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:
- 9afacbeaacbb02a8f6bffd96b644455e671b2564a801303c5a95ac3dd7ea091f
- Size of remote file:
- 2.62 MB
- SHA256:
- 496283d2886b39f24bbee656cf1f8c917865c20a8ad3fcbf0afeba07ff81c8d5
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