Name	Storage Space	Hugging Face	Model Scope	Description
CogVideoX-Fun-V1.5-5b-InP	20.0 GB	🤗Link	😄Link	Our official graph-generated video model is capable of predicting videos at multiple resolutions (512, 768, 1024) and has been trained on 85 frames at a rate of 8 frames per second.
CogVideoX-Fun-V1.5-Reward-LoRAs	-	🤗Link	😄Link	The official reward backpropagation technology model optimizes the videos generated by CogVideoX-Fun-V1.5 to better match human preferences. ｜

V1.1:

Name	Storage Space	Hugging Face	Model Scope	Description
CogVideoX-Fun-V1.1-2b-InP	13.0 GB	🤗Link	😄Link	Our official graph-generated video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second.
CogVideoX-Fun-V1.1-5b-InP	20.0 GB	🤗Link	😄Link	Our official graph-generated video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second. Noise has been added to the reference image, and the amplitude of motion is greater compared to V1.0.
CogVideoX-Fun-V1.1-2b-Pose	13.0 GB	🤗Link	😄Link	Our official pose-control video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second.
CogVideoX-Fun-V1.1-2b-Control	13.0 GB	🤗Link	😄Link	Our official control video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second. Supporting various control conditions such as Canny, Depth, Pose, MLSD, etc.
CogVideoX-Fun-V1.1-5b-Pose	20.0 GB	🤗Link	😄Link	Our official pose-control video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second.
CogVideoX-Fun-V1.1-5b-Control	20.0 GB	🤗Link	😄Link	Our official control video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second. Supporting various control conditions such as Canny, Depth, Pose, MLSD, etc.
CogVideoX-Fun-V1.1-Reward-LoRAs	-	🤗Link	😄Link	The official reward backpropagation technology model optimizes the videos generated by CogVideoX-Fun-V1.1 to better match human preferences. ｜

V1.0:

Name	Storage Space	Hugging Face	Model Scope	Description
CogVideoX-Fun-2b-InP	13.0 GB	🤗Link	😄Link	Our official graph-generated video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second.
CogVideoX-Fun-5b-InP	20.0 GB	🤗Link	😄Link	Our official graph-generated video model is capable of predicting videos at multiple resolutions (512, 768, 1024, 1280) and has been trained on 49 frames at a rate of 8 frames per second.

Storage Location:

📂 ComfyUI/
├── 📂 models/
│ └── 📂 Fun_Models/
|   ├── 📂 CogVideoX-Fun-V1.1-2b-InP/
|   ├── 📂 CogVideoX-Fun-V1.1-5b-InP/
|   ├── 📂 CogVideoX-Fun-V1.5-5b-InP/
│   └── 📂 CogVideoX-Fun-V1.1-5b-Control/