A quick visual guide to what's actually happening when you generate an image with Stable Diffusion

• course22p2

  6 431 0.0 Jupyter Notebook

  course.fast.ai 2022 part 2

  

To me the most important bit is that the diffusion loop turns a noisy latent into an image, does that iteratively, and uses "guidance" in the form of a prompt/controlnet image/etc to do it. The scheduler part, I felt, was needlessly complex for this short explainer, so I hand-wave it away. IF someone wants to dive in deeper, much deeper, they can go through the same thing I'm doing, which is this: https://course.fast.ai/Lessons/part2.html

• latentblending

  17 317 8.7 Python

  Create butter-smooth transitions between prompts, powered by stable diffusion

  

So it ought to be pretty easy to implement latent blending on source and target images which were not generated by SD?

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• StableDiffusion-By-Parts

  4 8 3.0

  Slice and dice the Stable Diffusion pipeline, saving to a TIFF file in between sections.

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