TheDesignFounder / DreamLayer-Eval
DreamLayer Eval: open-source benchmarking for image and video diffusion models. Automate prompts, seeds, and metrics for reproducible results. A research project from DreamLayer AI (dreamlayer.io).
Why this job: topics: stable-diffusion, image-generation, diffusion-models
What it does
A local workbench for reproducible image and video evaluation, with an existing ComfyUI generation interface. Research workflows are available at /research.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 11 days ago
- Stars
- 412
- On GitHub
- Licence
- GPL-3.0
- Share-alike terms
- Downloads for
- None listed
- No release files
- Latest tag
- research-1.1.0
- Released 11 days ago
- Built with
- Python
- 83% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 13 merged
- 74 waiting
- Releases
- 1
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| carson-katri / dream-textures | 8,240 | 54 days ago | GPL-3.0 | Mac, Windows |
| bentoml / BentoDiffusion | 390 | yesterday | Apache-2.0 | No downloads |
| receyuki / stable-diffusion-prompt-reader | 1,343 | 5 days ago | MIT | Mac, Windows |
More: languages, topics and project record
Languages
- Python 83%
- TypeScript 14%
- Cuda 1%
- Shell 1%
Topics
- benchmarking
- diffusion-models
- evaluation-metrics
- generative-ai
- image-generation
- stable-diffusion
Project record
- JobImage generation
- StatusListed
- Commits210
- Forks204
- Watching4
- Stars in 28 days0
- CreatedJun 22, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026