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https://github.com/modelscope/DiffSynth-Studio.git
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54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig, FlowMatchScheduler
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from modelscope import dataset_snapshot_download
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from PIL import Image
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import torch
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pipe = QwenImagePipeline.from_pretrained(
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torch_dtype=torch.bfloat16,
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device="cuda",
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model_configs=[
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ModelConfig(model_id="Qwen/Qwen-Image-Edit-2511", origin_file_pattern="transformer/diffusion_pytorch_model*.safetensors"),
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ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="text_encoder/model*.safetensors"),
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ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
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],
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processor_config=ModelConfig(model_id="Qwen/Qwen-Image-Edit", origin_file_pattern="processor/"),
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)
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lora = ModelConfig(
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model_id="lightx2v/Qwen-Image-Edit-2511-Lightning",
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origin_file_pattern="Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors"
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)
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pipe.load_lora(pipe.dit, lora, alpha=1)
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pipe.scheduler = FlowMatchScheduler("Qwen-Image-Lightning")
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dataset_snapshot_download(
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"DiffSynth-Studio/example_image_dataset",
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allow_file_pattern="qwen_image_edit/*",
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local_dir="data/example_image_dataset",
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)
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prompt = "生成这两个人的合影"
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edit_image = [
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Image.open("data/example_image_dataset/qwen_image_edit/image1.jpg"),
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Image.open("data/example_image_dataset/qwen_image_edit/image2.jpg"),
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]
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image = pipe(
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prompt,
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edit_image=edit_image,
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seed=1,
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num_inference_steps=4,
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height=1152,
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width=896,
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edit_image_auto_resize=True,
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zero_cond_t=True, # This is a special parameter introduced by Qwen-Image-Edit-2511
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cfg_scale=1.0,
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)
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image.save("image.jpg")
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# Qwen-Image-Edit-2511 is a multi-image editing model.
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# Please use a list to input `edit_image`, even if the input contains only one image.
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# edit_image = [Image.open("image.jpg")]
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# Please do not input the image directly.
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# edit_image = Image.open("image.jpg")
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