Stable Diffusion is a diffusion model, meaning it learns to generate images by gradually removing noise from a very noisy image.
. For example, it can be used to create virtual laboratories for science students. It could also be used to create interactive textbooks and much more engaging teaching methodologies.Until now, marketing used a"one-size-fits-all" strategy. Image-to-text can help create hyper-personalized campaigns, such as potentially featuring images of consumers themselves in advertisements.With open-source models, users can download and finetune Stable Diffusion models for their needs.
• To build the proof of concept, use code available under permissive open-source licensing. DefTest the Stable Diffusion-based work in Stable Diffusion WebUI provided by AUTOMATIC1111. This is like a testing environment for Stable Diffusion-based work. • Ensure training images include diverse races, ethnicities and genders to prevent inherent biases in the output.like fingers, ears, hairs, differences in eyes, etc., with custom training.
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