Instructions to use rfscomfyui/beru_custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rfscomfyui/beru_custom with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rfscomfyui/beru_custom", 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:
- c45c953cab3e0824f67b3ded1ede64b51370ca697d055b6e1b2f726ee121c58e
- Size of remote file:
- 285 MB
- SHA256:
- e49daf020e66c5212a6e69148a80febc78952b9801517a42ea542a17597248f9
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