Instructions to use JiaxinGe/Diffusers-BAGEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JiaxinGe/Diffusers-BAGEL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JiaxinGe/Diffusers-BAGEL", 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:
- 3bd877c354799ca2b8fbe40b27fb0a0ac2f88ffe0dd68db805b134e6c662fc3c
- Size of remote file:
- 335 MB
- SHA256:
- 258b23585f48ca88f64ee054c38e7a1314e5bd326e443acb2ecbc01c5f1917fb
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