A trained model used to linearly project the hidden-states from the text encoder model and the start and
end seconds. The projected hidden-states from the encoder and the conditional seconds are concatenated to
give the input to the transformer model.
tokenizer ([`~transformers.T5Tokenizer`]):
Tokenizer to tokenize text for the frozen text-encoder.
transformer ([`StableAudioDiTModel`]):
A `StableAudioDiTModel` to denoise the encoded audio latents.
scheduler ([`EDMDPMSolverMultistepScheduler`]):