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Paella
Model/Pipeline/Scheduler description
Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces
abs: https://arxiv.org/abs/2211.07292 github: https://github.com/dome272/Paella
t2i model requiring less than 10 steps to sample high-fidelity images
Open source status
- [X] The model implementation is available
- [X] The model weights are available (Only relevant if addition is not a scheduler).
Provide useful links for the implementation
https://github.com/dome272/Paella/issues/2
Anybody in the community interested in adding the model ?