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--- |
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license: mit |
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duplicated_from: timbrooks/instruct-pix2pix |
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library_name: diffusers |
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tags: |
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- image-to-image |
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--- |
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# InstructPix2Pix: Learning to Follow Image Editing Instructions |
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GitHub: https://github.com/timothybrooks/instruct-pix2pix |
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<img src='https://instruct-pix2pix.timothybrooks.com/teaser.jpg'/> |
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## Example |
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To use `InstructPix2Pix`, install `diffusers` using `main` for now. The pipeline will be available in the next release |
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```bash |
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pip install diffusers accelerate safetensors transformers |
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``` |
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```python |
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import PIL |
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import requests |
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import torch |
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from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler |
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model_id = "timbrooks/instruct-pix2pix" |
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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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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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image = PIL.ImageOps.exif_transpose(image) |
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image = image.convert("RGB") |
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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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``` |
