FastVideo is a framework for training and running accelerated video-generation models, including real-time inference and post-training workflows. It is for researchers and developers building or deploying diffusion-based systems that generate video.
Borrowing it
Nothing to install: this file belongs to hao-ai-lab/FastVideo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hao-ai-lab/FastVideo/main/AGENTS.mdgit clone --depth 1 https://github.com/hao-ai-lab/FastVideoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/hao-ai-lab/fastvideo/agents-md)<a href="https://agentmods.dev/instructions/hao-ai-lab/fastvideo/agents-md"><img src="https://agentmods.dev/badge/instructions/hao-ai-lab/fastvideo/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/hao-ai-lab/fastvideo/agents-md"><img src="https://agentmods.dev/badge/instructions/hao-ai-lab/fastvideo/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01455 | $0.01455 |
| Opus 5.5 | $0.00582 | $0.00582 |
| Sonnet 5.5 | $0.00291 | $0.00291 |
| Haiku 4.5 | $0.00145 | $0.00145 |
Grade A, and why
FastVideo AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
- Core Python package:
fastvideo/(models, pipelines, training, distributed runtime, CLI entrypoints). - CUDA/custom kernels:
fastvideo-kernel/(separate build/test flow). - Tests:
fastvideo/tests/for package-level tests (dataset, encoders, inference, training, SSIM, workflow).tests/local_tests/for additional local/component checks.
- Docs and guides: canonical Markdown in
docs/, the Blume app indocs-site/, and contributor docs indocs/contributing/. - Runnable examples and scripts:
examples/andscripts/. - Static assets:
assets/(includingassets/images/,assets/videos/, andassets/prompts/) andcomfyui/assets/.
Build, Test, and Development Commands
UV_TORCH_BACKEND=cu126 uv pip install -e ".[dev]": editable CUDA 12 install with lint/test extras (cu130on CUDA 13).pre-commit install --hook-type pre-commit --hook-type commit-msg: enable local hooks.pre-commit run --all-files: run formatter/lint/type/spelling checks.pytest tests/: run top-level test suite.pytest fastvideo/tests/ -v: run package tests.pytest fastvideo/tests/ssim/ -vs: run SSIM regression tests (GPU-heavy).cd fastvideo-kernel && ./build.sh: build kernel extensions.
Coding Style & Naming Conventions
- Python 3.10+; 4-space indentation; keep code and imports readable and explicit.
- Style tools are configured in
pyproject.tomland.pre-commit-config.yaml:yapf(format),ruff(lint, auto-fix),mypy(typing),codespell.
- Lint via
pre-commit run --files <changed paths>(orpre-commit run --all-filesfor a full sweep) before committing. Do not shell out toyapf/ruff/codespell/mypydirectly — pre-commit chains them with the project's config and respects the.pre-commit-config.yamlexcludes (e.g.fastvideo/tests/is intentionally skipped). If pre-commit reports(no files to check)for your paths, that exclude is deliberate — don't bypass it. - Target line length is 120 (configured in
pyproject.tomlfor ruff, yapf, and isort). - Naming:
snake_casefor functions/files,PascalCasefor classes,UPPER_SNAKE_CASEfor constants.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago Changed · +8 tokens per session 1debbe5885db
- 1mo ago Changed · +4 lines · +110 tokens per session a4b10b04624d
- 2mo ago First seen · 87 lines · 1,337 tokens per session scan A 982777f27cfe
FastVideo AGENTS.md is an instructions file published in the GitHub repository hao-ai-lab/FastVideo (4,755 stars, last pushed today), licensed Apache-2.0. It adds 1,455 tokens to every session, about $0.0058 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
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Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.