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use_dynamic_cfg in cli_demo.py
Hi, I am trying to fine-tune CogVideoX-5B-I2V using LoRA, and run the inference.
I noticed that in the inference/cli_demo.py, use_dynamic_cfg is set as True when calling pipe() but it seems that in the finetuning code (e.g., finetune/models/cogvideox_i2v/lora_trainer.py, validation_step()), use_dynamic_cfg is not specified, and seems to be set as False as default in diffusers code (diffusers/pipelines/cogvideo/pipeline_cogvideox_image2video.py).
May I ask if this would make difference in the inference result?
Thanks!
Meeting, but the impact is not great, you can set it according to the actual situation, choose False or True.