haoningwu3639/MegaFusion
[WACV 2025] MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
This project helps graphic designers, digital artists, and marketing professionals create much larger, detailed images from existing text-to-image models. You input a standard-resolution image generated by a model like Stable Diffusion, and it produces a significantly higher-resolution version without losing quality or requiring extensive retraining of the original model. This is for anyone who needs high-quality, large-format visual content but works with models that typically output smaller images.
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Use this if you need to upscale images generated by diffusion models to very high resolutions for professional printing, large displays, or detailed digital artwork.
Not ideal if you need to generate images from scratch at high resolution, as it focuses on upscaling existing outputs rather than initial generation.
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99
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Language
Python
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Last pushed
Apr 17, 2025
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