Skip to content

mikonvergence/ControlNetInpaint

View on GitHub ↗Related repositories →

Inpaint images with ControlNet

Jupyter Notebook · active 2023-10-262026-03-01 (UTC)

Partial coverage19,121 / 24,624 hourly files (78%) · 2 absent upstream · 5,500 failed, retryable2023-10-212026-08-12 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
118
Pushes
0
Pull requests
1
Issues
5
Stars
90
Forks
10

Activity over time

Daily event counts in the loaded window

Line chart, 858 days from 2023-10-26 to 2026-03-01. Pushes: 0 total, peak 0 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 5 total, peak 2 in a day. Comments: 12 total, peak 3 in a day. Stars: 90 total, peak 2 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
mikonvergence11018
swim2sun3001
jiangyuhangcn2001
hosnasn19871001
FeiyanWu91001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#6FeiyanWu92024-08-18 06:36
    MultiControlNet support?
  • Issue comment#23mikonvergence2024-07-11 21:00
    Updated ControlNet-with-Inpaint-Demo-colab.ipynb with diffusers==0.29.0 and changed HEDdetector pretrained model
  • Pull request#23mikonvergence2024-07-11 21:00
  • Issue comment#23mikonvergence2024-06-18 04:39
    Updated ControlNet-with-Inpaint-Demo-colab.ipynb with diffusers==0.29.0 and changed HEDdetector pretrained model
  • Issue#22mikonvergence2024-05-10 07:47
    About Training
  • Issue comment#22jiangyuhangcn2024-05-10 07:15
    About Training
  • Issue comment#22mikonvergence2024-05-10 06:29
    About Training
  • Issue#22jiangyuhangcn2024-05-10 06:04
    About Training
  • Issue#20swim2sun2023-11-14 16:43
    About 'strength' Parameter in StableDiffusionControlNetInpaintPipeline Compared to StableDiffusionInpaintPipeline
  • Issue comment#20swim2sun2023-11-14 16:43
    About 'strength' Parameter in StableDiffusionControlNetInpaintPipeline Compared to StableDiffusionInpaintPipeline
  • Issue comment#20mikonvergence2023-11-13 07:32
    About 'strength' Parameter in StableDiffusionControlNetInpaintPipeline Compared to StableDiffusionInpaintPipeline
  • Issue#20swim2sun2023-11-12 15:16
    About 'strength' Parameter in StableDiffusionControlNetInpaintPipeline Compared to StableDiffusionInpaintPipeline
  • Issue comment#19mikonvergence2023-10-27 09:40
    can i fine tune your inpaint model with my dataset?
  • Issue#19mikonvergence2023-10-27 09:40
    can i fine tune your inpaint model with my dataset?
  • Issue comment#19hosnasn19872023-10-27 09:08
    can i fine tune your inpaint model with my dataset?
  • Issue comment#18mikonvergence2023-10-26 05:52
    The size of tensor a (612) must match the size of tensor b (3) at non-singleton dimension 4
  • Issue comment#17mikonvergence2023-10-26 05:50
    Controlnet 1.1 preprocessors
  • Issue comment#19mikonvergence2023-10-26 05:49
    can i fine tune your inpaint model with my dataset?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 90 stars here means stars gained during the window, not the repo's star count.