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lora_checkpoint & weight_decay & qwen_image_controlnet_train
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@@ -288,6 +288,7 @@ The script includes the following parameters:
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* `--min_timestep_boundary`: Minimum value of the timestep interval, ranging from 0 to 1. Default is 1. This needs to be manually set only when training mixed models with multiple DiTs, for example, [Wan-AI/Wan2.2-I2V-A14B](https://modelscope.cn/models/Wan-AI/Wan2.2-I2V-A14B).
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* Training
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* `--learning_rate`: Learning rate.
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* `--weight_decay`: Weight decay.
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* `--num_epochs`: Number of epochs.
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* `--output_path`: Output save path.
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* `--remove_prefix_in_ckpt`: Remove prefix in ckpt.
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@@ -298,6 +299,7 @@ The script includes the following parameters:
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* `--lora_base_model`: Which model LoRA is added to.
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* `--lora_target_modules`: Which layers LoRA is added to.
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* `--lora_rank`: Rank of LoRA.
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* `--lora_checkpoint`: Path to the LoRA checkpoint. If provided, LoRA will be loaded from this checkpoint.
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* Extra Inputs
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* `--extra_inputs`: Additional model inputs, comma-separated.
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* VRAM Management
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