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app.py
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@@ -31,9 +31,6 @@ pipe_inversion.scheduler_inference = scheduler_class.from_config(pipe_inference
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# pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
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# pipe = pipe.to(device)
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 1024
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def infer(input_image, description_prompt, target_prompt, guidance_scale, num_inference_steps=4, num_inversion_steps=4, inversion_max_step=0.6):
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config = RunConfig(num_inference_steps=num_inference_steps,
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# pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
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# pipe = pipe.to(device)
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def infer(input_image, description_prompt, target_prompt, guidance_scale, num_inference_steps=4, num_inversion_steps=4, inversion_max_step=0.6):
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config = RunConfig(num_inference_steps=num_inference_steps,
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