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:
- b81622d633b512133d3cec184df23f7131f71ce1a8a203b5530ecfaf0e08d6e1
- Size of remote file:
- 1.06 GB
- SHA256:
- d8029c7735cc6594ea7e65dff37fd4e042999e17360da97cf8c056d07df880c6
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