--- title: "dc_tts vs dia" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-nari-labs-dia" tools: ["kyubyong-dc-tts", "nari-labs-dia"] --- # dc_tts vs dia *GraphCanon updated Jul 30, 2026* ## Verdict Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick dia if dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [dia](https://github.com/nari-labs/dia) has 19k stars, 1.7k forks, and 91 open issues, last pushed Nov 19, 2025. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [dia's repository](https://github.com/nari-labs/dia). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [dia](/tools/nari-labs-dia.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | A TTS model for generating ultra-realistic dialogue | | Stars | 1,156 | 19,361 | | Forks | 360 | 1,688 | | Open issues | 68 | 91 | | Language | Python | Python | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | Dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. | | 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._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [dia](/tools/nari-labs-dia.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1203d | 251d | | Open issues (now) | 68 | 91 | | Owner type | User | Organization | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/nari-labs-dia/trust.md) | ## Decision facts: dc_tts - **Requirements:** Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy. - **Adopt for:** dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ## Decision facts: dia - **Adopt for:** Dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. ## Choose when ### Choose dc_tts if… - Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy.. - Tags unique to dc_tts: speech, speech-to-text, tensorflow. - dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### Choose dia if… - Tags unique to dia: dialogue-generation, text-to-speech. - When you require precise control over voice and script in the creation of highly realistic dialogues - More GitHub stars (19k vs 1.2k) - visibility, not fit. ## When NOT to use dc_tts - Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. ## When NOT to use dia - If your setup lacks a GPU, as Dia has not yet added CPU support - In scenarios where immediate real-time performance is critical since the first run could be longer due to additional codec downloads ## Common questions ### What is the difference between dc_tts and dia? dc_tts: A TensorFlow Implementation of DC-TTS. dia: A TTS model for generating ultra-realistic dialogue. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over dia? Choose dc_tts over dia when Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy.; Tags unique to dc_tts: speech, speech-to-text, tensorflow; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### When should I choose dia over dc_tts? Choose dia over dc_tts when Tags unique to dia: dialogue-generation, text-to-speech; When you require precise control over voice and script in the creation of highly realistic dialogues; More GitHub stars (19k vs 1.2k) - visibility, not fit. ### When should I avoid dc_tts? Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. ### When should I avoid dia? If your setup lacks a GPU, as Dia has not yet added CPU support In scenarios where immediate real-time performance is critical since the first run could be longer due to additional codec downloads ### Is dc_tts or dia more popular on GitHub? dia has more GitHub stars (19,361 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and dia open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, dia: Apache-2.0). ### Where can I find alternatives to dc_tts or dia? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [dia alternatives](/tools/nari-labs-dia/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [dia markdown twin](/tools/nari-labs-dia/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/kyubyong-dc-tts-vs-nari-labs-dia.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or dia? dc_tts: Dormant. dia: 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 dc_tts and dia? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [dia trust report](/tools/nari-labs-dia/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kyubyong-dc-tts`](/api/graphcanon/graph?tool=kyubyong-dc-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/_