- Diffusion models, like Stable Diffusion, learn by gradually adding noise to images and then reversing that process 🎨
- The latent space, compressed representation of images, is key to Stable Diffusion's ability to run on personal computers 🚀
- Denoising strength controls how much the model follows user prompts vs. creating its own ideas💡
- Stable Diffusion can be used for image generation from text prompts (text-to-image) and modifying existing images (image-to-image) 🔄
- Prompt engineering is crucial in shaping the final output of Stable Diffusion ✍️
- SD XL Styles is a free extension that provides diverse artistic styles for Stable Diffusion images 🌈
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