Stable Diffusion
Open-source AI model that generates images from text prompts, released by Stability AI in 2022.
What is Stable Diffusion?
Stable Diffusion is an open-source AI model that turns text descriptions into images.
It's a latent diffusion model, which means it works by gradually removing noise from a random starting point until it matches your prompt. Unlike closed models, you can run it locally on your own hardware or modify it for specific needs.
Most builders use it through interfaces like Midjourney or Replicate, or run it locally with tools like AUTOMATIC1111 or ComfyUI. It's particularly good for product mockups, marketing visuals, and rapid prototyping of design concepts.
The base model is free and open-source. Stability AI offers commercial licenses and API access. Latest version is SD 3.5, released October 2024.
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How Vibe Coders Use Stable Diffusion
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Related Terms
Computer systems that learn from data and perform tasks that typically require human intelligence, like recognizing patterns and making decisions.
Training a pre-trained AI model on your specific data to make it better at your exact use case without building from scratch.
A trained algorithm that takes inputs (text, images, data) and produces outputs (predictions, classifications, generated content).
The practice of crafting specific instructions to get better outputs from AI models like ChatGPT, Claude, or Gemini.
AI technique that fills in or replaces parts of an image by generating new pixels that match the surrounding context.
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