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:
- 6d1bba5849d097e1e6add1b8220cccf0eac3bd46fad2c09639d36f1b212c88a4
- Size of remote file:
- 152 MB
- SHA256:
- 8ae4ed8e40f2dc1f371d95915f763364e0e43ab366211c41de009a3f259d2d34
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