Image-to-Image
Diffusers
Safetensors
virtual-try-on
image-editing
multi-view
human
vton360
cvpr-2025
Instructions to use nielsr/VTON360-MVHumanNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nielsr/VTON360-MVHumanNet 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("nielsr/VTON360-MVHumanNet", 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
metadata
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: image-to-image
base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
tags:
- virtual-try-on
- image-editing
- multi-view
- human
- vton360
- cvpr-2025
- arxiv:2503.12165
VTON360 checkpoint for MVHumanNet
This repository contains the checkpoint-40000 model bundle for the
MVHumanNet experiment released with VTON 360: High-Fidelity Virtual Try-On
from Any Viewing Direction (CVPR 2025).
Use it with the custom implementation in the
official VTON360 repository. The
repository README instructs users to place this checkpoint under
src/multiview_consist_edit/checkpoints and run
src/multiview_consist_edit/infer_tryon_multi.py.
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="nielsr/VTON360-MVHumanNet",
local_dir="src/multiview_consist_edit/checkpoints/mvhumannet_tryon_mvattn_multi",
)
The released configuration also expects:
Provenance and attribution
- Official code: https://github.com/scnuhealthy/VTON360
- Project page: https://scnuhealthy.github.io/VTON360/
- Paper: https://huggingface.co/papers/2503.12165
- arXiv: https://arxiv.org/abs/2503.12165
- Original Baidu release: https://pan.baidu.com/s/1Onu7BIFzOppRSzO97ZmlmQ (code
mahx) - Community Hub source used for this mirror: https://huggingface.co/NTUST-DDRC/mvhumannet_tryon_mvattn_multi
The checkpoint is a derivative of Stable Diffusion v1.5 and retains the CreativeML Open RAIL-M license. Users must also follow the licenses and terms of VTON360, its code dependencies, and the underlying MVHumanNet data.