Introducing Parler TTS v1 🔉 - 885M (Mini) & 2.2B (Large) - fully open-source Text-to-Speech models! 🤙 > Trained on 45,000 hours of open speech (datasets released as well) > Upto 4x faster generation thanks to torch compile & static KV cache (compared to previous v0.1 release) https://t.co/xu0wkKP0ai

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Introducing Parler TTS v1 🔉 - 885M (Mini) & 2.2B (Large) - fully open-source Text-to-Speech models! 🤙 > Trained on 45,000 hours of open speech (datasets released as well) > Upto 4x faster generation thanks to torch compile & static KV cache (compared to previous v0.1 release) > Mini trained on a larger text encoder, large trained on both larger text & decoder > Also supports SDPA & Flash Attention 2 for an added speed boost > In-built streaming, we provide a dedicated streaming class optimised for time to the first audio > Better speaker consistency, more than a dozen speakers to choose from or create a speaker description prompt and use that > Not convinced with a speaker? You can fine-tune the model on your dataset (only couple of hours would do) Apache 2.0 licensed codebase, weights and datasets! 🤗 Can't wait to see what y'all would build with this!🫡