Instructions to use Ling277/FaceComposer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ling277/FaceComposer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Fill-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ling277/FaceComposer") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from Ling277/FaceComposer: direct link, hf CLI and curl.
- Browser
- Download file 868 Bytes
-
https://huggingface.co/Ling277/FaceComposer/resolve/main/README.md
- Command line
-
hf download hf://Ling277/FaceComposer/README.md
-
curl -L -o README.md https://huggingface.co/Ling277/FaceComposer/resolve/main/README.md
868 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| base_model: black-forest-labs/FLUX.1-Fill-dev | |
| instance_prompt: null | |
| license: apache-2.0 | |
| # FaceComposer | |
| <Gallery /> | |
| ## Model description | |
| Official research code for FaceComposer: Learning Coherent and Realistic Face Composition from References. | |
| FaceComposer performs reference-based face composition: given a source portrait, a reference portrait, and selected facial components such as eyebrows, eyes, nose, or mouth, the model edits the source ROI toward the reference while preserving source pose, expression, illumination, and context. | |
|  | |
| ## Download model | |
| [Download](/Ling277/FaceComposer/tree/main) them in the Files & versions tab. | |