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Update app.py
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app.py
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@@ -52,8 +52,8 @@ def nms(x, t, s):
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return z
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DESCRIPTION = '''# Scribble SDXL 🖋️🌄
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sketch to image with SDXL, using [@xinsir](https://huggingface.co/xinsir) [scribble sdxl controlnet](https://huggingface.co/xinsir/controlnet-scribble-sdxl-1.0)
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'''
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if not torch.cuda.is_available():
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@@ -124,9 +124,6 @@ def apply_style(style_name: str, positive: str, negative: str = "") -> tuple[str
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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eulera_scheduler = EulerAncestralDiscreteScheduler.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", subfolder="scheduler")
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controlnet = ControlNetModel.from_pretrained(
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"xinsir/controlnet-scribble-sdxl-1.0",
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torch_dtype=torch.float16
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@@ -136,12 +133,13 @@ controlnet = ControlNetModel.from_pretrained(
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vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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pipe = StableDiffusionXLControlNetPipeline.from_pretrained(
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"
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controlnet=controlnet,
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vae=vae,
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torch_dtype=torch.float16,
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scheduler=eulera_scheduler,
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)
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pipe.to(device)
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# Load model.
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return z
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DESCRIPTION = '''# Flash Scribble SDXL 🖋️🌄
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super fast sketch to image with Flash SDXL, using [@xinsir](https://huggingface.co/xinsir) [scribble sdxl controlnet](https://huggingface.co/xinsir/controlnet-scribble-sdxl-1.0) and [sdxl flash](https://huggingface.co/sd-community/sdxl-flash)
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'''
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if not torch.cuda.is_available():
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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controlnet = ControlNetModel.from_pretrained(
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"xinsir/controlnet-scribble-sdxl-1.0",
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torch_dtype=torch.float16
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vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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pipe = StableDiffusionXLControlNetPipeline.from_pretrained(
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"sd-community/sdxl-flash",
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controlnet=controlnet,
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vae=vae,
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torch_dtype=torch.float16,
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# scheduler=eulera_scheduler,
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)
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pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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pipe.to(device)
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# Load model.
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