Instructions to use Badd/SkinDiffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Badd/SkinDiffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Badd/SkinDiffusers", 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:
- ca26ca3560eaa7a547b5eacace9fd405300f5298806e9ec73e5699e8c11fc2c6
- Size of remote file:
- 492 MB
- SHA256:
- defffc0c09e6bd2fbe593689b528a76be6baa12a9744280a189ed212535ca347
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