Tiny 3.96M-parameter TTS now comes with voice and language fine-tuning
b111ue · reddit · 2026-07-27
The creator of Inflect v2 says you can now fine-tune the tiny TTS model on your own voice or language.
Model sizes
- Inflect-Nano-v2: 3,966,721 parameters, 15.97 MB FP32
- Inflect-Micro-v2: 9,356,513 parameters, 37.53 MB FP32
Micro is the better-sounding variant, and the author links the Hugging Face release for it.
What the new toolkit does
- accepts single-speaker recordings and transcripts
- warm-starts Nano or Micro
- resumes training
- inspects held-out output
- exports to PyTorch or ONNX
The author says they tested the full path on Nano, including a real CUDA training step, save/resume, strict PyTorch loading, and ONNX Runtime parity.
Open question
The pipeline works, but cross-language transfer is still unproven. The author has not yet produced a non-English release-quality model and says each run currently creates one fixed voice for one configured language. They’re asking others what usually breaks first when adapting small TTS models to a new language.
More from Multimodal
- ComfyUI adds Comfy MCP so agents can build workflows from prompts — PurzBeats · 2026-07-27
- Higgsfield launches an MCP connector that lets Claude generate images and videos — mhdfaran · 2026-07-27
- GPT Image 2 prompt template targets luxury food ads in ChatGPT — SimplyAnnisa · 2026-07-27
- Video-to-video workflow keeps blocking and camera motion while replacing all three characters — umesh_ai · 2026-07-27
- Reference-driven multimodal generation can use up to 12 files in one pass — AIwithGhotai · 2026-07-27
- ByteDance’s Seedance workflow keeps image generation, video editing, and refinement in one place — AIwithGhotai · 2026-07-27