Download examples/qwen_image/model_inference/Qwen-Image-Distill-LoRA.py from jiaxi2002/diff-storyboard: direct link, hf CLI and curl.
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https://huggingface.co/jiaxi2002/diff-storyboard/resolve/main/examples/qwen_image/model_inference/Qwen-Image-Distill-LoRA.py
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hf download hf://jiaxi2002/diff-storyboard/examples/qwen_image/model_inference/Qwen-Image-Distill-LoRA.py
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curl -L -o Qwen-Image-Distill-LoRA.py https://huggingface.co/jiaxi2002/diff-storyboard/resolve/main/examples/qwen_image/model_inference/Qwen-Image-Distill-LoRA.py
1.14 kB
| from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig | |
| from modelscope import snapshot_download | |
| import torch | |
| snapshot_download("DiffSynth-Studio/Qwen-Image-Distill-LoRA", local_dir="models/DiffSynth-Studio/Qwen-Image-Distill-LoRA") | |
| 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/DiffSynth-Studio/Qwen-Image-Distill-LoRA/model.safetensors") | |
| prompt = "精致肖像,水下少女,蓝裙飘逸,发丝轻扬,光影透澈,气泡环绕,面容恬静,细节精致,梦幻唯美。" | |
| image = pipe(prompt, seed=0, num_inference_steps=15, cfg_scale=1) | |
| image.save("image.jpg") |