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Update app.py
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app.py
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@@ -4,7 +4,6 @@ import torch
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import diffusers
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import os
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hf_token = os.environ.get("HF_TOKEN")
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import spaces
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from diffusers import StableDiffusionXLInpaintPipeline, DDIMScheduler, UNet2DConditionModel
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@@ -39,7 +38,6 @@ def read_content(file_path: str) -> str:
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return content
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@spaces.GPU()
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def predict(dict, prompt="", negative_prompt="", guidance_scale=7.5, steps=20, strength=1.0, scheduler="EulerDiscreteScheduler"):
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if negative_prompt == "":
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negative_prompt = None
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import diffusers
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import os
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hf_token = os.environ.get("HF_TOKEN")
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from diffusers import StableDiffusionXLInpaintPipeline, DDIMScheduler, UNet2DConditionModel
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return content
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def predict(dict, prompt="", negative_prompt="", guidance_scale=7.5, steps=20, strength=1.0, scheduler="EulerDiscreteScheduler"):
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if negative_prompt == "":
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negative_prompt = None
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