Instructions to use FoivosPar/Arc2Face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FoivosPar/Arc2Face with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FoivosPar/Arc2Face", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -111,7 +111,7 @@ pipeline.scheduler = DPMSolverMultistepScheduler.from_config(pipeline.scheduler.
|
|
| 111 |
pipeline = pipeline.to('cuda')
|
| 112 |
```
|
| 113 |
|
| 114 |
-
Then, pick an image to extract the ID-embedding
|
| 115 |
|
| 116 |
```python
|
| 117 |
app = FaceAnalysis(name='antelopev2', root='./', providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])
|
|
|
|
| 111 |
pipeline = pipeline.to('cuda')
|
| 112 |
```
|
| 113 |
|
| 114 |
+
Then, pick an image to extract the ID-embedding:
|
| 115 |
|
| 116 |
```python
|
| 117 |
app = FaceAnalysis(name='antelopev2', root='./', providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])
|