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
metadata
license: apache-2.0
MagicFace Model Card
Introduction
MagicFace is an efficient and effective facial expression editing model conditioned on facial action units (AU). It provides a more flexible, user-friendly, and highly interpretable method for editing expressions.
Usage
You can directly download the model in this repository or download in python script:
# Download a specific file
from huggingface_hub import hf_hub_download
hf_hub_download(repo_id="mengtingwei/magicface", filename="79999_iter.pth", local_dir="./utils")
# Download all files
from huggingface_hub import snapshot_download
snapshot_download(repo_id="mengtingwei/magicface", local_dir="./")