| from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig | |
| import torch | |
| pipe = QwenImagePipeline.from_pretrained( | |
| torch_dtype=torch.bfloat16, | |
| device="cuda", | |
| model_configs=[ | |
| ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="transformer/diffusion_pytorch_model*.safetensors"), | |
| ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="text_encoder/model*.safetensors"), | |
| ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"), | |
| ], | |
| tokenizer_config=ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="tokenizer/"), | |
| ) | |
| pipe.load_lora(pipe.dit, './models/train/Qwen-Image-LoRA-splited/epoch-4.safetensors') | |
| prompt = "a dog" | |
| image = pipe(prompt, seed=0) | |
| image.save('split_training_Qwen-Image.jpg') | |