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chengzeyi
stable-fast
Python2023–2023
chengzeyi / stable-fast

stable-fast

https://wavespeed.ai/ Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.

2Distinct people
6Mentions
0Explicit recommenders
1.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

https://wavespeed.ai/ Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week6 dated mentions

Observed mentions: 2023-10-17 10:13:20 UTC to 2023-11-30 07:27:11 UTC. Weeks start Monday, UTC.

0122023-10-16 00:00:00 UTC to 2023-10-23 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsOct 162023-10-23 00:00:00 UTC to 2023-10-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-30 00:00:00 UTC to 2023-11-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-06 00:00:00 UTC to 2023-11-13 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 62023-11-13 00:00:00 UTC to 2023-11-20 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-11-20 00:00:00 UTC to 2023-11-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-27 00:00:00 UTC to 2023-12-04 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsNov 27

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Oct 162023-10-16 00:00:00 UTC2023-10-23 00:00:00 UTC110
Oct 232023-10-23 00:00:00 UTC2023-10-30 00:00:00 UTC000
Oct 302023-10-30 00:00:00 UTC2023-11-06 00:00:00 UTC000
Nov 62023-11-06 00:00:00 UTC2023-11-13 00:00:00 UTC101
Nov 132023-11-13 00:00:00 UTC2023-11-20 00:00:00 UTC202
Nov 202023-11-20 00:00:00 UTC2023-11-27 00:00:00 UTC000
Nov 272023-11-27 00:00:00 UTC2023-12-04 00:00:00 UTC211

What Hacker News says

6 sources
Since I am sending you down the rabbit hole anyway, you should check out stable-fast: https://github.com/chengzeyi/stable-fast It's the most promising "fast" and flexible stable diffusion implementation akin to this paper or vLLM that I know of. It doesn't have as many caveats as other implementations, like AITemplate (which is basically Turing+ and linux only) or torch.compile (basically no support for changing inputs/loras, and super long compilation on every startup/change).
In S-LoRA: Serving Concurrent LoRA Adapters

MAKE YOURSELF AT HOME

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