Instructions to use OAOA/DifFace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OAOA/DifFace with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OAOA/DifFace", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e9a3d80093de149f07c5ee99e64839150c7a2984f1879fae5592992dafd73d7
- Size of remote file:
- 639 MB
- SHA256:
- b4144ad32e7a1475bd113bfada144d515a0654f9c595898c8473ddbe8dbde0a6
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