Instructions to use UmeAiRT/ComfyUI-Auto-Installer-Assets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmeAiRT/ComfyUI-Auto-Installer-Assets with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UmeAiRT/ComfyUI-Auto-Installer-Assets", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
ComfyUI-Auto-Installer-Assets / models /diffusion_models /WAN /wan2.1_vace_14B_fp8_e4m3fn.safetensors
- Xet hash:
- e02d99cb55650415de1bf801ce39bc12cbb2907cb7d69c831213e330dfcf8942
- Size of remote file:
- 17.3 GB
- SHA256:
- 15e1b1bbf1300ec1a81b176967012425da8668c3b89bb55b3e11cb174cc71b05
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