PyRank
invoke-ai

invokeai

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.
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Verified repo
Monthly downloads
37.2K
Weekly downloads
9.5K
GitHub stars
28.5K

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
6.14.2
Requires Python
<3.13,>=3.11
Licence
Apache License 2.0
Last Release
2 weeks ago
First Release
December 29, 2022
Total Releases
274
Python Versions
3.12
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
92
Adoption
65
Community
80
Provenance
100
How the maintenance status was determined
Last commit
5 days ago
Monthly downloads
37,220
• Active
Activity within 30 days
Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
37,220
Stars
28,544
Stars per 1k downloads
766.90
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
• Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
1,356
Month daily avg
1,241
Momentum
+9.3%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
<3.13,>=3.11
Cutting Edge
Minimum supported version is 3.14 or newer
• Modern
Minimum supported version is 3.11 to 3.13
Legacy
Supports 3.10 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
Apache License 2.0
• Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
18 days ago
Total releases
274
Releases/year
72.1
• Rapid
Last release within 365 days and > 12 releases/year
Regular
Last release within 365 days
Slow
Last release 366-730 days ago
Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
383
Monthly downloads
37,220
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
• Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
65
 
Issue Burden
11.8
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
12.7%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Windows 482
Linux 159
macOS 63

Python Versions

3.12
96.0% 676
3.11
3.6% 25
3.10
0.4% 3

Top Countries

1. US US
338
2. DE DE
66
3. CN CN
62
4. RU RU
41
5. GB GB
33
6. FR FR
31
7. NL NL
30
8. PL PL
29
9. ES ES
27
10. CA CA
26

Weekly Downloads

GitHub Stars

Dependencies

46
33 optional dependencies
  • gprof2dot[dev]
    extra == "dev"
  • httpx[test]
    extra == "test"
  • humanize==4.12.1[test]
    extra == "test"
  • jurigged[dev]
    extra == "dev"
  • mypy[test]
    extra == "test"
  • onnxruntime[onnx]
    extra == "onnx"
  • onnxruntime-directml[onnx-directml]
    extra == "onnx-directml"
  • onnxruntime-gpu[onnx-cuda]
    extra == "onnx-cuda"
  • pip-tools[dist]
    extra == "dist"
  • pipdeptree[dist]
    extra == "dist"
  • polyfactory==2.19.0[test]
    extra == "test"
  • pre-commit[test]
    extra == "test"
  • pudb[dev]
    extra == "dev"
  • pytest>6.0.0[test]
    extra == "test"
  • pytest-cov[test]
    extra == "test"
  • pytest-datadir[test]
    extra == "test"
  • pytest-timeout[test]
    extra == "test"
  • requests-testadapter[test]
    extra == "test"
  • ruff~=0.11.2[test]
    extra == "test"
  • ruff-lsp~=0.0.62[test]
    extra == "test"
  • snakeviz[dev]
    extra == "dev"
  • torch==2.10.0+rocm7.1[rocm]
    (sys_platform == "linux" and platform_machine != "aarch64") and extra == "rocm"
  • torch==2.13.0+xpu[xpu]
    ((sys_platform == "linux" and platform_machine == "x86_64") or sys_platform == "win32") and extra == "xpu"
  • torch==2.7.1+cu128[cuda]
    (sys_platform != "linux" or platform_machine != "aarch64") and extra == "cuda"
  • torch==2.7.1+cpu[cpu]
    (sys_platform != "linux" or platform_machine != "aarch64") and extra == "cpu"
  • torchvision==0.28.0+xpu[xpu]
    ((sys_platform == "linux" and platform_machine == "x86_64") or sys_platform == "win32") and extra == "xpu"
  • torchvision==0.22.1+cpu[cpu]
    (sys_platform != "linux" or platform_machine != "aarch64") and extra == "cpu"
  • torchvision==0.22.1+cu128[cuda]
    (sys_platform != "linux" or platform_machine != "aarch64") and extra == "cuda"
  • torchvision==0.25.0+rocm7.1[rocm]
    (sys_platform == "linux" and platform_machine != "aarch64") and extra == "rocm"
  • triton-rocm==3.6.0[rocm]
    (sys_platform == "linux" and platform_machine != "aarch64") and extra == "rocm"
  • triton-xpu==3.7.2[xpu]
    ((sys_platform == "linux" and platform_machine == "x86_64") or sys_platform == "win32") and extra == "xpu"
  • twine[dist]
    extra == "dist"
  • xformers>=0.0.28.post1[xformers]
    sys_platform != "darwin" and extra == "xformers"

Used By

0
Not used by any tracked packages

Repository details

Forks
3.0K
Issues
338
Last Commit
5 days ago
Contributors
383
Open PRs
59
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
stable-diffusion AI
Sources and methodology