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To address the need for flexible and controllable customizations in virtual try-on systems, we propose IMAGDressing-v1. Specifically, we introduce a garment UNet that captures semantic features from CLIP and texture features from VAE. Our hybrid attention module includes a frozen self-attention and a trainable cross-attention, integrating these features into a frozen denoising UNet to ensure user-controlled editing. We will release a comprehensive dataset, IGv1, with over 200,000 pairs of clothing and dressed images, and establish a standard data assembly pipeline. Furthermore, IMAGDressing-v1 can be combined with extensions like ControlNet, IP-Adapter, T2I-Adapter, and AnimateDiff to enhance diversity and controllability.
Runs of camenduru IMAGDressing on huggingface.co
2
Total runs
-4
24-hour runs
-4
3-day runs
-5
7-day runs
0
30-day runs
More Information About IMAGDressing huggingface.co Model
IMAGDressing huggingface.co is an AI model on huggingface.co that provides IMAGDressing's model effect (), which can be used instantly with this camenduru IMAGDressing model. huggingface.co supports a free trial of the IMAGDressing model, and also provides paid use of the IMAGDressing. Support call IMAGDressing model through api, including Node.js, Python, http.
IMAGDressing huggingface.co is an online trial and call api platform, which integrates IMAGDressing's modeling effects, including api services, and provides a free online trial of IMAGDressing, you can try IMAGDressing online for free by clicking the link below.
camenduru IMAGDressing online free url in huggingface.co:
IMAGDressing is an open source model from GitHub that offers a free installation service, and any user can find IMAGDressing on GitHub to install. At the same time, huggingface.co provides the effect of IMAGDressing install, users can directly use IMAGDressing installed effect in huggingface.co for debugging and trial. It also supports api for free installation.