Update gradio_app.py
Browse files- gradio_app.py +4 -29
gradio_app.py
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from apps.utils import *
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_TITLE = '''
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_DESCRIPTION = '''
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<div>
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<span style="color: red;">Important: The ckpt models released have been primarily trained on character data, hence they are likely to exhibit superior performance in this category. We are also planning to release more advanced pretrained models in the future.</span>
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<br>
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By mimicking the artist/craftsman modeling workflow, we propose CraftsMan (aka ε εΏ) which uses 3D Latent Set Diffusion Model that directly generates coarse meshes,
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then a multi-view normal enhanced image generation model is used to refine the mesh.
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We provide the coarse 3D diffusion part here.
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<br>
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If you found CraftsMan is helpful, please help to β the <a href='https://github.com/wyysf-98/CraftsMan/' target='_blank'>Github Repo</a>. Thanks!
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<a style="display:inline-block; margin-left: .5em" href='https://github.com/wyysf-98/CraftsMan/'><img src='https://img.shields.io/github/stars/wyysf-98/CraftsMan?style=social' /></a>
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<br>
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*If you have your own multi-view images, you can directly upload it.
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<a href='https://github.com/wyysf-98/CraftsMan/blob/main/tutorial.md' target='_blank'>Tutorial</a>
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<a href='https://github.com/wyysf-98/CraftsMan/blob/main/tutorial_zh.md' target='_blank'>δ½Ώη¨ζη¨</a>
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</div>
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'''
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_CITE_ = r"""
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---
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π **Citation**
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```
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@article
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author = {Weiyu Li and Jiarui Liu and Rui Chen and Yixun Liang and Xuelin Chen and Ping Tan and Xiaoxiao Long},
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title = {CraftsMan: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner},
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journal = {arXiv preprint arXiv:2405.14979},
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year = {2024},
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}
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```
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π€ **Acknowledgements**
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We use <a href='https://github.com/wjakob/instant-meshes' target='_blank'>Instant Meshes</a> to remesh the generated mesh to a lower face count, thanks to the authors for the great work.
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π **License**
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CraftsMan is under [AGPL-3.0](https://www.gnu.org/licenses/agpl-3.0.en.html), so any downstream solution and products (including cloud services) that include CraftsMan code or a trained model (both pretrained or custom trained) inside it should be open-sourced to comply with the AGPL conditions. If you have any questions about the usage of CraftsMan, please contact us first.
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π§ **Contact**
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If you have any questions, feel free to open a discussion or contact us at <b>weiyuli.cn@gmail.com</b>.
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"""
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from apps.third_party.CRM.pipelines import TwoStagePipeline
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from apps.third_party.LGM.pipeline_mvdream import MVDreamPipeline
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from apps.utils import *
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_TITLE = '''ModelMan'''
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_DESCRIPTION = '''
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'''
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_CITE_ = r"""
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---
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π **Citation**
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```
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@article
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```
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"""
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from apps.third_party.CRM.pipelines import TwoStagePipeline
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from apps.third_party.LGM.pipeline_mvdream import MVDreamPipeline
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