Instructions to use SidXXD/205 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/205 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/205", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
End of training
Verified signature38f8ba4 -
End of training
Verified signature018cb23 -
End of training
Verified signature47d0105 -
End of training
Verified signature2d7936b
-
End of training
Verified signaturee1aa626 -
End of training
Verified signature824f2c4 -
initial commit
Verified signature67459d6