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 /loras /WAN2.2 /Wan2.2-Lightning_T2V-A14B-4steps-lora_HIGH_fp16.safetensors
- Xet hash:
- 33b447cff38c3c8b1a4e2d6084b616b6672dfaba2837ca3bcfd6c3da0e8965e0
- Size of remote file:
- 614 MB
- SHA256:
- b69f8f91b69c65a351b9a7b8a1a660d281ab968d15c1a791b336ffd4418f76d8
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