Update README.md
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README.md
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@@ -33,15 +33,12 @@ import requests
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import torch
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from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler
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model_id = "
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pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_id, torch_dtype=torch.float16, safety_checker=None)
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CODE TO RUN IT:
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pipe.to("cuda")
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pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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url = "https://raw.githubusercontent.com/timothybrooks/instruct-pix2pix/main/imgs/example.jpg"
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def download_image(url):
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image = PIL.Image.open(requests.get(url, stream=True).raw)
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@@ -50,7 +47,7 @@ def download_image(url):
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return image
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image = download_image(url)
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prompt = "turn him into cyborg"
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images = pipe(prompt, image=image, num_inference_steps=10, image_guidance_scale=1).images
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images[0]
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```
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import torch
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from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler
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model_id = "peter-sushko/RealEdit"
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pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_id, torch_dtype=torch.float16, safety_checker=None)
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pipe.to("cuda")
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pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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<!--
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url = "https://raw.githubusercontent.com/timothybrooks/instruct-pix2pix/main/imgs/example.jpg"
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def download_image(url):
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image = PIL.Image.open(requests.get(url, stream=True).raw)
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return image
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image = download_image(url)
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prompt = "turn him into cyborg" -->
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images = pipe(prompt, image=image, num_inference_steps=10, image_guidance_scale=1).images
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images[0]
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```
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