Instructions to use oddy01/ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oddy01/ComfyUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("oddy01/ComfyUI", 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
- Xet hash:
- f5f1c0191ff43ed8a8284267c8a6b5e001ce79cc19a25275e6505fc7b0436cbd
- Size of remote file:
- 289 MB
- SHA256:
- 80ffe37d8a5940d59a7384c201a2a38d4741f2f3c51eef46ebb28218a7b0ca2f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.