DiffusionCLIP CelebA_HQ

gwang-kim

DiffusionCLIP-CelebA_HQ

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation - Faces Creators: Gwanghyun Kim, Taesung Kwon, Jong Chul Ye Paper: https://arxiv.org/abs/2110.02711 DiffusionCLIP is a diffusion model which is well suited for image manipulation thanks to its nearly perfect inversion capability, which is an important advantage over GAN-based models. This checkpoint was trained on the CelebA-HQ Dataset, available on the Hugging Face Hub: https://huggingface.co/datasets/huggan/CelebA-HQ. This checkpoint is most appropriate for manipulation, reconstruction, and style transfer on images of human faces using the DiffusionCLIP model. To use ID loss for preserving Human face identity, you are required to download the pretrained IR-SE50 model from TreB1eN. Additional information is available on the GitHub repository. Credits Code repository available at: https://github.com/gwang-kim/DiffusionCLIP Citation
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Creator Models

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Dafasfasfa$?0
DiffusionCLIP LSUN_Bedroom$?0
Datid3d Finetuned Eg3d Models$?0

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Creatorgwang-kim
Model NameDiffusionCLIP CelebA_HQ
Description

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Ma...

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