Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.
Automate the evaluation of image and video generation models to compare their performance quickly.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeBenchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.
DreamLayer has 411 stars on GitHub. It has been forked 205 times. DreamLayer is written mainly in Python. It has been in active development since 2025. DreamLayer is available under the GPL-3.0 license. Its main topics are benchmarking, diffusion-models, evaluation-metrics, generative-ai.
Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.
DreamLayer is an open-source project. It is released under the GPL-3.0 license.
Yes. DreamLayer is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
DreamLayer is available under the GPL-3.0 license.
DreamLayer is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/thedesignfounder-dreamlayer.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.