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Artiprocher
2025-11-14 19:05:26 +08:00
parent 5be5c32fe4
commit e3356556ee
215 changed files with 5504 additions and 482 deletions
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12
examples/qwen_image/model_training/train.py
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@@ -17,12 +17,13 @@ class QwenImageTrainingModule(DiffusionTrainingModule):
use_gradient_checkpointing_offload=False,
extra_inputs=None,
fp8_models=None,
offload_models=None,
device="cpu",
task="sft",
):
super().__init__()
# Load models
model_configs = self.parse_model_configs(model_paths, model_id_with_origin_paths, fp8_models=fp8_models, device=device)
model_configs = self.parse_model_configs(model_paths, model_id_with_origin_paths, fp8_models=fp8_models, offload_models=offload_models, device=device)
tokenizer_config = ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="tokenizer/") if tokenizer_path is None else ModelConfig(tokenizer_path)
processor_config = ModelConfig(model_id="Qwen/Qwen-Image-Edit", origin_file_pattern="processor/") if processor_path is None else ModelConfig(processor_path)
self.pipe = QwenImagePipeline.from_pretrained(torch_dtype=torch.bfloat16, device=device, model_configs=model_configs, tokenizer_config=tokenizer_config, processor_config=processor_config)
@@ -33,6 +34,7 @@ class QwenImageTrainingModule(DiffusionTrainingModule):
self.pipe, trainable_models,
lora_base_model, lora_target_modules, lora_rank, lora_checkpoint,
preset_lora_path, preset_lora_model,
task=task,
)
# Other configs
@@ -42,8 +44,8 @@ class QwenImageTrainingModule(DiffusionTrainingModule):
self.fp8_models = fp8_models
self.task = task
self.task_to_loss = {
"sft:data_process": lambda *args: args,
"direct_distill:data_process": lambda *args: args,
"sft:data_process": lambda pipe, *args: args,
"direct_distill:data_process": lambda pipe, *args: args,
"sft": lambda pipe, inputs_shared, inputs_posi, inputs_nega: FlowMatchSFTLoss(pipe, **inputs_shared, **inputs_posi),
"sft:train": lambda pipe, inputs_shared, inputs_posi, inputs_nega: FlowMatchSFTLoss(pipe, **inputs_shared, **inputs_posi),
"direct_distill": lambda pipe, inputs_shared, inputs_posi, inputs_nega: DirectDistillLoss(pipe, **inputs_shared, **inputs_posi),
@@ -71,9 +73,6 @@ class QwenImageTrainingModule(DiffusionTrainingModule):
return inputs_shared, inputs_posi, inputs_nega
def forward(self, data, inputs=None):
if self.fp8_models is not None:
# TODO: remove it
self.pipe.flush_vram_management_device(self.pipe.device)
if inputs is None: inputs = self.get_pipeline_inputs(data)
inputs = self.transfer_data_to_device(inputs, self.pipe.device, self.pipe.torch_dtype)
for unit in self.pipe.units:
@@ -128,6 +127,7 @@ if __name__ == "__main__":
use_gradient_checkpointing_offload=args.use_gradient_checkpointing_offload,
extra_inputs=args.extra_inputs,
fp8_models=args.fp8_models,
offload_models=args.offload_models,
task=args.task,
device=accelerator.device,
)