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Merge pull request #749 from mi804/training_args

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support num_workers,save_steps,find_unused_parameters
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Zhongjie Duan
2025-08-06 15:54:04 +08:00
committed by GitHub
parent 84ede171fd ef09db69cd
commit d0b9b25db7
11 changed files with 78 additions and 14 deletions
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examples/qwen_image/README.md
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@@ -219,6 +219,7 @@ The script includes the following parameters:
* `--width`: Width of image or video. Leave `height` and `width` empty to enable dynamic resolution.
* `--data_file_keys`: Data file keys in metadata. Separate with commas.
* `--dataset_repeat`: Number of times the dataset repeats per epoch.
* `--dataset_num_workers`: Number of workers for data loading.
* Model
* `--model_paths`: Model paths to load. In JSON format.
* `--model_id_with_origin_paths`: Model ID with original paths, e.g., Qwen/Qwen-Image:transformer/diffusion_pytorch_model*.safetensors. Separate with commas.
@@ -228,6 +229,8 @@ The script includes the following parameters:
* `--num_epochs`: Number of epochs.
* `--output_path`: Save path.
* `--remove_prefix_in_ckpt`: Remove prefix in checkpoint.
* `--save_steps`: Number of checkpoint saving invervals. If None, checkpoints will be saved every epoch.
* `--find_unused_parameters`: Whether to find unused parameters in DDP.
* Trainable Modules
* `--trainable_models`: Models to train, e.g., dit, vae, text_encoder.
* `--lora_base_model`: Which model to add LoRA to.