Home/Compare/hifi-gan vs dia2

Comparison

hifi-gan vs dia2

Verdict

Pick hifi-gan when license: hifi-gan is MIT, dia2 is Apache-2.0; pick dia2 when license: dia2 is Apache-2.0, hifi-gan is MIT.

Markdown twin · hifi-gan alternatives · dia2 alternatives

GraphCanon updated 3w

hifi-gan logo

hifi-gan

jik876/hifi-gan

2.4kpushed Jul 27, 2024
vs
dia2 logo

dia2

nari-labs/dia2

1.2kpushed Nov 29, 2025

Trust & integrity

Signalhifi-gandia2
Maintenance
Dormant (731d since push)
As of 3w · github_public_v1
Slowing (243d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

hifi-gan
Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
dia2
TTS model capable of streaming conversational audio in real-time.

Stars

hifi-gan
2.4k
dia2
1.2k

Forks

hifi-gan
555
dia2
99

Open issues

hifi-gan
111
dia2
5

Language

hifi-gan
Python
dia2
Python

Adopt for

hifi-gan
HiFi-GAN is optimized for generating high-fidelity speech efficiently and supports both training from scratch and fine-tuning with pretrained models.
dia2
-

Persona

hifi-gan
-
dia2
-

Runtime

hifi-gan
-
dia2
-

License

hifi-gan
MIT
dia2
Apache-2.0

Last pushed

hifi-gan
Jul 27, 2024
dia2
Nov 29, 2025

Categories

hifi-gan
Speech & Audio
dia2
Speech & Audio

Trust and health

Maintenance

hifi-gan
Dormant (18%)
dia2
Slowing (36%)

Days since push

hifi-gan
731d
dia2
243d

Open issues (now)

hifi-gan
111
dia2
5

Owner type

hifi-gan
User
dia2
Organization

OSV dependency advisories

hifi-gan
Published findings
dia2
No lockfile (source not queried)

Full report

hifi-gan
Trust report

Choose hifi-gan if…

  • License: hifi-gan is MIT, dia2 is Apache-2.0.
  • Tags unique to hifi-gan: deep-learning, gan, hifi-gan, pytorch.
  • When you require real-time generation capabilities up to 167.9 times faster than real time on a single V100 GPU, or even 13.4 times faster on CPU than real time for the small footprint version

When NOT to use hifi-gan

  • If your application prioritizes sample quality above speed, despite the competitive position of HiFi-GAN in both criteria
  • When the computational resources for running models on a V100 GPU or leveraging the small footprint version's CPU efficiency are not available
  • In scenarios requiring more than just high-fidelity speech synthesis but also complex text-to-speech natural language processing capabilities

Choose dia2 if…

  • License: dia2 is Apache-2.0, hifi-gan is MIT.
  • Tags unique to dia2: open-weight.
  • When you need real-time streaming capabilities for text-to-speech applications.

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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: hifi-gan 2.4k · dia2 1.2k (synced Jul 29, 2026).

Common questions

What is the difference between hifi-gan and dia2?
hifi-gan: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis. 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 hifi-gan over dia2?
Choose hifi-gan over dia2 when License: hifi-gan is MIT, dia2 is Apache-2.0; Tags unique to hifi-gan: deep-learning, gan, hifi-gan, pytorch; When you require real-time generation capabilities up to 167.9 times faster than real time on a single V100 GPU, or even 13.4 times faster on CPU than real time for the small footprint version.
When should I choose dia2 over hifi-gan?
Choose dia2 over hifi-gan when License: dia2 is Apache-2.0, hifi-gan is MIT; Tags unique to dia2: open-weight; When you need real-time streaming capabilities for text-to-speech applications.
When should I avoid hifi-gan?
If your application prioritizes sample quality above speed, despite the competitive position of HiFi-GAN in both criteria When the computational resources for running models on a V100 GPU or leveraging the small footprint version's CPU efficiency are not available In scenarios requiring more than just high-fidelity speech synthesis but also complex text-to-speech natural language processing capabilities
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 hifi-gan or dia2 more popular on GitHub?
hifi-gan has more GitHub stars (2,363 vs 1,160). Stars measure visibility, not whether either tool fits your constraints.
Are hifi-gan and dia2 open source?
Yes - both are open-source projects on GitHub (hifi-gan: MIT, dia2: Apache-2.0).
Where can I find alternatives to hifi-gan or dia2?
GraphCanon lists graph-backed alternatives at hifi-gan alternatives and dia2 alternatives (hifi-gan markdown twin, dia2 markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, hifi-gan or dia2?
hifi-gan: 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 hifi-gan and dia2?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hifi-gan trust report; dia2 trust report.

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