Stable Diffusion models are generative AI models based on diffusion technology and latent space. They produce realistic images, videos, and animations from text and image prompts, and can be used for tasks like inpainting and outpainting. The article lists the best Stable Diffusion models, including Protogen, CyberRealistic, AbsoluteReality, Realistic Vision, and Epicrealism. Protogen specializes in creating photorealistic images through machine-learning strategies. CyberRealistic focuses on creating human images and works well with LoRA and textual inversion models. AbsoluteReality aims to create realistic images and works well with simple signals. Realistic Vision is regularly updated and can generate images of humans, animals, and objects. It is trained on real-life images and objects, not imaginary ones. An inpainting version of Realistic Vision is available for creating images of people. Epicrealism creates realistic images with a cinematic look, requiring proper use of signals. It is a favorite model for creating high-quality images, especially focusing on eyes and lighting. Overall, these models offer a range of capabilities for generating realistic and visually appealing images.
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Source link: https://medium.com/@aimwia/20-best-stable-diffusion-models-list-you-should-try-in-2024-35238fdfca59?source=rss——stable_diffusion-5
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Top 5 Stable Diffusion Models to Try in 2024 #MachineLearning
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