feat: tutorial on static and time-aware quantizrion algorithms - #741
Open
kfachikov wants to merge 2 commits into
Open
feat: tutorial on static and time-aware quantizrion algorithms#741kfachikov wants to merge 2 commits into
kfachikov wants to merge 2 commits into
Conversation
Adds a tutorial showcasing (1) how to apply static and time-aware quantization algorithms to a diffusion pipeline, and (2) compare them against a baseline in bfloat16, as well as dynamic fp8.
|
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
kfachikov
changed the title
kfachikov
marked this pull request as ready for review
September 7, 2026 13:40
sdiazlor
reviewed
Sep 8, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
Adds a tutorial showcasing (1) how to apply the newly added static and time-aware quantization algorithms to a diffusion pipeline, and (2) compare them against a baseline in bfloat16, as well as dynamic fp8.
Type of Change
Checklist
Thanks for contributing to Pruna! We're excited to review your work.
New to contributing? Check out our Contributing Guide for everything you need to get started.