Dec. 10, 2023, 12:14 p.m. | /u/nivter

Machine Learning

HF is a great place to play with transformer-based or diffusion models. They have a set of consistent set of APIs that works across a wide range of models. But things go downhill really fast if you want to tweak something or maybe just look under the hood. Some examples:

- `diffusers` did a good job of improving on CompVis's implementation of LDMs and modularizing different components while maintaining the consistency of APIs. But over time the introduction of things …

apis code code quality complexity consistent diffusion diffusion models face good hugging face libraries machinelearning quality readability scaling scaling up set transformer

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