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
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Download README.md from SpringAI/TryonSpringHD: direct link, hf CLI and curl.
- Browser
- Download file 153 Bytes
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https://huggingface.co/SpringAI/TryonSpringHD/resolve/main/README.md
- Command line
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hf download hf://SpringAI/TryonSpringHD/README.md
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curl -L -o README.md https://huggingface.co/SpringAI/TryonSpringHD/resolve/main/README.md
153 Bytes
metadata
base_model: stable-diffusion-xl-1.0-inpainting-0.1
tags:
- stable-diffusion-xl
- inpainting
- virtual try-on v2
license: cc-by-nc-sa-4.0