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Enable Intel XPU support for Cosmos3-Edge #368

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25 changes: 24 additions & 1 deletion cookbooks/cosmos3/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,8 @@ backend you want to run and follow that one section.

## Prerequisites

- Linux with NVIDIA GPU access.
- Linux with NVIDIA GPU access, or an Intel GPU supported by PyTorch XPU for
the Diffusers backend.
- [`uv`](https://docs.astral.sh/uv/getting-started/installation/), `git`, and `git-lfs` installed.
- Hugging Face access to the gated Cosmos3 model repos. Generator also requires
access to the gated
Expand Down Expand Up @@ -165,6 +166,28 @@ uv pip install --torch-backend=cu130 \
transformers
```

For Intel GPUs supported by PyTorch XPU, use the `xpu` Torch backend instead:

```bash
uv venv --python 3.13 --seed --managed-python
source .venv/bin/activate

uv pip install --torch-backend=xpu \
"diffusers @ git+https://github.com/huggingface/diffusers.git" \
accelerate \
av \
cosmos_guardrail \
huggingface_hub \
imageio \
imageio-ffmpeg \
torch \
torchvision \
transformers
```

The Intel XPU path is supported by the Diffusers Cosmos3-Edge generator. The
other backends in this guide retain their documented NVIDIA GPU requirements.

## TensorRT-LLM Generator

OpenAI-compatible **VisualGen** server for Generator audiovisual text-to-image,
Expand Down
7 changes: 5 additions & 2 deletions cookbooks/cosmos3/generator/audiovisual/README.md
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Expand Up @@ -118,10 +118,12 @@ from diffusers.utils import export_to_video

prompt = json.load(open("assets/prompts/text2video/robot_kitchen.json"))
negative = json.load(open("assets/negative_prompts/text2video/neg_prompt.json"))
device = "xpu" if torch.xpu.is_available() else "cuda"

pipe = Cosmos3OmniPipeline.from_pretrained(
"nvidia/Cosmos3-Nano", torch_dtype=torch.bfloat16, device_map="cuda"
"nvidia/Cosmos3-Nano", torch_dtype=torch.bfloat16
)
pipe.to(device)
pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config, flow_shift=10.0)

result = pipe(
Expand All @@ -137,7 +139,7 @@ result = pipe(
enable_sound=False,
add_resolution_template=False,
add_duration_template=False,
generator=torch.Generator(device="cuda").manual_seed(1234),
generator=torch.Generator(device=device).manual_seed(1234),
)
export_to_video(result.video, "/tmp/cosmos3_t2v_diffusers.mp4", fps=24)
```
Expand All @@ -148,6 +150,7 @@ To run **Cosmos3-Super** instead, load the larger checkpoint:
To run **Cosmos3-Edge** instead, load `nvidia/Cosmos3-Edge` and use its
single-GPU, no-audio settings: `height=480`, `width=832`, `num_frames=121`,
`num_inference_steps=20`, `guidance_scale=5.0`, and `flow_shift=8.0`.
The Diffusers device selection above supports both CUDA and Intel XPU devices.

### Notebook walkthrough

Expand Down