| modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "qwen_image/Qwen-Image-Blockwise-ControlNet-Inpaint/*" --local_dir ./data/diffsynth_example_dataset | |
| accelerate launch --config_file examples/qwen_image/model_training/full/accelerate_config.yaml examples/qwen_image/model_training/train.py \ | |
| --dataset_base_path data/diffsynth_example_dataset/qwen_image/Qwen-Image-Blockwise-ControlNet-Inpaint \ | |
| --dataset_metadata_path data/diffsynth_example_dataset/qwen_image/Qwen-Image-Blockwise-ControlNet-Inpaint/metadata.csv \ | |
| --data_file_keys "image,blockwise_controlnet_image,blockwise_controlnet_inpaint_mask" \ | |
| --max_pixels 1048576 \ | |
| --dataset_repeat 400 \ | |
| --model_id_with_origin_paths "Qwen/Qwen-Image:transformer/diffusion_pytorch_model*.safetensors,Qwen/Qwen-Image:text_encoder/model*.safetensors,Qwen/Qwen-Image:vae/diffusion_pytorch_model.safetensors,DiffSynth-Studio/Qwen-Image-Blockwise-ControlNet-Inpaint:model.safetensors" \ | |
| --learning_rate 1e-3 \ | |
| --num_epochs 2 \ | |
| --remove_prefix_in_ckpt "pipe.blockwise_controlnet.models.0." \ | |
| --output_path "./models/train/Qwen-Image-Blockwise-ControlNet-Inpaint_full" \ | |
| --trainable_models "blockwise_controlnet" \ | |
| --extra_inputs "blockwise_controlnet_image,blockwise_controlnet_inpaint_mask" \ | |
| --use_gradient_checkpointing \ | |
| --find_unused_parameters | |
| # If you want to pre-train a Inpaint Blockwise ControlNet from scratch, | |
| # please run the following script to first generate the initialized model weights file, | |
| # and then start training with a high learning rate (1e-3). | |
| # python examples/qwen_image/model_training/scripts/Qwen-Image-Blockwise-ControlNet-Inpaint-Initialize.py | |
| # accelerate launch --config_file examples/qwen_image/model_training/full/accelerate_config.yaml examples/qwen_image/model_training/train.py \ | |
| # --dataset_base_path data/diffsynth_example_dataset/qwen_image/Qwen-Image-Blockwise-ControlNet-Inpaint \ | |
| # --dataset_metadata_path data/diffsynth_example_dataset/qwen_image/Qwen-Image-Blockwise-ControlNet-Inpaint/metadata.csv \ | |
| # --data_file_keys "image,blockwise_controlnet_image,blockwise_controlnet_inpaint_mask" \ | |
| # --max_pixels 1048576 \ | |
| # --dataset_repeat 50 \ | |
| # --model_id_with_origin_paths "Qwen/Qwen-Image:transformer/diffusion_pytorch_model*.safetensors,Qwen/Qwen-Image:text_encoder/model*.safetensors,Qwen/Qwen-Image:vae/diffusion_pytorch_model.safetensors" \ | |
| # --model_paths '["models/blockwise_controlnet_inpaint.safetensors"]' \ | |
| # --learning_rate 1e-3 \ | |
| # --num_epochs 2 \ | |
| # --remove_prefix_in_ckpt "pipe.blockwise_controlnet.models.0." \ | |
| # --output_path "./models/train/Qwen-Image-Blockwise-ControlNet-Inpaint_full" \ | |
| # --trainable_models "blockwise_controlnet" \ | |
| # --extra_inputs "blockwise_controlnet_image,blockwise_controlnet_inpaint_mask" \ | |
| # --use_gradient_checkpointing \ | |
| # --find_unused_parameters | |