Home/Compare/stable-diffusion vs hub

Comparison

stable-diffusion vs hub

Verdict

Pick stable-diffusion when stable-diffusion is primarily Jupyter Notebook; hub is Python; pick hub when hub is primarily Python; stable-diffusion is Jupyter Notebook.

Markdown twin · stable-diffusion alternatives · hub alternatives

GraphCanon updated today

stable-diffusion logo

stable-diffusion

CompVis/stable-diffusion

73kpushed Jun 18, 2024
vs
hub logo

hub

tensorflow/hub

3.5kpushed Jan 17, 2025

Trust & integrity

Signalstable-diffusionhub
Maintenance
Dormant (753d since push)
As of today · github_public_v1
Dormant (539d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

stable-diffusion
A latent text-to-image diffusion model
hub
A library for transfer learning by reusing parts of TensorFlow models.

Stars

stable-diffusion
73k
hub
3.5k

Forks

stable-diffusion
11k
hub
1.6k

Open issues

stable-diffusion
617
hub
14

Language

stable-diffusion
Jupyter Notebook
hub
Python

Adopt for

stable-diffusion
-
hub
-

Persona

stable-diffusion
-
hub
-

Runtime

stable-diffusion
-
hub
-

License

stable-diffusion
Other
hub
Apache-2.0

Last pushed

stable-diffusion
Jun 18, 2024
hub
Jan 17, 2025

Categories

stable-diffusion
Computer Vision, Model Training
hub
Computer Vision, Model Training, Vector Databases

Trust and health

Days since push

stable-diffusion
753d
hub
539d

Open issues (now)

stable-diffusion
617
hub
14

Full report

stable-diffusion
Trust report

Choose stable-diffusion if…

  • stable-diffusion is primarily Jupyter Notebook; hub is Python.
  • License: stable-diffusion is Other, hub is Apache-2.0.
  • Tags unique to stable-diffusion: jupyter notebook.

When NOT to use stable-diffusion

  • Last GitHub push was 754 days ago (dormant maintenance, Jun 18, 2024). Validate activity before betting a new project on stable-diffusion.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose hub if…

  • hub is primarily Python; stable-diffusion is Jupyter Notebook.
  • License: hub is Apache-2.0, stable-diffusion is Other.
  • Tags unique to hub: embeddings, image-classification, machine-learning, ml.
  • Also covers Vector Databases.

When NOT to use hub

  • Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on hub.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Explore

Sources

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

GitHub stars on cards: stable-diffusion 73k · hub 3.5k (synced Jul 11, 2026).

Common questions

What is the difference between stable-diffusion and hub?
stable-diffusion: A latent text-to-image diffusion model. hub: A library for transfer learning by reusing parts of TensorFlow models.. See the comparison table for live GitHub stats and shared categories.
When should I choose stable-diffusion over hub?
Choose stable-diffusion over hub when stable-diffusion is primarily Jupyter Notebook; hub is Python; License: stable-diffusion is Other, hub is Apache-2.0; Tags unique to stable-diffusion: jupyter notebook.
When should I choose hub over stable-diffusion?
Choose hub over stable-diffusion when hub is primarily Python; stable-diffusion is Jupyter Notebook; License: hub is Apache-2.0, stable-diffusion is Other; Tags unique to hub: embeddings, image-classification, machine-learning, ml; Also covers Vector Databases.
When should I avoid stable-diffusion?
Last GitHub push was 754 days ago (dormant maintenance, Jun 18, 2024). Validate activity before betting a new project on stable-diffusion. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid hub?
Last GitHub push was 540 days ago (dormant maintenance, Jan 17, 2025). Validate activity before betting a new project on hub. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Is stable-diffusion or hub more popular on GitHub?
stable-diffusion has more GitHub stars (73,179 vs 3,521). Stars measure visibility, not whether either tool fits your constraints.
Are stable-diffusion and hub open source?
Yes - both are open-source projects on GitHub (stable-diffusion: Other, hub: Apache-2.0).
Where can I find alternatives to stable-diffusion or hub?
GraphCanon lists graph-backed alternatives at stable-diffusion alternatives and hub alternatives (stable-diffusion markdown twin, hub 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, stable-diffusion or hub?
stable-diffusion: Dormant. hub: Dormant. 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 stable-diffusion and hub?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: stable-diffusion trust report; hub trust report.