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@@ -34,11 +34,15 @@ allows for end-to-end fine-tuning with novel loss functions such as the CLAP sco
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  ## Model Details
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  We share three model checkpoints:
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- - ConsistencyTTA directly distilled from a diffusion model;
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- - The above ConsistencyTTA model fine-tuned by optimizing the CLAP score;
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- - The diffusion teacher model from which ConsistencyTTA is distilled.
 
 
 
 
 
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- These model checkpoints can be found on our [Huggingface page](https://huggingface.co/Bai-YT/ConsistencyTTA).
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  After downloading and unzipping the files, place them in the `saved` directory.
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  Please refer to our [GitHub page](https://github.com/Bai-YT/ConsistencyTTA) for usage details.
 
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  ## Model Details
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  We share three model checkpoints:
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+ - [ConsistencyTTA directly distilled from a diffusion model](
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+ https://huggingface.co/Bai-YT/ConsistencyTTA/blob/main/ConsistencyTTA.zip);
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+ - [ConsistencyTTA fine-tuned by optimizing the CLAP score](
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+ https://huggingface.co/Bai-YT/ConsistencyTTA/blob/main/ConsistencyTTA_CLAPFT.zip);
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+ - [The diffusion teacher model from which ConsistencyTTA is distilled](
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+ https://huggingface.co/Bai-YT/ConsistencyTTA/blob/main/LightweightLDM.zip).
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+
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+ The first two models are capable of high-quality single-step text-to-audio generation. Generations are 10 seconds long.
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  After downloading and unzipping the files, place them in the `saved` directory.
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  Please refer to our [GitHub page](https://github.com/Bai-YT/ConsistencyTTA) for usage details.