Here is my cmd:
accelerate launch examples/minimax_h3/model_training/train.py \
--dataset_base_path data/diffsynth_example_dataset/minimax_h3/MiniMax-H3-FL2VA \
--dataset_metadata_path data/diffsynth_example_dataset/minimax_h3/MiniMax-H3-FL2VA/metadata.csv \
--data_file_keys "video" \
--extra_inputs "input_image" \
--height 480 \
--width 832 \
--num_frames 124 \
--dataset_repeat 1 \
--model_id_with_origin_paths "MiniMax/MiniMax-H3:FL2VA/text_encoder/model*.safetensors,MiniMax/MiniMax-H3:FL2VA/video_vae/source/model.safetensors,MiniMax/MiniMax-H3:FL2VA/audio_vae/model.safetensors" \
--learning_rate 1e-4 \
--num_epochs 1 \
--remove_prefix_in_ckpt "pipe.dit." \
--output_path "./models/train/MiniMax-H3-FL2VA-split-cache" \
--lora_base_model "dit" \
--lora_target_modules "qkv_proj,out_proj" \
--lora_rank 32 \
--use_gradient_checkpointing \
--task "sft:data_process"
# FL2VA - stage 2 (train)
accelerate launch examples/minimax_h3/model_training/train.py \
--dataset_base_path ./models/train/MiniMax-H3-FL2VA-split-cache \
--data_file_keys "video" \
--extra_inputs "input_image" \
--height 480 \
--width 832 \
--num_frames 124 \
--dataset_repeat 100 \
--model_id_with_origin_paths "MiniMax/MiniMax-H3:FL2VA/transformer/model*.safetensors" \
--learning_rate 1e-4 \
--num_epochs 5 \
--remove_prefix_in_ckpt "pipe.dit." \
--output_path "./models/train/MiniMax-H3-FL2VA-split" \
--lora_base_model "dit" \
--lora_target_modules "qkv_proj,out_proj" \
--lora_rank 32 \
--use_gradient_checkpointing \
--find_unused_parameters \
--task "sft:train"
I remove input_audio and get this error:
File "/home/test/project/DiffSynth-Studio/diffsynth/diffusion/loss.py", line 78, in FlowMatchSFTMiniMaxH3AudioVideoLoss
audio_noise = torch.randn_like(inputs["audio_input_latents"])
~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
KeyError: 'audio_input_latents'
How to fine-tune Minimax H3 using Videos without audio?
Here is my cmd:
I remove
input_audioand get this error:How to fine-tune Minimax H3 using Videos without audio?