Update requirements.txt.
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@ -1,16 +1,17 @@
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invisible_watermark
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accelerate
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diffusers[torch]==0.17.1
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diffusers[torch]==0.20.1
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onnxruntime==1.15.1
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safetensors==0.3.1
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safetensors==0.3.3
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torch==2.0.1+cu117
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transformers==4.30.2
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xformers==0.0.20
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transformers==4.32.0
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xformers==0.0.21
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realesrgan==0.3.0
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basicsr>=1.4.2
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facexlib>=0.3.0
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gfpgan>=1.3.8
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numpy
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scipy==1.11.1
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opencv-python
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Pillow
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torchvision
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@ -70,7 +70,7 @@ class StableDiffusion(StableDiffusionInterface):
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else:
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print(f"The directory '{self.cache_path}' does not exist.")
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torch.cuda.memory._set_allocator_settings("max_split_size_mb:256")
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# torch.cuda.memory._set_allocator_settings("max_split_size_mb:256")
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self.pipe = diffusers.StableDiffusionPipeline.from_pretrained(
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self.cache_path,
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@ -180,7 +180,7 @@ class StableDiffusion(StableDiffusionInterface):
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generator = torch.Generator("cuda").manual_seed(seed)
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with torch.inference_mode():
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with torch.autocast("cuda"):
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generated_images = self.pipe.text2img(
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generated_images = self.pipe(
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prompt * batch_size,
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negative_prompt=n_prompt * batch_size,
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height=height,
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