Update README.md

README.md

@@ -1,57 +1,60 @@
----
-license: apache-2.0
-language:
-  - en
-tags:
-- cogvideox
-- video-generation
-- video-to-video
-- controlnet
-- diffusers
----
-
-# CogvideoX-5b Controlnet Extention
-
-### How to
-Clone repo 
-```bash
-git clone https://github.com/TheDenk/cogvideox-controlnet.git
-cd cogvideox-controlnet
-```
-  
-Create venv  
-```bash
-python -m venv venv
-source venv/bin/activate
-```
-  
-Install requirements
-```bash
-pip install -r requirements.txt
-```
-
-### Inference examples
-#### Inference with cli
-```bash
-python -m inference.cli_demo \
-    --video_path "resources/car.mp4" \
-    --prompt "The camera follows behind red car. Car is surrounded by a panoramic view of the vast, azure ocean. Seagulls soar overhead, and in the distance, a lighthouse stands sentinel, its beam cutting through the twilight. The scene captures a perfect blend of adventure and serenity, with the car symbolizing freedom on the open sea." \
-    --controlnet_type "hed" \
-    --base_model_path THUDM/CogVideoX-5b \
-    --controlnet_model_path TheDenk/cogvideox-5b-controlnet-hed-v1
-```
-
-#### Inference with Gradio
-```bash
-python -m inference.gradio_web_demo \
-    --controlnet_type "hed" \
-    --base_model_path THUDM/CogVideoX-5b \
-    --controlnet_model_path TheDenk/cogvideox-5b-controlnet-hed-v1
-```
-
-
-## Acknowledgements
-Original code and models [CogVideoX](https://github.com/THUDM/CogVideo/tree/main).  
-
-## Contacts
+---
+license: apache-2.0
+language:
+  - en
+tags:
+- cogvideox
+- video-generation
+- video-to-video
+- controlnet
+- diffusers
+---
+
+# CogvideoX-5b Controlnet Extention
+
+
+<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63fde49f6315a264aba6a7ed/frns--XYMiWf0mBUI0UMK.mp4"></video>
+
+### How to
+Clone repo 
+```bash
+git clone https://github.com/TheDenk/cogvideox-controlnet.git
+cd cogvideox-controlnet
+```
+  
+Create venv  
+```bash
+python -m venv venv
+source venv/bin/activate
+```
+  
+Install requirements
+```bash
+pip install -r requirements.txt
+```
+
+### Inference examples
+#### Inference with cli
+```bash
+python -m inference.cli_demo \
+    --video_path "resources/car.mp4" \
+    --prompt "The camera follows behind red car. Car is surrounded by a panoramic view of the vast, azure ocean. Seagulls soar overhead, and in the distance, a lighthouse stands sentinel, its beam cutting through the twilight. The scene captures a perfect blend of adventure and serenity, with the car symbolizing freedom on the open sea." \
+    --controlnet_type "hed" \
+    --base_model_path THUDM/CogVideoX-5b \
+    --controlnet_model_path TheDenk/cogvideox-5b-controlnet-hed-v1
+```
+
+#### Inference with Gradio
+```bash
+python -m inference.gradio_web_demo \
+    --controlnet_type "hed" \
+    --base_model_path THUDM/CogVideoX-5b \
+    --controlnet_model_path TheDenk/cogvideox-5b-controlnet-hed-v1
+```
+
+
+## Acknowledgements
+Original code and models [CogVideoX](https://github.com/THUDM/CogVideo/tree/main).  
+
+## Contacts
 <p>Issues should be raised directly in the repository. For professional support and recommendations please <a>welcomedenk@gmail.com</a>.</p>