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Update README.md

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@@ -111,7 +111,7 @@ from PIL import Image
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  from diffusers import StableDiffusionXLControlNetPipeline, ControlNetModel, LCMScheduler
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  from diffusers.utils import load_image, make_image_grid
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- adapter_id = "jasperai/flash-sdxl"
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  image = load_image(
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  "https://hf.co/datasets/huggingface/documentation-images/resolve/main/diffusers/input_image_vermeer.png"
@@ -141,10 +141,9 @@ pipe = StableDiffusionXLControlNetPipeline.from_pretrained(
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  pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
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  # Load LoRA
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- pipe.load_lora_weights("jasperai/flash-sdxl")
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  pipe.fuse_lora()
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- generator = torch.manual_seed(0)
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  image = pipe(
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  "picture of the mona lisa",
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  image=canny_image,
@@ -152,7 +151,6 @@ image = pipe(
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  guidance_scale=0,
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  controlnet_conditioning_scale=0.5,
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  cross_attention_kwargs={"scale": 1},
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- generator=generator,
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  ).images[0]
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  make_image_grid([canny_image, image], rows=1, cols=2)
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  ```
 
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  from diffusers import StableDiffusionXLControlNetPipeline, ControlNetModel, LCMScheduler
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  from diffusers.utils import load_image, make_image_grid
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+ flash_lora_id = "jasperai/flash-sdxl"
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  image = load_image(
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  "https://hf.co/datasets/huggingface/documentation-images/resolve/main/diffusers/input_image_vermeer.png"
 
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  pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
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  # Load LoRA
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+ pipe.load_lora_weights(flash_lora_id)
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  pipe.fuse_lora()
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  image = pipe(
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  "picture of the mona lisa",
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  image=canny_image,
 
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  guidance_scale=0,
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  controlnet_conditioning_scale=0.5,
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  cross_attention_kwargs={"scale": 1},
 
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  ).images[0]
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  make_image_grid([canny_image, image], rows=1, cols=2)
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  ```