Image-to-Image
Diffusers
ONNX
Safetensors
StableDiffusionXLInpaintPipeline
stable-diffusion-xl
inpainting
virtual try-on v2
Instructions to use SpringAI/TryonSpringHD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SpringAI/TryonSpringHD 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("SpringAI/TryonSpringHD", 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
|
@@ -3,7 +3,7 @@ base_model: stable-diffusion-xl-1.0-inpainting-0.1
|
|
| 3 |
tags:
|
| 4 |
- stable-diffusion-xl
|
| 5 |
- inpainting
|
| 6 |
-
- virtual try-on
|
| 7 |
license: cc-by-nc-sa-4.0
|
| 8 |
---
|
| 9 |
|
|
|
|
| 3 |
tags:
|
| 4 |
- stable-diffusion-xl
|
| 5 |
- inpainting
|
| 6 |
+
- virtual try-on v2
|
| 7 |
license: cc-by-nc-sa-4.0
|
| 8 |
---
|
| 9 |
|