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 /Krea-2 /krea2_raw_int8_convrot.safetensors
- Xet hash:
- 0cb0da7cd987b0a8f9e9a2eb1fd807998d226ba373a9de8114324ad62a82e7fe
- Size of remote file:
- 13.5 GB
- SHA256:
- 5585a4a38c4bcfb6fde2d480a4aa6edf7f665721ebde56d30662c35a45f5fa5c
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