Instructions to use wynnn2168/Nano_faceswap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wynnn2168/Nano_faceswap with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wynnn2168/Nano_faceswap", 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
🎉 Nano FaceStudio Pro 1.0 is live — 7 local face tools + free browser demos
#1 opened about 1 month ago
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wynnn2168