Featured AlternativeLast updated 07-11-2024
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Deepnude.to
Deepnude.to (also known as deepnudes.to) is a website that uses artificial intelligence (AI) to create realistic nude images from regular photos. This website uses advanced deep learning to remove clothing from images, making photo editing and visual storytelling easier and more interesting.
Using Deepnude.to is straightforward. Users upload their photos, and the AI technology transforms them into realistic nude images. The AI analyzes the original photo and adds textures and lighting to make the result look very lifelike. This tool can be useful for artists, photographers, or anyone curious about what AI can do with images.
A key feature of Deepnude.to is its focus on privacy and security. The website ensures that all uploaded photos are kept private and deleted from their servers right after processing. This makes Deepnude.to a safe and trustworthy platform for users to explore their creativity without worrying about their personal information.
Deepnude.to also offers various customization options. Users can control the level of nudity, add artistic filters, or try different poses and angles. This allows users to create unique and personalized artwork that fits their style and preferences.
Whether you are an artist, a photography fan, or just curious, Deepnude.to provides a fun and innovative way to explore the combination of AI and visual art.
V2 Release: Introduction of the V2 nudifier with significantly improved image quality.
Changes & Improvement: V2 offers better results in about 70% of cases, though V1 might still outperform V2 in certain setups. It's recommended to use both V1 and V2 for best results.
Better Breasts Prediction: Improved breast size prediction based on shadows, curves of clothing, and the subject's body.
Enhanced Lighting Prediction: More realistic lighting on the nudified body to match the face and background.
Smoother Skins: Reduction in patchy skins and more coherent skin tone.
Improved Performance on Suboptimal Images: V2 performs slightly better with images not following optimal source image guidelines, like angled bodies or half bodies.