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 /controlnet /Qwen-Image-InstantX-ControlNet-Inpainting.safetensors
- Xet hash:
- 582f3bc9998bbe18184d9c3e81e4e851592f6b3d320b8b838271221533ba324e
- Size of remote file:
- 4.23 GB
- SHA256:
- 49c01aafe6545c1f6e7627a724c8fb13357fe74efee235622158f0a8f30e5458
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