| import torch | |
| from PIL import Image | |
| from diffsynth import load_state_dict | |
| from diffsynth.pipelines.boogu_image import BooguImagePipeline, ModelConfig | |
| pipe = BooguImagePipeline.from_pretrained( | |
| torch_dtype=torch.bfloat16, | |
| device="cuda", | |
| model_configs=[ | |
| ModelConfig(model_id="Boogu/Boogu-Image-0.1-Edit", origin_file_pattern="transformer/*.safetensors"), | |
| ModelConfig(model_id="Boogu/Boogu-Image-0.1-Edit", origin_file_pattern="mllm/*.safetensors"), | |
| ModelConfig(model_id="Boogu/Boogu-Image-0.1-Edit", origin_file_pattern="vae/*.safetensors"), | |
| ], | |
| processor_config=ModelConfig(model_id="Boogu/Boogu-Image-0.1-Edit", origin_file_pattern="mllm/"), | |
| ) | |
| state_dict = load_state_dict("models/train/Boogu-Image-0.1-Edit_full/epoch-1.safetensors") | |
| pipe.dit.load_state_dict(state_dict, strict=False) | |
| prompt = "将裙子改为粉色" | |
| edit_image = Image.open("data/diffsynth_example_dataset/boogu_image/Boogu-Image-0.1-Edit/edit/image1.jpg").convert("RGB") | |
| output = pipe( | |
| prompt=prompt, | |
| negative_prompt="", | |
| edit_image=edit_image, | |
| height=1024, | |
| width=1024, | |
| seed=42, | |
| rand_device="cuda", | |
| num_inference_steps=50, | |
| cfg_scale=1.0, | |
| ) | |
| output.save("image_Boogu-Image-0.1-Edit_full.jpg") | |