[docs] Slim README, add FastH3 Omni news, add a docs news archive (#2066)
Co-authored-by: Aryan Kumar <156166681+aryan5v@users.noreply.github.com>
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Aryan Kumar
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@@ -60,6 +60,29 @@ UV_TORCH_BACKEND=cu126 uv pip install -e .
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uv pip install flash-attn --no-build-isolation -v
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```
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## Install with an AI coding agent
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FastVideo is a monorepo with rich agent guidance (see
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[`AGENTS.md`](https://github.com/hao-ai-lab/FastVideo/blob/main/AGENTS.md)).
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If you use Claude Code, Cursor, or another coding agent, paste the prompt
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below; it detects your platform and follows the matching guide:
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```text
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Install FastVideo (https://github.com/hao-ai-lab/FastVideo) into a fresh uv virtual environment.
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1. Detect the platform: run `uname -m`, `nvidia-smi`, and `nvcc --version`.
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2. Read and follow the matching install guide exactly (in this repo, or at
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https://hao-ai-lab.github.io/FastVideo/getting_started/installation/):
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- NVIDIA GPU, x86_64 -> docs/getting_started/installation/gpu.md
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- NVIDIA DGX Spark / GB10, aarch64, CUDA 13 -> docs/getting_started/installation/spark.md
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- Apple Silicon, macOS -> docs/getting_started/installation/mlx.md
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3. Use uv for every step. If a command fails, debug it and tell me what you changed.
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4. Verify the result:
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python -c "import fastvideo, torch; print('cuda', torch.cuda.is_available())"
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fastvideo --help
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5. Report which platform you detected and any deviations you had to make.
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```
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## Requirements
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- **Python**: 3.10-3.12 is the tested and recommended range (the commands
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