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
π Nano FaceStudio Pro 1.0 is live β 7 local face tools + free browser demos
#1
by wynnn2168 - opened
Hi all β quick update on this model.
We turned the "coming soon" local app into a real one: Nano FaceStudio Pro 1.0 is now available for Windows (macOS Apple Silicon ~1 week out).
It's the same identity stack as this repo, plus mask edit, expression editing, face vivid restoration, 2Γ/3Γ/4Γ upscale, light adjust, and crop β all bundled, all running locally on your GPU. No uploads, no retention.
You can try the core tools free in the browser for free (no install):
- Face Swap β https://nanopocket.ai/
Full feature breakdown β https://nanopocket.ai/apps/nano-facestudio-pro
Feedback very welcome π