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2. Flux (text-to-image model) - Wikipedia

   en.wikipedia.org/wiki/Flux_(text-to-image_model)

   Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.

3. Stable Diffusion - Wikipedia

   en.wikipedia.org/wiki/Stable_Diffusion

   Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom.

4. NovelAI - Wikipedia

   en.wikipedia.org/wiki/NovelAI

   For AI art generation, which generates images from text prompts, NovelAI uses a custom version of the source-available Stable Diffusion [2] [14] text-to-image diffusion model called NovelAI Diffusion, which is trained on a Danbooru-based [5] [1] [15] [16] dataset. NovelAI is also capable of generating a new image based on an existing image. [17]

5. Stability AI - Wikipedia

   en.wikipedia.org/wiki/Stability_AI

   Stability AI Ltd [1] is a UK-based artificial intelligence company, best known for its text-to-image model Stable Diffusion. History and founding Stability AI was founded in 2019 by Emad Mostaque and by Cyrus Hodes .

6. What is DeepSeek? How a small Chinese startup shook up the AI ...

   www.aol.com/deepseek-small-chinese-startup-shook...

   The startup says the model outperforms Stability AI’s Stable Diffusion and OpenAI’s DALL-E 3, two models that also generate images based on text prompts. (This story has been updated with new ...

7. Diffusion model - Wikipedia

   en.wikipedia.org/wiki/Diffusion_model

   Stable Diffusion (2022-08), released by Stability AI, consists of a denoising latent diffusion model (860 million parameters), a VAE, and a text encoder. The denoising network is a U-Net, with cross-attention blocks to allow for conditional image generation.