Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
C-Rank Grade: A (Welcoming) - 57/100
External PR Merge Rate: 62%
Response Time: 3d
First Timer Success: 46%
invoke-ai/InvokeAI has a recorded first-timer success rate of 46.2%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in invoke-ai/InvokeAI respond to incoming external pull requests in approximately 71.8 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.
The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 56.6 places invoke-ai/InvokeAI in the A tier.
The external contributor pull request merge rate for invoke-ai/InvokeAI is 61.9%, based on public PR activity from non-core contributors.
invoke-ai/InvokeAI currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
Balanced & professional review environment in invoke-ai/InvokeAI. Maintains strict focus on technical quality and test standards.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/invoke-ai/InvokeAI?utm_source=github&utm_medium=badge)
Historical health & responsiveness evolution
External PR acceptance
First PR success rate
50% receive response in
90% receive response in
Maintainer review activity heatmap & prime window prediction
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Detected: UTC
Maintainers are most responsive around 01:00 UTC (01:00 UTC in your timezone). Recommended submission window is Wednesday - Friday from 23:00 to 03:00 UTC (23:00 - 03:00 UTC local).
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~47 hours (77% approval). Large PRs (>500 lines) take ~345 hours (28% approval). Keep your diff compact for rapid review.
Is there an existing issue for this? I have searched the existing issues Contact Details No response What should this feature add? I've downloaded quite a few LoRA models for poses and characters, before i figured out you can add the prompts directly to the LoRA itself to easily add them in the prompt box. So i thought that it would be much nicer if the models i downloaded from Civitai could automatically populate itself with the exact name it had on the website and also populate itself with the trigger words listed on the website. To avoid manually doing it all because the loras are named after the file name, which is often not name it was given on the website. Another thing that i would like is being able to group the loras. Currently i'm "grouping" them by just prefixing them with something like "Pinup - " or "Character - " So having an expandable box in the LoRa picker to easily go right to whatever group i made would be awesome. Lastly, I think color coding the LoRa and their c
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When evaluating whether to contribute to invoke-ai/InvokeAI, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.
Currently, maintainers of invoke-ai/InvokeAI acknowledge new external contributions in approximately 2 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 61.9% were successfully merged into the primary branch.
invoke-ai/InvokeAI has a recorded first-timer success rate of 46.2%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~2 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 56.6 places invoke-ai/InvokeAI in the Welcoming tier.
The external pull request merge rate is 61.9%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Yes, invoke-ai/InvokeAI currently has 1 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.
All metrics displayed for invoke-ai/InvokeAI are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.