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+ ---
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+ license: mit
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+ datasets:
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+ - phiyodr/coco2017
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+ ---
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+ An implementation of the [Pix2Pix](https://arxiv.org/abs/1611.07004) paper for image colorization using PyTorch.
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+
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+ Try a trained on Google Colab:
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+
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+ <a href="https://colab.research.google.com/github/DavidRamosArchilla/Colorizing-images/blob/main/image_colorization_demo.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
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+
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+ ---
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+ To download it:
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+
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+ ```python
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+ from huggingface_hub import hf_hub_download
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+
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+ model_path = hf_hub_download(
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+ repo_id="davidramos/image-colorization",
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+ filename="model.pth"
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+ )
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+ ```
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+
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+ and to load the weights into a model, first clone this repo (or grab the needed files):
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+ ```bash
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+ git clone https://github.com/yourusername/colorizing_images.git
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+ cd colorizing_images
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+ ```
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+
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+ and create a model intance:
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+ ```python
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+ from models import ColorizingNet
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+ model = ColorizingNet(device)
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+ model.load_state_dict(torch.load(model_path))
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+ ```