherits:false;initial-value:solid}@property --tw-gradient-position{syntax:"*";inherits:false}@property --tw-gradient-from{syntax:"";inherits:false;initial-value:#0000}@property --tw-gradient-via{syntax:"";inherits:false;initial-value:#0000}@property --tw-gradient-to{syntax:"";inherits:false;initial-value:#0000}@property --tw-gradient-stops{syntax:"*";inherits:false}@property --tw-gradient-via-stops{syntax:"*";inherits:false}@property --tw-gradient-from-position{syntax:"";inherits:false;initial-value:0%}@property --tw-gradient-via-position{syntax:"";inherits:false;initial-value:50%}@property --tw-gradient-to-position{syntax:"";inherits:false;initial-value:100%}@property --tw-leading{syntax:"*";inherits:false}@property --tw-font-weight{syntax:"*";inherits:false}@property --tw-tracking{syntax:"*";inherits:false}@property --tw-ordinal{syntax:"*";inherits:false}@property --tw-slashed-zero{syntax:"*";inherits:false}@property --tw-numeric-figure{syntax:"*";inherits:false}@property --tw-numeric-spacing{syntax:"*";inherits:false}@property --tw-numeric-fraction{syntax:"*";inherits:false}@property --tw-shadow{syntax:"*";inherits:false;initial-value:0 0 #0000}@property --tw-shadow-color{syntax:"*";inherits:false}@property --tw-shadow-alpha{syntax:"";inherits:false;initial-value:100%}@property --tw-inset-shadow{syntax:"*";inherits:false;initial-value:0 0 #0000}@property --tw-inset-shadow-color{syntax:"*";inherits:false}@property --tw-inset-shadow-alpha{syntax:"";inherits:false;initial-value:100%}@property --tw-ring-color{syntax:"*";inherits:false}@property --tw-ring-shadow{syntax:"*";inherits:false;initial-value:0 0 #0000}@property --tw-inset-ring-color{syntax:"*";inherits:false}@property --tw-inset-ring-shadow{syntax:"*";inherits:false;initial-value:0 0 #0000}@property --tw-ring-inset{syntax:"*";inherits:false}@property --tw-ring-offset-width{syntax:"";inherits:false;initial-value:0}@property --tw-ring-offset-color{syntax:"*";inherits:false;initial-value:#fff}@property --tw-ring-offset-shadow{syntax:"*";inherits:false;initial-value:0 0 #0000}@property --tw-outline-style{syntax:"*";inherits:false;initial-value:solid}@property --tw-blur{syntax:"*";inherits:false}@property --tw-brightness{syntax:"*";inherits:false}@property --tw-contrast{syntax:"*";inherits:false}@property --tw-grayscale{syntax:"*";inherits:false}@property --tw-hue-rotate{syntax:"*";inherits:false}@property --tw-invert{syntax:"*";inherits:false}@property --tw-opacity{syntax:"*";inherits:false}@property --tw-saturate{syntax:"*";inherits:false}@property --tw-sepia{syntax:"*";inherits:false}@property --tw-drop-shadow{syntax:"*";inherits:false}@property --tw-drop-shadow-color{syntax:"*";inherits:false}@property --tw-drop-shadow-alpha{syntax:"";inherits:false;initial-value:100%}@property --tw-drop-shadow-size{syntax:"*";inherits:false}@property --tw-backdrop-blur{syntax:"*";inherits:false}@property --tw-backdrop-brightness{syntax:"*";inherits:false}@property --tw-backdrop-contrast{syntax:"*";inherits:false}@property --tw-backdrop-grayscale{syntax:"*";inherits:false}@property --tw-backdrop-hue-rotate{syntax:"*";inherits:false}@property --tw-backdrop-invert{syntax:"*";inherits:false}@property --tw-backdrop-opacity{syntax:"*";inherits:false}@property --tw-backdrop-saturate{syntax:"*";inherits:false}@property --tw-backdrop-sepia{syntax:"*";inherits:false}@property --tw-duration{syntax:"*";inherits:false}@property --tw-ease{syntax:"*";inherits:false}@property --tw-content{syntax:"*";inherits:false;initial-value:""}@keyframes spin{to{transform:rotate(360deg)}}@keyframes pulse{50%{opacity:.5}}@keyframes enter{0%{opacity:var(--tw-enter-opacity,1);transform:translate3d(var(--tw-enter-translate-x,0),var(--tw-enter-translate-y,0),0)scale3d(var(--tw-enter-scale,1),var(--tw-enter-scale,1),var(--tw-enter-scale,1))rotate(var(--tw-enter-rotate,0))}}@keyframes exit{to{opacity:var(--tw-exit-opacity,1);transform:translate3d(var(--tw-exit-translate-x,0),var(--tw-exit-translate-y,0),0)scale3d(var(--tw-exit-scale,1),var(--tw-exit-scale,1),var(--tw-exit-scale,1))rotate(var(--tw-exit-rotate,0))}}@keyframes 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z4zXsr)0H!>1p~EY2(1^OkZ~)?YytW;_{~bUETFpOh8HjG3vEa(IdiR-NFnD=lH0PR iCcCq>@qmWA5fFYdkYcQ8MQ;3?we9}ou*f$70002X_XKeO diff --git a/docs/config-generator/_not-found/index.html b/docs/config-generator/_not-found/index.html deleted file mode 100644 index bade01f6a..000000000 --- a/docs/config-generator/_not-found/index.html +++ /dev/null @@ -1 +0,0 @@ -404: This page could not be found.FastVideo Config Generator

