--- title: "Genie-TTS vs dia2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/high-logic-genie-tts-vs-nari-labs-dia2" tools: ["high-logic-genie-tts", "nari-labs-dia2"] --- # Genie-TTS vs dia2 *GraphCanon updated Sep 20, 2026* ## Verdict Pick Genie-TTS when license: Genie-TTS is MIT, dia2 is Apache-2.0; pick dia2 when license: dia2 is Apache-2.0, Genie-TTS is MIT. [Genie-TTS](https://github.com/High-Logic/Genie-TTS) reports 1.8k GitHub stars, 121 forks, and 36 open issues, last pushed Aug 30, 2026. [dia2](https://github.com/nari-labs/dia2) has 1.2k stars, 102 forks, and 5 open issues, last pushed Nov 29, 2025. Figures are from public GitHub metadata via [Genie-TTS's repository](https://github.com/High-Logic/Genie-TTS) and [dia2's repository](https://github.com/nari-labs/dia2). | | [Genie-TTS](/tools/high-logic-genie-tts.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Tagline | GPT-SoVITS ONNX Inference Engine & Model Converter | TTS model capable of streaming conversational audio in real-time. | | Stars | 1,779 | 1,180 | | Forks | 121 | 102 | | Open issues | 36 | 5 | | Language | Python | Python | | Adopt for | Genie-TTS is distinct in its focus on GPT-SoVITS and the ONNX format for text-to-speech applications. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Genie-TTS](/tools/high-logic-genie-tts.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 20d | 295d | | Open issues (now) | 36 | 5 | | Stars delta | +102 (30d) | +20 (30d) | | Open issues delta | +3 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/high-logic-genie-tts/trust.md) | [trust report](/tools/nari-labs-dia2/trust.md) | ## Decision facts: Genie-TTS - **Adopt for:** Genie-TTS is distinct in its focus on GPT-SoVITS and the ONNX format for text-to-speech applications. ## Choose when ### Choose Genie-TTS if… - License: Genie-TTS is MIT, dia2 is Apache-2.0. - Tags unique to Genie-TTS: gpt-sovits, tts, vits, voice-clone. - When you require voice cloning features compatible with GPT-SoVITS models. ### Choose dia2 if… - License: dia2 is Apache-2.0, Genie-TTS is MIT. - Tags unique to dia2: open-weight. - When you need real-time streaming capabilities for text-to-speech applications. ## When NOT to use Genie-TTS - If your application demands support for text-to-speech models that are not based on GPT-SoVITS. - When a comprehensive feature set of tools beyond voice cloning or model conversion is required, Genie-TTS might offer limited functionality compared to more extensive TTS frameworks. ## When NOT to use dia2 - For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required. - If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec. ## Common questions ### What is the difference between Genie-TTS and dia2? Genie-TTS: GPT-SoVITS ONNX Inference Engine & Model Converter. dia2: TTS model capable of streaming conversational audio in real-time.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Genie-TTS over dia2? Choose Genie-TTS over dia2 when License: Genie-TTS is MIT, dia2 is Apache-2.0; Tags unique to Genie-TTS: gpt-sovits, tts, vits, voice-clone; When you require voice cloning features compatible with GPT-SoVITS models. ### When should I choose dia2 over Genie-TTS? Choose dia2 over Genie-TTS when License: dia2 is Apache-2.0, Genie-TTS is MIT; Tags unique to dia2: open-weight; When you need real-time streaming capabilities for text-to-speech applications. ### When should I avoid Genie-TTS? If your application demands support for text-to-speech models that are not based on GPT-SoVITS. When a comprehensive feature set of tools beyond voice cloning or model conversion is required, Genie-TTS might offer limited functionality compared to more extensive TTS frameworks. ### When should I avoid dia2? For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required. If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec. ### Is Genie-TTS or dia2 more popular on GitHub? Genie-TTS has more GitHub stars (1,779 vs 1,180). Stars measure visibility, not whether either tool fits your constraints. ### Are Genie-TTS and dia2 open source? Yes - both are open-source projects on GitHub (Genie-TTS: MIT, dia2: Apache-2.0). ### Where can I find alternatives to Genie-TTS or dia2? GraphCanon lists graph-backed alternatives at [Genie-TTS alternatives](/tools/high-logic-genie-tts/alternatives) and [dia2 alternatives](/tools/nari-labs-dia2/alternatives) ([Genie-TTS markdown twin](/tools/high-logic-genie-tts/alternatives.md), [dia2 markdown twin](/tools/nari-labs-dia2/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/high-logic-genie-tts-vs-nari-labs-dia2.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Genie-TTS or dia2? Genie-TTS: Active. dia2: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Genie-TTS and dia2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Genie-TTS trust report](/tools/high-logic-genie-tts/trust); [dia2 trust report](/tools/nari-labs-dia2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=high-logic-genie-tts`](/api/graphcanon/graph?tool=high-logic-genie-tts) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_