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:
- 1a8b194f61a753f7266c4e8a50b971014c3197e0acf9f1f82dcb4a35dfd15dfb
- Size of remote file:
- 52.6 kB
- SHA256:
- 32f7f838e0c6d8f13437ba8411e77a4688d77a2e34df8857e4ef4d51f6b97692
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.