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Update README.md
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README.md
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@@ -76,8 +76,10 @@ A **single step** is enough to generate high quality images.
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sd-turbo", torch_dtype=torch.float16, variant="fp16")
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pipe.to("cuda")
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prompt = "A cinematic shot of a baby racoon wearing an intricate italian priest robe."
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image = pipe(prompt=prompt, num_inference_steps=1, guidance_scale=0.0).images[0]
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```
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@@ -91,9 +93,14 @@ below.
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```py
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from diffusers import AutoPipelineForImage2Image
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from diffusers.utils import load_image
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pipe = AutoPipelineForImage2Image.from_pretrained("stabilityai/sd-turbo", torch_dtype=torch.float16, variant="fp16")
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init_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png").resize((512, 512))
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prompt = "cat wizard, gandalf, lord of the rings, detailed, fantasy, cute, adorable, Pixar, Disney, 8k"
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image = pipe(prompt, image=init_image, num_inference_steps=2, strength=0.5, guidance_scale=0.0).images[0]
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```
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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+
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pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sd-turbo", torch_dtype=torch.float16, variant="fp16")
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pipe.to("cuda")
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prompt = "A cinematic shot of a baby racoon wearing an intricate italian priest robe."
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image = pipe(prompt=prompt, num_inference_steps=1, guidance_scale=0.0).images[0]
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```
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```py
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from diffusers import AutoPipelineForImage2Image
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from diffusers.utils import load_image
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import torch
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pipe = AutoPipelineForImage2Image.from_pretrained("stabilityai/sd-turbo", torch_dtype=torch.float16, variant="fp16")
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pipe.to("cuda")
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init_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png").resize((512, 512))
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prompt = "cat wizard, gandalf, lord of the rings, detailed, fantasy, cute, adorable, Pixar, Disney, 8k"
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image = pipe(prompt, image=init_image, num_inference_steps=2, strength=0.5, guidance_scale=0.0).images[0]
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```
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