Parti (text-to-image model)
Parti (Pathways Autoregressive Text-to-Image) is a text-to-image generation model from Google Research that produces images from natural-language descriptions by treating the task as a sequence-to-sequence…
Image Generation
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Showing 61-84 of 84 articles
Photoroom
Photoroom is an AI-powered photo editing platform headquartered in Paris, France, specializing in background removal, product photography, and generative image editing.
Playground AI
Playground AI (now branded simply as Playground) is an AI image generation and graphic design platform founded by Suhail Doshi in 2022.
Qwen-Image-3.0
Qwen-Image-3.0 is a text-to-image foundation model announced by Alibaba's Qwen team on July 21, 2026, as the third generation of the Qwen-Image series .
Recraft AI
Recraft AI is an AI image generation platform built for professional designers, creative teams, and brand-focused workflows.
Recraft V3
Recraft V3 is a text-to-image generation model developed by Recraft AI and released on October 30, 2024, that became the first model to reach the number-one position on the Artificial Analysis Text-to-Image…
Reve Image
Reve Image is a family of text-to-image generative models developed by Reve AI, Inc., a Palo Alto, California startup, whose current flagship, Reve 2.0 (released 3 June 2026)
Robin Rombach
Robin Rombach is a German computer scientist and entrepreneur best known as the lead author of the latent diffusion models paper that underpins Stable Diffusion
Runwayml/stable-diffusion-v1-5 model
Runwayml/stable-diffusion-v1-5 is the Hugging Face repository name of the Stable Diffusion v1.5 checkpoint, a text-to-image latent diffusion model published on October 20
SDXL (Stable Diffusion XL)
SDXL, short for Stable Diffusion XL, is an open-weights latent text-to-image diffusion model released by Stability AI on 26 July 2023, built around a 2.6 billion parameter U-Net backbone, two text encoders…
Seedream
Seedream is a series of text-to-image and image-editing foundation models built by the Seed research team at ByteDance, the company behind TikTok and Douyin.
Seedream 4.0
Seedream 4.0 is a unified image generation and editing model built by the Seed team at ByteDance.
Seedream 5.0
Seedream 5.0 is a text-to-image generation model developed by ByteDance, released in February 2026 as the fifth major version of the company's Seedream line.
Stability AI
Stability AI is a generative artificial intelligence company best known for helping fund and release the Stable Diffusion family of image models.
Stable Diffusion
Stable Diffusion is a family of generative image models that can synthesize and edit images from text and other conditions.
Stable Diffusion 3
Stable Diffusion 3 (SD3) is a family of text-to-image diffusion models developed by Stability AI, first announced as an early preview on February 22, 2024, and built on a new architecture called the Multimodal…
Stable Diffusion 3.5
Stable Diffusion 3.5 (SD 3.5) is a family of open-weights text-to-image diffusion models released by Stability AI on October 22, 2024, comprising three variants: Stable Diffusion 3.5 Large (8.1 billion…
StyleGAN
StyleGAN is a family of style-based generative adversarial network (GAN) architectures developed by NVIDIA Research for high-quality unconditional image synthesis
Topaz Labs
Topaz Labs is a software company headquartered in Dallas, Texas, that develops AI-powered tools for photo and video enhancement, best known for Gigapixel, Photo AI, Video AI, and its Bloom and Project…
Training AI to Paint with Code
Training AI to Paint with Code is an experimental AI art project published by designer and researcher Surya Narreddi in March 2026.
Unstable Diffusion
Unstable Diffusion is a Discord community and affiliated commercial platform, operated by the company Equilibrium AI
Whisk (Google Labs)
Whisk is an experimental generative-AI tool from Google Labs that lets people create images by feeding it other images rather than long written prompts.
Würstchen
Würstchen is an efficient three-stage cascaded latent diffusion architecture for text-to-image synthesis introduced by Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher J. Pal
pix2pix
pix2pix is a supervised image-to-image translation method that learns a mapping between two visual domains from aligned input-output image pairs.