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Stable Diffusion 3.5 applies the permissive Stability AI Community License while commercial enterprises with revenue exceed $1 million need the Stability AI Enterprise License. [99] As with the OpenRAIL-M license, the user retains the rights to their generated output images and is free to use them commercially. [78]
AUTOMATIC1111 Stable Diffusion Web UI (SD WebUI, A1111, or Automatic1111 [3]) is an open source generative artificial intelligence program that allows users to generate images from a text prompt. [4] It uses Stable Diffusion as the base model for its image capabilities together with a large set of extensions and features to customize its output.
Fooocus is an open source generative artificial intelligence program that allows users to generate images from a text prompt. [3] [4] It uses Stable Diffusion as the base model for its image capabilities as well as a collection of default settings and prompts to make the image generation process more streamlined.
In August 2022, the company co-released an improved version of their Latent Diffusion Model called Stable Diffusion together with the CompVis Group at Ludwig Maximilian University of Munich and a compute donation by Stability AI. [14] [15] On December 21, 2022 Runway raised US$50 million [16] in a Series C round.
ComfyUI is an open source, node-based program that allows users to generate images from a series of text prompts.It uses free diffusion models such as Stable Diffusion as the base model for its image capabilities combined with other tools such as ControlNet and LCM Low-rank adaptation with each tool being represented by a node in the program.
Civitai allows users to share and download AI models, particularly those used for image generation. [2] The platform supports various AI models, including Stable Diffusion and Flux, and provides a space for users to showcase and monetize their AI-generated content. [2] [5] Users have profile pages and can comment on other users' models and ...
The LDM is an improvement on standard DM by performing diffusion modeling in a latent space, and by allowing self-attention and cross-attention conditioning. LDMs are widely used in practical diffusion models. For instance, Stable Diffusion versions 1.1 to 2.1 were based on the LDM architecture. [4]
Stable Diffusion 3 (2024-03) [65] changed the latent diffusion model from the UNet to a Transformer model, and so it is a DiT. It uses rectified flow. Stable Video 4D (2024-07) [66] is a latent diffusion model for videos of 3D objects.
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