Instructions to use SidXXD/183 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/183 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/183", 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
- Xet hash:
- ace0596a4296c59c3723020293c26ceb8170c2bdc285865a9a5ea06a5bf10606
- Size of remote file:
- 76.7 MB
- SHA256:
- 328c968ef86f908b7bc5c4cc5d82f847e16112402b092bd307933bd080cc03f3
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