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Prompt sr stable diffusion

Magic Prompt. Using Gustavosta's MagicPrompt model, automatically generate neww prompts from the input. Trained on 80,000 prompts from Lexica.art, it can help give you interesting new prompts on a given subject. Here are some automatically generated variations for "dogs playing football":.

Attention: there are now several forks of SD that offer web GUI's and can install on Windows in one click (most notably sd-webgui). If you want to run SD programmatically and don't mind some extra steps, read on . Prerequisites # In order to run Stable Diffusion locally on Windows , you will need a Nvidia GPU with at least 8 GB of VRAM and the latest Game Ready drivers. silicon valley representative is urging US national security council and office of science and technology policy to “address the release of unsafe AI models similar in kind to Stable Diffusion using any authorities and methods within your power, including export controls. twitter. 124. 120. r/sdforall..

Nov 07, 2022 · Stable Diffusion (SD) is one of the popular generative AI models among AI enthusiasts and ordinary people. It is the only generative model that is fully open-sourced. Stable Diffusion turns text into images using machine learning algorithms. It also supports the inpainting of generated images..

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2022. 11. 3. · Why_Soooo_Serious • Public Prompts • I'm glad to announce the release of the "Stable Diffusion Prompt Book" organized by openart.ai in collab with PublicPrompts! We've put many hours into making this guide, hopefully you find it useful. Link is in the comments. Stable Diffusion takes two primary inputs and translates these into a fixed point in its model's latent space: A seed integer. A text prompt. The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time. In other words, the following relationship is fixed:.

Stable Diffusion (SD) is one of the popular generative AI models among AI enthusiasts and ordinary people. It is the only generative model that is fully open-sourced. Since it is an open-source model, you can use it on your local computer for free or you can use it in DreamStudio with 200 free generations.

Stable Diffusion supports weighting of prompt keywords. In other words, you can tell it that it really needs to pay attention to a specific keyword (or keywords) and pay less attention to others. It is handy if you're getting results that are kinda what you're looking for, but not quite there.

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