LFM
Official PyTorch implementation of the paper: Flow Matching in Latent Space
Train generative models using a new method that simplifies the process.
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Free · no card · unsubscribe anytimeOfficial PyTorch implementation of the paper: Flow Matching in Latent Space
LFM has 356 stars on GitHub. It has been forked 22 times. LFM is written mainly in Python. It has been in active development since 2023. LFM is available under the AGPL-3.0 license. Its main topics are conditional-normalizing-flows, diffusion-models, flow-matching, generative-models.
What is LFM?
Official PyTorch implementation of the paper: Flow Matching in Latent Space
Is LFM open source?
LFM is an open-source project. It is released under the AGPL-3.0 license.
Is LFM free?
Yes. LFM is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.
What license does LFM use?
LFM is available under the AGPL-3.0 license.
What language is LFM written in?
LFM is written mainly in Python.
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