DreamLayer-Eval
Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.
Evaluate and compare image and video generation models quickly and consistently with automated testing tools.
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Free · no card · unsubscribe anytimeBenchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.
DreamLayer-Eval has 411 stars on GitHub. It has been forked 204 times. DreamLayer-Eval is written mainly in Python. It has been in active development since 2025. DreamLayer-Eval is available under the GPL-3.0 license. Its main topics are benchmarking, diffusion-models, evaluation-metrics, generative-ai.
What is DreamLayer-Eval?
Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.
Is DreamLayer-Eval open source?
DreamLayer-Eval is an open-source project. It is released under the GPL-3.0 license.
Is DreamLayer-Eval free?
Yes. DreamLayer-Eval 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.
What license does DreamLayer-Eval use?
DreamLayer-Eval is available under the GPL-3.0 license.
What language is DreamLayer-Eval written in?
DreamLayer-Eval is written mainly in Python.
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