updated config

README.md

@@ -1,42 +1,10 @@
-## Environment Setup
-
-`pip install -r requirements.txt`
-
-## Download checkpoints
-
-1. Download the pretrained checkpoints of [SVD_xt](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt-1-1) from huggingface to `./ckpts`.
-
-2. Download the checkpoint of [MOFA-Adapter](https://huggingface.co/MyNiuuu/MOFA-Video-Traj) from huggingface to `./ckpts`.
-
-3. Download the checkpoint of CMP from [here](https://huggingface.co/MyNiuuu/MOFA-Video-Traj/blob/main/models/cmp/experiments/semiauto_annot/resnet50_vip%2Bmpii_liteflow/checkpoints/ckpt_iter_42000.pth.tar) and put it into `./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints`.
-
-The final structure of checkpoints should be:
-
-
-```text
-./ckpts/
-|-- controlnet
-|   |-- config.json
-|   `-- diffusion_pytorch_model.safetensors
-|-- stable-video-diffusion-img2vid-xt-1-1
-|   |-- feature_extractor
-|       |-- ...
-|   |-- image_encoder
-|       |-- ...
-|   |-- scheduler
-|       |-- ...
-|   |-- unet
-|       |-- ...
-|   |-- unet_ch9
-|       |-- ...
-|   |-- vae
-|       |-- ...
-|   |-- svd_xt_1_1.safetensors
-|   `-- model_index.json
-```
-
-## Run Gradio Demo
-
-`python run_gradio.py`
-
-Please refer to the instructions on the gradio interface during the inference process.
+---
+title: MOFA Demo
+emoji: 🐠
+colorFrom: blue
+colorTo: pink
+sdk: gradio
+sdk_version: 4.32.2
+app_file: app.py
+pinned: false
+---