Stable Diffusion is a type of latent diffusion model that can generate images from text. It was created by a team of researchers and engineers from CompVis, Stability AI, and LAION. Stable Diffusion v2 is a specific version of the model architecture. It utilizes a downsampling-factor 8 autoencoder with an 865M UNet and OpenCLIP ViT-H/14 text encoder for the diffusion model. When using the SD 2-v model, it produces 768x768 px images. It uses the penultimate text embeddings from a CLIP ViT-H/14 text encoder to condition the generation process.
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Stable Diffusion 3 Medium Text-to-Image (SD3 Medium) is the latest and most advanced addition to the Stable Diffusion family of image-to-image models. SD3 text-to-image Medium is designed to be more resource-efficient, making it a better choice for users with limited computational resources. Due to its smaller size, SD3 Medium can run efficiently on consumer-grade hardware, including consumer PCs and laptops, as well as enterprise-tier GPUs. SD3 Medium is designed to be more resource-efficient, making it a better choice for users with limited computational resources.
SD3 Medium crafts stunningly realistic images, breaking new ground in photorealistic generation. It also tackles intricate prompts with multiple subjects, even if you have a typo or two. SD3 Medium incorporates typography within your images with unparalleled precision, making your message shine.
Fooocus enables high-quality image generation effortlessly, combining the best of Stable Diffusion and Midjourney.
InstantID aims to generate customized images with various poses or styles from only a single reference ID image while ensuring high fidelity
The SDXL model is the official upgrade to the v1.5 model. The model is released as open-source software
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.