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:
- 05f7f134faf460cf8bbd861569e29024b34a8370a34dd65872bb66a182d09342
- Size of remote file:
- 1.03 GB
- SHA256:
- 6889da79c81a3d8173067da769e18c222ae216d5de40bda6ee8918a87df501da
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