Awesome-Controllable-T2I-Diffusion-Models
✅ Recently maintainedA collection of resources on controllable generation with text-to-image diffusion models.
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34Forks
+17-day stars
Python · MIT · Last push 2026-11-02
Official repository & installation ↗GitValue · Value evidence
Unscored · Evidence coverage 0%
Provisional rubric; documentation and runtime testing are separate. Missing evidence does not imply low value.
Star history
2025-09-292026-11-03
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| Date | Stars |
|---|---|
| 2026-10-05 | 1,108 |
| 2026-10-06 | 1,108 |
| 2026-10-07 | 1,108 |
| 2026-10-08 | 1,108 |
| 2026-10-09 | 1,108 |
| 2026-10-10 | 1,108 |
| 2026-10-11 | 1,108 |
| 2026-10-12 | 1,108 |
| 2026-10-13 | 1,108 |
| 2026-10-14 | 1,108 |
| 2026-10-15 | 1,108 |
| 2026-10-16 | 1,108 |
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| 2026-10-19 | 1,108 |
| 2026-10-20 | 1,108 |
| 2026-10-21 | 1,108 |
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| 2026-10-23 | 1,108 |
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| 2026-10-26 | 1,110 |
| 2026-10-27 | 1,110 |
| 2026-10-28 | 1,110 |
| 2026-10-29 | 1,111 |
| 2026-10-30 | 1,111 |
| 2026-10-31 | 1,111 |
| 2026-11-01 | 1,111 |
| 2026-11-02 | 1,111 |
| 2026-11-03 | 1,111 |
Get the project
git clone https://github.com/PRIV-Creation/Awesome-Controllable-T2I-Diffusion-Models.gitCloning downloads the source. For dependencies and installation, follow the project README.
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