Instructions to use mengtingwei/magicface with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mengtingwei/magicface with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mengtingwei/magicface", 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:
- 1247536213e83f32958ed3738e0d0b7e2b849d81b9dab746b49f2fcb45026dbe
- Size of remote file:
- 53.3 MB
- SHA256:
- 468e13ca13a9b43cc0881a9f99083a430e9c0a38abd935431d1c28ee94b26567
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.