Instructions to use SidXXD/65 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/65 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/65", 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 signaturedaced71 -
End of training
Verified signature1ba18fa -
End of training
Verified signature39a64ef -
End of training
Verified signaturedca6a1a
-
End of training
Verified signaturebba1664 -
End of training
Verified signature429b135 -
initial commit
Verified signature2be5a39