🪴 jaden lorenc

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stable diffusion

Last updated Feb 8, 2024 Edit Source

2024-02-05

It’s a technique based on denoising diffusion, where images are put into a latent space before being worked on, then the model is trained to iteratively remove random noise from images. Eventually, we can give it pure tv static and it will give a realistic image. Add in a CLIP embedding that comes from the text description of the image as a hint during training, and we can type in our own prompts along with the tv static to influence what’s created.