--- title: "dia vs Kokoro-FastAPI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nari-labs-dia-vs-remsky-kokoro-fastapi" tools: ["nari-labs-dia", "remsky-kokoro-fastapi"] --- # dia vs Kokoro-FastAPI *GraphCanon updated Sep 20, 2026* ## Verdict 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; pick Kokoro-FastAPI if kokoro-FastAPI is a Dockerized wrapper for the Kokoro-82M text-to-speech model using FastAPI. It supports multi-language capability and provides prebuilt images for various hardware types. [dia](https://github.com/nari-labs/dia) reports 19k GitHub stars, 1.7k forks, and 91 open issues, last pushed Nov 19, 2025. [Kokoro-FastAPI](https://github.com/remsky/Kokoro-FastAPI) has 5.5k stars, 902 forks, and 13 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [dia's repository](https://github.com/nari-labs/dia) and [Kokoro-FastAPI's repository](https://github.com/remsky/Kokoro-FastAPI). | | [dia](/tools/nari-labs-dia.md) | [Kokoro-FastAPI](/tools/remsky-kokoro-fastapi.md) | | --- | --- | --- | | Tagline | A TTS model for generating ultra-realistic dialogue | Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model | | Stars | 19,400 | 5,461 | | Forks | 1,690 | 902 | | Open issues | 91 | 13 | | Language | Python | Python | | Adopt for | Dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. | Kokoro-FastAPI is a Dockerized wrapper for the Kokoro-82M text-to-speech model using FastAPI. It supports multi-language capability and provides prebuilt images for various hardware types. | | 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._ | | [dia](/tools/nari-labs-dia.md) | [Kokoro-FastAPI](/tools/remsky-kokoro-fastapi.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 304d | 10d | | Open issues (now) | 91 | 13 | | Stars delta | +39 (30d) | +196 (30d) | | Open issues delta | 0 (30d) | -96 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/nari-labs-dia/trust.md) | [trust report](/tools/remsky-kokoro-fastapi/trust.md) | ## 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. ## Decision facts: Kokoro-FastAPI - **Requirements:** Min 4 GB RAM; Requires Docker; Hardware-specific Docker images are provided for CUDA, ROCm (experimental), and CPU support.; Users without supported GPUs can still utilize the service via a CPU image. - **Adopt for:** Kokoro-FastAPI is a Dockerized wrapper for the Kokoro-82M text-to-speech model using FastAPI. It supports multi-language capability and provides prebuilt images for various hardware types. ## Choose when ### Choose dia if… - Tags unique to dia: dialogue-generation, tts. - When you require precise control over voice and script in the creation of highly realistic dialogues - More GitHub stars (19k vs 5.5k) - visibility, not fit. ### Choose Kokoro-FastAPI if… - Requirements: Min 4 GB RAM; Requires Docker; Hardware-specific Docker images are provided for CUDA, ROCm (experimental), and CPU support.; Users without supported GPUs can still utilize the service via a CPU image.. - Tags unique to Kokoro-FastAPI: docker, fastapi, kokoro tts, multi-gpu support. - You require a solution that can auto-download models and run natively on Apple Silicon (MPS) with support via UV. ## 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 ## When NOT to use Kokoro-FastAPI - If your hardware is not supported by the provided Docker images, for example, if you do not have a compatible NVIDIA, AMD GPU or CPU setup. - You are looking for non-Dockerized solutions. Kokoro-FastAPI focuses on containerization and might not fit environments that strictly avoid containers. ## Common questions ### What is the difference between dia and Kokoro-FastAPI? dia: A TTS model for generating ultra-realistic dialogue. Kokoro-FastAPI: Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model. See the comparison table for live GitHub stats and shared categories. ### When should I choose dia over Kokoro-FastAPI? Choose dia over Kokoro-FastAPI when Tags unique to dia: dialogue-generation, tts; When you require precise control over voice and script in the creation of highly realistic dialogues; More GitHub stars (19k vs 5.5k) - visibility, not fit. ### When should I choose Kokoro-FastAPI over dia? Choose Kokoro-FastAPI over dia when Requirements: Min 4 GB RAM; Requires Docker; Hardware-specific Docker images are provided for CUDA, ROCm (experimental), and CPU support.; Users without supported GPUs can still utilize the service via a CPU image.; Tags unique to Kokoro-FastAPI: docker, fastapi, kokoro tts, multi-gpu support; You require a solution that can auto-download models and run natively on Apple Silicon (MPS) with support via UV. ### 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 ### When should I avoid Kokoro-FastAPI? If your hardware is not supported by the provided Docker images, for example, if you do not have a compatible NVIDIA, AMD GPU or CPU setup. You are looking for non-Dockerized solutions. Kokoro-FastAPI focuses on containerization and might not fit environments that strictly avoid containers. ### Is dia or Kokoro-FastAPI more popular on GitHub? dia has more GitHub stars (19,400 vs 5,461). Stars measure visibility, not whether either tool fits your constraints. ### Are dia and Kokoro-FastAPI open source? Yes - both are open-source projects on GitHub (dia: Apache-2.0, Kokoro-FastAPI: Apache-2.0). ### Where can I find alternatives to dia or Kokoro-FastAPI? GraphCanon lists graph-backed alternatives at [dia alternatives](/tools/nari-labs-dia/alternatives) and [Kokoro-FastAPI alternatives](/tools/remsky-kokoro-fastapi/alternatives) ([dia markdown twin](/tools/nari-labs-dia/alternatives.md), [Kokoro-FastAPI markdown twin](/tools/remsky-kokoro-fastapi/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/nari-labs-dia-vs-remsky-kokoro-fastapi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dia or Kokoro-FastAPI? dia: Slowing. Kokoro-FastAPI: Active. 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 dia and Kokoro-FastAPI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dia trust report](/tools/nari-labs-dia/trust); [Kokoro-FastAPI trust report](/tools/remsky-kokoro-fastapi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nari-labs-dia`](/api/graphcanon/graph?tool=nari-labs-dia) - 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/_