sdkit
sdkit (stable diffusion kit) is an easy-to-use library for using Stable Diffusion in your AI Art projects. It is fast, feature-packed, and memory-efficient. It bundles Stable Diffusion along with commonly-used features (like SDXL, ControlNet, LoRA, Embeddings, GFPGAN, RealESRGAN, k-samplers, custom VAE etc). It also includes a model-downloader with a database of commonly used models, and advanced features like running in parallel on multiple GPUs, auto-scanning for malicious models etc.
- Latest release
- Apr 24, 2026
- Releases
- 240
- Known CVEs
- 0
- First release
- Dec 23, 2022
- License
- MIT
Repository
Source
- Stars
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- Forks
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- Open issues
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Security score
No OpenSSF Scorecard available for this repository.
Packages from this repo
No other tracked packages from this repository.
Insights
Activity
- Total releases
- 240
- Last 12 months
- 4
- Cadence
- ~daily
- Dependencies
- 17
Releases per month
last 12 monthsRelease mix
- major 1
- minor 1
- patch 237
240
releases
Dependencies
Depends on
2.1.1-
accelerate
==0.23.0
-
compel
==2.0.1
-
controlnet-aux
==0.0.6
-
diffusers
==0.28.2
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gfpgan
-
huggingface-hub
==0.21.4
-
invisible-watermark
==0.2.0
-
k-diffusion
==0.0.12
-
numpy
<2
-
picklescan
1–10 of 17
Used by
Nothing tracked depends on this yet.
Releases
| Version | Released | |
|---|---|---|
2.1.1
patch
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2.1.0
minor
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2.0.15.18
patch
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2.0.22.9
patch
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2.0.15.17
patch
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2.0.22.8
patch
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2.0.15.16
patch
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2.0.22.7
patch
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2.0.15.15
patch
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2.0.22.6
patch
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2.0.15.14
patch
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2.0.22.5
patch
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2.0.15.13
patch
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2.0.22.4
patch
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2.0.22.3
patch
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2.0.15.12
patch
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2.0.15.11
patch
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2.0.22.2
patch
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2.0.15.10
patch
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2.0.15.9
patch
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1–20 of 240