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--- |
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base_model: |
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- timbrooks/instruct-pix2pix |
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- SherryXTChen/Instruct-CLIP |
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- SherryXTChen/LatentDiffusionDINOv2 |
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datasets: |
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- SherryXTChen/InstructCLIP-InstructPix2Pix-Data |
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language: |
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- en |
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library_name: diffusers |
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license: apache-2.0 |
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tags: |
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- stable-diffusion |
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- stable-diffusion-diffusers |
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- text-to-image |
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- diffusers |
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- diffusers-training |
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- image-to-image |
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inference: true |
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pipeline_tag: image-to-image |
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--- |
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# InstructCLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning |
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The model is based on the paper [Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning](https://huggingface.co/papers/2503.18406). |
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GitHub: https://github.com/SherryXTChen/Instruct-CLIP.git |
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## Example |
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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) |
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pipe.load_lora_weights("SherryXTChen/InstructCLIP-InstructPix2Pix") |
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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/SherryXTChen/Instruct-CLIP/refs/heads/main/assets/1_input.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 = "as a 3 d sculpture" |
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images = pipe(prompt, image=image, num_inference_steps=20).images |
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images[0].save("output.jpg") |
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``` |
