# clone project git clone https://github.com/atong01/conditional-flow-matching.git cd conditional-flow-matching # [OPTIONAL] create conda environment conda create -n torchcfm python=3.10 conda activate torchcfm # install pytorch according to instructions # https://pytorch.org/get-started/ # ...
TorchCFM: a Conditional Flow Matching library. Contribute to ege-erdogan/conditional-flow-matching development by creating an account on GitHub.
TorchCFM: a Conditional Flow Matching library. Contribute to atong01/conditional-flow-matching development by creating an account on GitHub.
Conditional Variable Flow Matching (CVFM) is a robust extension to Flow Matching for training amortized conditional continuous normalizing flows (CNF). CVFM enables the disentanglement of conditional dynamics from unpaired training data, requiring only an ( x , y ) pair observed at a given time. ...
🍵 Matcha-TTS-2: A fast E2E TTS architecture with conditional flow matching (not fast enough for training yet xD) [x] added experimental E2E TTS support; doing some small training to verify results. Expect me to update this model completely by end of November,23. [x] if anybody willing...
Already on GitHub? Sign in to your account Event generation with Conditional Flow Matching #9 Merged spinjo merged 131 commits into main from event-generation Jun 20, 2024 Merged Event generation with Conditional Flow Matching #9 spinjo merged 131 commits into main from event-generation Jun...
https://github.com/Shark-NLP/DiffuSeq/issues/5 https://github.com/Shark-NLP/DiffuSeq/issues/22 Citation Please add the citation if our paper or code helps you. @inproceedings{HuEACL2024, title = {Flow Matching for Conditional Text Generation in a Few Sampling Steps}, author = {Vincent Ta...
(2) a DiT-based conditional flow matching (CFM) decoder that conditions on these factorized features and voice prompts. Additionally, (3) latent mixup is used to enhance in-context learning by combining various speaker features. This approach improves speaker similarity and naturalness in zero-shot...
We introduce Matcha-TTS, a new encoder-decoder architecture for speedy TTS acoustic modelling, trained using optimal-transport conditional flow matching (OT-CFM). This yields an ODE-based decoder capable of high output quality in fewer synthesis steps than models trained using score matching. Careful...
cdDeFlow#clone the Real-SR repo into the DeFlow foldergit clone https://github.com/Tencent/Real-SR.git#install additional dependencies for Real-SRpip install lmdb ESRGAN Model Validation First you need to download the vaildation datasets with the provided scripts as explained above. ...