scrappylabsai/scrappy-voice-1
Text-to-Speech • Updated • 6
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remixerdec/Inflect-Nano-v1-GGUF
Text-to-Speech • 3.47M • Updated • 382 • 7
Luigi/PrimeTTS
Text-to-Speech • 0.3B • Updated • 330 • 4
remixerdec/Inflect-Nano-v2-GGUF
Text-to-Speech • 3.96M • Updated • 167 • 4
remixerdec/Inflect-Micro-v2-GGUF
Text-to-Speech • 9.34M • Updated • 169 • 4
baidu/Unlimited-OCR
Image-Text-to-Text • 3B • Updated • 2.69M • 3.5k
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This model is really outstanding! The quality of the output when I listened was so good for under 4M. What are you planning on doing next after this model? Are you going to release any follow up for Inflect?
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Introducing Inflect-v2, two exceptionally small, open-weight English TTS models at just 3.9M and 9.3M parameters. Both generate speech multiple times faster than real-time on CPU. Despite their size, Inflect-v2 delivers quality that is competitive with much larger lightweight TTS systems, including KittenTTS, Piper, and Supertonic-3.
CPU, CUDA, PyTorch, and ONNX are supported. Apache 2.0.
See it for yourselves:
owensong/Inflect-Micro-v2
owensong/Inflect-Nano-v2
Try the Demos:
Nymbo/Inflect-TTS (unlimited CPU usage)
owensong/Inflect-v2 (ultra-fast ZeroGPU usage)
CPU, CUDA, PyTorch, and ONNX are supported. Apache 2.0.
See it for yourselves:
owensong/Inflect-Micro-v2
owensong/Inflect-Nano-v2
Try the Demos:
Nymbo/Inflect-TTS (unlimited CPU usage)
owensong/Inflect-v2 (ultra-fast ZeroGPU usage)
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