[docs] Slim README, add FastH3 Omni news, add a docs news archive (#2066)

Co-authored-by: Aryan Kumar <156166681+aryan5v@users.noreply.github.com>
This commit is contained in:
FV SuperAgent
2026-11-08 14:49:48 -08:00
committed by GitHub
co-authored by Aryan Kumar
parent ce970eb715
commit 866a3cdb91
7 changed files with 75 additions and 54 deletions
+23
View File
@@ -60,6 +60,29 @@ UV_TORCH_BACKEND=cu126 uv pip install -e .
uv pip install flash-attn --no-build-isolation -v
```
## Install with an AI coding agent
FastVideo is a monorepo with rich agent guidance (see
[`AGENTS.md`](https://github.com/hao-ai-lab/FastVideo/blob/main/AGENTS.md)).
If you use Claude Code, Cursor, or another coding agent, paste the prompt
below; it detects your platform and follows the matching guide:
```text
Install FastVideo (https://github.com/hao-ai-lab/FastVideo) into a fresh uv virtual environment.
1. Detect the platform: run `uname -m`, `nvidia-smi`, and `nvcc --version`.
2. Read and follow the matching install guide exactly (in this repo, or at
https://hao-ai-lab.github.io/FastVideo/getting_started/installation/):
- NVIDIA GPU, x86_64 -> docs/getting_started/installation/gpu.md
- NVIDIA DGX Spark / GB10, aarch64, CUDA 13 -> docs/getting_started/installation/spark.md
- Apple Silicon, macOS -> docs/getting_started/installation/mlx.md
3. Use uv for every step. If a command fails, debug it and tell me what you changed.
4. Verify the result:
python -c "import fastvideo, torch; print('cuda', torch.cuda.is_available())"
fastvideo --help
5. Report which platform you detected and any deviations you had to make.
```
## Requirements
- **Python**: 3.10-3.12 is the tested and recommended range (the commands