cogvideox yaml

README.md

@@ -0,0 +1,49 @@
+---
+title: CogVideoX-2B Huggingface Space
+emoji: movie
+sdk_version: 4.40.0
+suggested_storage: large
+app_port: 7860
+suggested_hardware: a10g-large
+preload_from_hub:
+  - THUDM/CogVideoX-2b
+models: THUDM/CogVideoX-2b
+sdk: gradio
+python_version: 3.10
+tags:
+  - cogvideox
+  - video-generation
+  - thudm
+pinned: true
+disable_embedding: false
+----
+## How to run this space
+
+CogVideoX does not rely on any external API models.
+However, during the training of CogVideoX, we used relatively long prompts. To enable users to achieve rendering with
+shorter prompts, we integrated an LLM to refine the prompts for better results.
+This step is not mandatory, but we recommend using an LLM to enhance the prompts.
+
+### Using with GLM-4 Model
+
+```shell
+OPENAI_BASE_URL=https://open.bigmodel.cn/api/paas/v4/ OPENAI_API_KEY="ZHIPUAI_API_KEY" python gradio_demo.py
+```
+
+### Using with OpenAI GPT-4 Model
+
+```shell
+OPENAI_API_KEY="OPENAI_API_KEY" python gradio_demo.py
+```
+
+and change `app.py` here:
+
+```
+model="glm-4-0520"  # change to GPT-4o
+```
+
+### Not using LLM to refine prompts.
+
+```shell
+python gradio_demo.py
+```

app.py

@@ -185,4 +185,4 @@ with gr.Blocks() as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch(server_name="127.0.0.1", server_port=7870, share=True)
+    demo.launch(server_name="127.0.0.1", server_port=7860, share=True)

requirements.txt

@@ -1,4 +1,4 @@
-gradio>=4.40.0
+gradio==4.40.0
 imageio-ffmpeg>=0.5.1