Duplicate from timbrooks/instruct-pix2pix

Co-authored-by: Tim Brooks <[email protected]>

.gitattributes

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README.md

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+---
+license: mit
+duplicated_from: timbrooks/instruct-pix2pix
+---
+
+# InstructPix2Pix: Learning to Follow Image Editing Instructions
+GitHub: https://github.com/timothybrooks/instruct-pix2pix
+<img src='https://instruct-pix2pix.timothybrooks.com/teaser.jpg'/>
+
+
+
+## Example
+
+To use `InstructPix2Pix`, install `diffusers` using `main` for now. The pipeline will be available in the next release
+
+```bash
+pip install diffusers accelerate safetensors transformers
+```
+
+```python
+import PIL
+import requests
+import torch
+from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler
+
+model_id = "timbrooks/instruct-pix2pix"
+pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_id, torch_dtype=torch.float16, safety_checker=None)
+pipe.to("cuda")
+pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
+
+url = "https://raw.githubusercontent.com/timothybrooks/instruct-pix2pix/main/imgs/example.jpg"
+def download_image(url):
+    image = PIL.Image.open(requests.get(url, stream=True).raw)
+    image = PIL.ImageOps.exif_transpose(image)
+    image = image.convert("RGB")
+    return image
+image = download_image(URL)
+
+prompt = "turn him into cyborg"
+images = pipe(prompt, image=image, num_inference_steps=10, image_guidance_scale=1).images
+images[0]
+```

feature_extractor/preprocessor_config.json

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+    0.4578275,
+    0.40821073
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+  "image_std": [
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+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

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model_index.json

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+  "_class_name": "StableDiffusionInstructPix2PixPipeline",
+  "_diffusers_version": "0.12.0.dev0",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
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+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
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+    "diffusers",
+    "EulerAncestralDiscreteScheduler"
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+  ],
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+  ],
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+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

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