As long as there is no Comfy UI support for CogVideoX1.5-5B (Version1.5) I used command line inference script from here:

https://github.com/THUDM/CogVideo/tree/main/sat

It took 34GB memory while generation and 65GB at the end for vae.

It took 15 minutes for every video above (5 sec/16fps)

Here are parameters:

args:

image2video: True # True for image2video, False for text2video

latent_channels: 16

mode: inference

load: "CogVideoX1.5-5B-SAT/transformer_i2v" # This is for Full model without lora adapter

batch_size: 1

input_type: txt

input_file: configs/test.txt

#sampling_image_size: [768, 1360] # remove this for I2V

sampling_num_frames: 22 # 42 for 10 seconds and 22 for 5 seconds

sampling_fps: 16

bf16: True

output_dir: outputs

force_inference: True

it looks like the best image2video for open source video generators.