Home/Compare/stable-diffusion vs galaxy

Comparison

stable-diffusion vs galaxy

Verdict

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

Markdown twin · stable-diffusion alternatives · galaxy alternatives

GraphCanon updated today

stable-diffusion logo

stable-diffusion

CompVis/stable-diffusion

73kpushed Jun 18, 2024
vs
galaxy logo

galaxy

galaxyproject/galaxy

1.8kpushed Jul 15, 2026

Trust & integrity

Signalstable-diffusiongalaxy
Maintenance
Dormant (753d since push)
As of 3d · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 3d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 3d · osv@v1
Published findings
As of today · 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

stable-diffusion
A latent text-to-image diffusion model
galaxy
Data intensive science for everyone.

Stars

stable-diffusion
73k
galaxy
1.8k

Forks

stable-diffusion
11k
galaxy
1.2k

Open issues

stable-diffusion
617
galaxy
2.8k

Language

stable-diffusion
Jupyter Notebook
galaxy
Python

Adopt for

stable-diffusion
Stable-diffusion is a state-of-the-art latent text-to-image diffusion model underpinning image generation from textual inputs.
galaxy
-

Persona

stable-diffusion
-
galaxy
-

Runtime

stable-diffusion
-
galaxy
-

License

stable-diffusion
Other
galaxy
Other

Last pushed

stable-diffusion
Jun 18, 2024
galaxy
Jul 15, 2026

Categories

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

Trust and health

Maintenance

stable-diffusion
Dormant (18%)
galaxy
Very active (96%)

Days since push

stable-diffusion
753d
galaxy
0d

Open issues (now)

stable-diffusion
617
galaxy
2.8k

OSV dependency advisories

stable-diffusion
No lockfile (source not queried)
galaxy
Published findings

Full report

stable-diffusion
Trust report

Shared compatibility

  • Python · stable-diffusion: Python runtime · galaxy: Python runtime

Choose stable-diffusion if…

  • stable-diffusion is primarily Jupyter Notebook; galaxy is Python.
  • Tags unique to stable-diffusion: diffusion model, latent space, text-to-image.
  • For generating images based on text prompts with high fidelity and artistic detail.

When NOT to use stable-diffusion

  • If the computational resources are limited, as it requires significant GPU power to train or fine-tune models.
  • In cases where real-time generation performance is critical, due to its computation-intensive process.

Choose galaxy if…

  • galaxy is primarily Python; stable-diffusion is Jupyter Notebook.
  • Tags unique to galaxy: bioinformatics, dna, genomics, hacktoberfest.
  • Also covers Vector Databases.

When NOT to use galaxy

  • 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 · galaxy 1.8k (synced Jul 11, 2026).

Common questions

What is the difference between stable-diffusion and galaxy?
stable-diffusion: A latent text-to-image diffusion model. galaxy: Data intensive science for everyone.. See the comparison table for live GitHub stats and shared categories.
When should I choose stable-diffusion over galaxy?
Choose stable-diffusion over galaxy when stable-diffusion is primarily Jupyter Notebook; galaxy is Python; Tags unique to stable-diffusion: diffusion model, latent space, text-to-image; For generating images based on text prompts with high fidelity and artistic detail.
When should I choose galaxy over stable-diffusion?
Choose galaxy over stable-diffusion when galaxy is primarily Python; stable-diffusion is Jupyter Notebook; Tags unique to galaxy: bioinformatics, dna, genomics, hacktoberfest; Also covers Vector Databases.
When should I avoid stable-diffusion?
If the computational resources are limited, as it requires significant GPU power to train or fine-tune models. In cases where real-time generation performance is critical, due to its computation-intensive process.
When should I avoid galaxy?
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 galaxy more popular on GitHub?
stable-diffusion has more GitHub stars (73,179 vs 1,811). Stars measure visibility, not whether either tool fits your constraints.
Are stable-diffusion and galaxy open source?
Yes - both are open-source projects on GitHub (stable-diffusion: Other, galaxy: Other).
Where can I find alternatives to stable-diffusion or galaxy?
GraphCanon lists graph-backed alternatives at stable-diffusion alternatives and galaxy alternatives (stable-diffusion markdown twin, galaxy 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 galaxy?
stable-diffusion: Dormant. galaxy: Very 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 stable-diffusion and galaxy?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: stable-diffusion trust report; galaxy trust report.

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