Aura Flow
Aura Flow is a flow-based generation model, a powerful approach used in machine learning to explicitly model probability distributions. Unlike some other generative models, which might rely on complex architectures or adversarial training, redefining the possibilities of text-to-image synthesis.
Key Highlights
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Open-Source: Aura Flow is the largest fully open-sourced flow-based model, capable of transforming textual prompts into vivid visual representations.
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Text-to-Image Magic: AuraFlow seamlessly bridges language and pixels. Feed it a descriptive text, and it weaves intricate images—whether serene landscapes, fantastical creatures, or everyday scenes.
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faceswap-v2
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sdxl-inpaint
This model is capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask
sd2.1-faceswapper
Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training
