Shypd.aiThe largest open index of AI toolsPalette-Image-to-Image-Diffusion-Models is an open-source image generation tool that provides an unofficial PyTorch implementation of Palette: Image-to-Image Diffusion Models. It focuses on tasks like inpainting, uncropping, and colorization using diffusion models.
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Palette-Image-to-Image-Diffusion-Models offers an unofficial PyTorch implementation of the Palette: Image-to-Image Diffusion Models. This open-source project is built upon the Image-Super-Resolution-via-Iterative-Refinement framework and incorporates architectural improvements from Guided-Diffusion, including attention mechanisms in low-resolution features. The tool is designed for various image-to-image translation tasks such as inpainting, uncropping, and colorization. It provides detailed instructions for environment setup, data preparation, training, and evaluation, making it suitable for researchers and developers working with diffusion models. The project also includes pre-trained models and Google Colab scripts for specific tasks like inpainting.
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