Image-to-Image
Diffusers
ONNX
Safetensors
StableDiffusionXLInpaintPipeline
stable-diffusion-xl
inpainting
virtual try-on
Instructions to use yisol/IDM-VTON with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yisol/IDM-VTON 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("yisol/IDM-VTON", 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
Why the result of IDM-VTON on VITONHD is so bad?
#32
by JorgeLee - opened
how
how did you initialize the model ,i didn't get the model to generate inference, help me to import the model
how did you initialize the model ,i didn't get the model to generate inference, help me to import the model
I referred to the code (https://github.com/yisol/IDM-VTON) posted by the author and imported it directly, downloaded the model and imported it directly.
Yes, I faced the same issue
Hey I figured it out. See my comments in the github repo: https://github.com/yisol/IDM-VTON/issues/185#issuecomment-2915850492