404

This page could not be found.

\ No newline at end of file diff --git a/docs/config-generator/index.html b/docs/config-generator/index.html deleted file mode 100644 index 4fe0d62db..000000000 --- a/docs/config-generator/index.html +++ /dev/null @@ -1,35 +0,0 @@ -FastVideo Config Generator
1

What do you want to make?

2

Your machine specs

GPU Model
VRAM (GB)
RAM (GB)
Number of GPUs
3

Output mode

Your configuration

Model
FastWan2.1-T2V-1.3B
Est. Generation Time
~60 s
Peak VRAM
~10 GB
# Install once:
-#   pip install fastvideo
-
-cat > fastvideo-generate.yaml <<'YAML'
-generator:
-  model_path: FastVideo/FastWan2.1-T2V-1.3B-Diffusers
-  engine:
-    num_gpus: 1
-    offload:
-      dit: false
-      dit_layerwise: false
-      text_encoder: false
-      image_encoder: false
-      vae: false
-      pin_cpu_memory: false
-  pipeline:
-    workload_type: t2v
-
-request:
-  prompt: "your prompt here"
-  sampling:
-    height: 480
-    width: 832
-    fps: 24
-    seed: 42
-    num_frames: 49
-    num_inference_steps: 20
-    guidance_scale: 5.0
-  output:
-    output_path: outputs/
-    save_video: true
-YAML
-
-FASTVIDEO_ATTENTION_BACKEND=VIDEO_SPARSE_ATTN \
-  fastvideo generate --config fastvideo-generate.yaml
\ No newline at end of file diff --git a/docs/config-generator/tuning/index.html b/docs/config-generator/tuning/index.html deleted file mode 100644 index f782ddd67..000000000 --- a/docs/config-generator/tuning/index.html +++ /dev/null @@ -1,29 +0,0 @@ -FastVideo Config Generator
Video Length
2.0s
Est. Time
~60s
Total Pixels
19.6M
Workload Index
0.59G
px
px
30
Draft (10)Balanced (30)High (80)
5
Loose (3)Balanced (5)Strict (8+)
DMD Mode Available
FastWan DMD uses 3-step distillation for ~10x faster generation.
dmd_steps: 1000,757,522
Tip: For 24GB VRAM with 14B models, enable dit_cpu_offload + vae_cpu_offload + pin_cpu_memory.

Generated Command

# Install once:
-#   pip install fastvideo
-
-# Save this file as run.py and run:
-#   python run.py
-import os
-from fastvideo import VideoGenerator, SamplingParam
-
-os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "FLASH_ATTN"
-
-generator = VideoGenerator.from_pretrained(
-    "FastVideo/FastWan2.1-T2V-1.3B-Diffusers",
-    num_gpus=1,
-)
-
-param = SamplingParam.from_pretrained("FastVideo/FastWan2.1-T2V-1.3B-Diffusers")
-param.height = 480
-param.width = 832
-param.num_frames = 49
-param.fps = 24
-param.num_inference_steps = 30
-param.guidance_scale = 5
-
-generator.generate_video(
-    "your prompt here",
-    sampling_param=param,
-    output_path="outputs/",
-    save_video=True,
-)

Quick Reference

Resolution832x480
Frames49
Steps30
BackendFLASH_ATTN
OffloadingNone
\ No newline at end of file diff --git a/docs/getting_started/quick_start.md b/docs/getting_started/quick_start.md index d75257adc..453d81885 100644 --- a/docs/getting_started/quick_start.md +++ b/docs/getting_started/quick_start.md @@ -35,6 +35,15 @@ Select your task and hardware to get a ready-to-run command: >
+ + !!! tip "Need more control?" Use the [Advanced Tuning Guide](advanced_tuning_guide.md) to tune all parameters — resolution, attention backend, memory offloading, and more.