Instructions to use sweetpablo/diffuwusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sweetpablo/diffuwusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sweetpablo/diffuwusion", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d7d272a0bbc1fe0ef543716682c92954ad7651faed4238d49aca8ce3d4895d85
- Size of remote file:
- 246 MB
- SHA256:
- 6f19ff3aae2f80f6b431a4d7f2689d412e7dba51ef2a208a0ab7961b91f06720
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