Instructions to use SidXXD/debug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/debug 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/debug", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ce760b5fba511b18159a85a96fbfda51c250f20123d25234c59cf9b8bf876bd4
- Size of remote file:
- 76.7 MB
- SHA256:
- 30af7b4b03d9b85df76f98fae618e87fe12ff7dd0bdb8715f3c8619329ed9237
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