--- title: "metavoice-src vs dia2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/metavoiceio-metavoice-src-vs-nari-labs-dia2" tools: ["metavoiceio-metavoice-src", "nari-labs-dia2"] --- # metavoice-src vs dia2 *GraphCanon updated Sep 20, 2026* ## Verdict Pick metavoice-src when tags unique to metavoice-src: ai, deep-learning, pytorch, speech; pick dia2 when tags unique to dia2: open-weight. [metavoice-src](https://themetavoice.xyz/) reports 4.2k GitHub stars, 689 forks, and 64 open issues, last pushed Jul 30, 2024. [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 [metavoice-src's repository](https://github.com/metavoiceio/metavoice-src) and [dia2's repository](https://github.com/nari-labs/dia2). | | [metavoice-src](/tools/metavoiceio-metavoice-src.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Tagline | Foundational model for human-like, expressive TTS | TTS model capable of streaming conversational audio in real-time. | | Stars | 4,207 | 1,180 | | Forks | 689 | 102 | | Open issues | 64 | 5 | | Language | Python | Python | | Adopt for | Metavoice-src is an AI-driven repository focused on producing human-like expressive text-to-speech (TTS) systems using deep learning and PyTorch, with specific requirements such as minimum 12GB GPU VRAM. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [metavoice-src](/tools/metavoiceio-metavoice-src.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 781d | 295d | | Open issues (now) | 64 | 5 | | Stars delta | +4 (30d) | +20 (30d) | | Full report | [trust report](/tools/metavoiceio-metavoice-src/trust.md) | [trust report](/tools/nari-labs-dia2/trust.md) | ## Decision facts: metavoice-src - **Adopt for:** Metavoice-src is an AI-driven repository focused on producing human-like expressive text-to-speech (TTS) systems using deep learning and PyTorch, with specific requirements such as minimum 12GB GPU VRAM. ## Choose when ### Choose metavoice-src if… - Tags unique to metavoice-src: ai, deep-learning, pytorch, speech. - metavoice-src ships Docker support for self-hosted deployment. - When aiming for high-fidelity human-like TTS quality leveraging advanced deep learning approaches ### Choose dia2 if… - Tags unique to dia2: open-weight. - When you need real-time streaming capabilities for text-to-speech applications. - More recently updated (last pushed Nov 29, 2025). ## When NOT to use metavoice-src - For users lacking a GPU with at least 12GB VRAM - Without Python version 3.10 to 3.12, metavoice-src might not function properly ## 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 metavoice-src and dia2? metavoice-src: Foundational model for human-like, expressive TTS. 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 metavoice-src over dia2? Choose metavoice-src over dia2 when Tags unique to metavoice-src: ai, deep-learning, pytorch, speech; metavoice-src ships Docker support for self-hosted deployment; When aiming for high-fidelity human-like TTS quality leveraging advanced deep learning approaches. ### When should I choose dia2 over metavoice-src? Choose dia2 over metavoice-src when Tags unique to dia2: open-weight; When you need real-time streaming capabilities for text-to-speech applications; More recently updated (last pushed Nov 29, 2025). ### When should I avoid metavoice-src? For users lacking a GPU with at least 12GB VRAM Without Python version 3.10 to 3.12, metavoice-src might not function properly ### 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 metavoice-src or dia2 more popular on GitHub? metavoice-src has more GitHub stars (4,207 vs 1,180). Stars measure visibility, not whether either tool fits your constraints. ### Are metavoice-src and dia2 open source? Yes - both are open-source projects on GitHub (metavoice-src: Apache-2.0, dia2: Apache-2.0). ### Where can I find alternatives to metavoice-src or dia2? GraphCanon lists graph-backed alternatives at [metavoice-src alternatives](/tools/metavoiceio-metavoice-src/alternatives) and [dia2 alternatives](/tools/nari-labs-dia2/alternatives) ([metavoice-src markdown twin](/tools/metavoiceio-metavoice-src/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/metavoiceio-metavoice-src-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, metavoice-src or dia2? metavoice-src: Dormant. 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 metavoice-src and dia2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [metavoice-src trust report](/tools/metavoiceio-metavoice-src/trust); [dia2 trust report](/tools/nari-labs-dia2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=metavoiceio-metavoice-src`](/api/graphcanon/graph?tool=metavoiceio-metavoice-src) - 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/_