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README.md

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----
-license: mit
----
+---
+tags:
+  - text-to-image
+  - stable-diffusion
+  - audio-to-video
+license: apache-2.0
+language:
+  - en
+library_name: diffusers
+---
+
+# V-Express Model Card
+
+<div align="center">
+
+[**Project Page**](https://tenvence.github.io/p/v-express/) **|** [**Paper**](https://arxiv.org/abs/2406.02511) **|** [**Code**](https://github.com/tencent-ailab/V-Express)
+
+</div>
+
+---
+
+## Introduction
+
+## Models
+
+### Audio Encoder
+
+- [model_ckpts/wav2vec2-base-960h](https://huggingface.co/tk93/V-Express/tree/main/model_ckpts/wav2vec2-base-960h). (It is also available from the original model card [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h))
+
+### Face Analysis
+
+- [model_ckpts/insightface_models/models/buffalo_l](https://huggingface.co/tk93/V-Express/tree/main/model_ckpts/insightface_models/models/buffalo_l). (It is also available from the original repository [insightface/buffalo_l](https://github.com/deepinsight/insightface/releases/download/v0.7/buffalo_l.zip))
+
+### V-Express
+
+- [model_ckpts/sd-vae-ft-mse](https://huggingface.co/tk93/V-Express/tree/main/model_ckpts/sd-vae-ft-mse). VAE encoder. (original model card [stabilityai/sd-vae-ft-mse](https://huggingface.co/stabilityai/sd-vae-ft-mse))
+- [model_ckpts/stable-diffusion-v1-5](https://huggingface.co/tk93/V-Express/tree/main/model_ckpts/stable-diffusion-v1-5). Only the model configuration file for unet is needed here. (original model card [runwayml/stable-diffusion-v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5))
+- [model_ckpts/v-express](https://huggingface.co/tk93/V-Express/tree/main/model_ckpts/v-express). The video generation model conditional on audio and V-kps we call V-Express.
+- You should download and put all `.bin` model to `model_ckpts/v-express` directory, which includes `audio_projection.bin`, `denoising_unet.bin`, `motion_module.bin`, `reference_net.bin`, and `v_kps_guider.bin`.

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