Kandinsky-2 is a multilingual text2image latent diffusion model available on GitHub, which allows users to compare changes across branches, commits, tags, and more
FEATURES
💻 Multilingual Support: Kandinsky 2 is a multilingual text-to-image model that supports the generation of images from text in multiple languages.
🎨 Enhanced Visual Quality: The model incorporates enhancements to improve the visual quality of the generated images, providing more realistic and detailed outputs.
⚙️ Dynamic Threshold Denoising: Utilizes dynamic threshold denoising to enhance the image generation process, allowing for better noise reduction and improved image clarity.
🔢 High-Resolution Output: Capable of generating high-resolution images with a specified batch size, height, and width parameters, offering flexibility in the output image dimensions.
🔁 Inpainting Capabilities: The model includes inpainting functionality, enabling the generation of images by completing or filling in missing parts based on the provided input.
USE CASES
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📘 documentation: Improvements or additions to documentation.
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