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[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

Python · active 2024-06-112026-03-07 (UTC)

Complete coverage26,490 / 26,490 hourly files (100%) · 2 absent upstream2023-08-152026-08-22 (UTC)
Events
260
Pushes
19
Pull requests
0
Issues
14
Stars
196
Forks
15

Activity over time

Daily event counts in the loaded window

Line chart, 635 days from 2024-06-11 to 2026-03-07. Pushes: 19 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 14 total, peak 2 in a day. Comments: 15 total, peak 4 in a day. Stars: 196 total, peak 27 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
czg12253219010
KylinC3001
ChuRuaNh03002
libai-lab2000
fairchildfzc2001
Steaunk1000
echosyy1000
softyoda1000
zhou-linpeng1000
chaochaobar1001
MeiYi-dev1000

Recent activity

Latest issues, pull requests and releases

  • Issue#11MeiYi-dev2025-04-25 14:19
    This can greatly reduce the inference time of recent SOTA video models like Wan2.1. Any plans to support video models?
  • Issue comment#9chaochaobar2025-04-02 02:44
    about FLUX.1
  • Issue comment#10KylinC2024-12-05 07:24
    Are There Redundant Calculations?
  • Issue#10KylinC2024-12-05 07:24
    Are There Redundant Calculations?
  • Issue comment#10czg12252024-12-05 05:54
    Are There Redundant Calculations?
  • Issue#10KylinC2024-12-05 02:18
    Are There Redundant Calculations?
  • Issue#9echosyy2024-10-09 03:05
    about FLUX.1
  • Issue comment#8czg12252024-08-14 14:11
    pipe for img2img
  • Issue#7softyoda2024-07-18 13:39
    (Feature request?) async anything
  • Issue comment#6fairchildfzc2024-07-09 23:46
    Clarification Needed on Diffusion Process
  • Issue#2czg12252024-07-08 12:00
    Can it be used together with ip adapter+controllnet? Can hyper-sd acceleration be used
  • Issue comment#6czg12252024-07-08 06:45
    Clarification Needed on Diffusion Process
  • Issue#6fairchildfzc2024-07-06 00:12
    Clarification Needed on Diffusion Process
  • Issue#5czg12252024-06-26 05:50
    Seeking Opportunities for Further Cooperation
  • Issue comment#4czg12252024-06-25 07:32
    splite_mode, pipe_id for "RunDiffusion/Juggernaut-X-v10"
  • Issue comment#4ChuRuaNh02024-06-25 07:24
    splite_mode, pipe_id for "RunDiffusion/Juggernaut-X-v10"
  • Issue comment#5czg12252024-06-25 06:59
    Seeking Opportunities for Further Cooperation
  • Issue comment#4czg12252024-06-25 06:56
    splite_mode, pipe_id for "RunDiffusion/Juggernaut-X-v10"
  • Issue#5Steaunk2024-06-24 13:02
    Seeking Opportunities for Further Cooperation
  • Issue comment#4ChuRuaNh02024-06-24 10:51
    splite_mode, pipe_id for "RunDiffusion/Juggernaut-X-v10"
  • Issue#4ChuRuaNh02024-06-24 10:49
    splite_mode, pipe_id for "RunDiffusion/Juggernaut-X-v10"
  • Issue comment#2czg12252024-06-18 07:33
    Can it be used together with ip adapter+controllnet? Can hyper-sd acceleration be used
  • Issue comment#3czg12252024-06-18 06:42
    Does it only support multiple devices and not support acceleration for a single device? I reported an error when using Colab in Controlnet and IP adapter
  • Issue comment#2czg12252024-06-18 06:39
    Can it be used together with ip adapter+controllnet? Can hyper-sd acceleration be used
  • Issue#3libai-lab2024-06-17 12:02
    Does it only support multiple devices and not support acceleration for a single device? I reported an error when using Colab in Controlnet and IP adapter

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 196 stars here means stars gained during the window, not the repo's star count.