--- title: "stable-diffusion vs galaxy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/compvis-stable-diffusion-vs-galaxyproject-galaxy" tools: ["compvis-stable-diffusion", "galaxyproject-galaxy"] --- # stable-diffusion vs galaxy *GraphCanon updated Jul 15, 2026* ## 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. [stable-diffusion](https://ommer-lab.com/research/latent-diffusion-models/) reports 73k GitHub stars, 11k forks, and 617 open issues, last pushed Jun 18, 2024. [galaxy](https://galaxyproject.org) has 1.8k stars, 1.2k forks, and 2.8k open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [stable-diffusion's repository](https://github.com/CompVis/stable-diffusion) and [galaxy's repository](https://github.com/galaxyproject/galaxy). | | [stable-diffusion](/tools/compvis-stable-diffusion.md) | [galaxy](/tools/galaxyproject-galaxy.md) | | --- | --- | --- | | Tagline | A latent text-to-image diffusion model | Data intensive science for everyone. | | Stars | 73,179 | 1,811 | | Forks | 10,584 | 1,158 | | Open issues | 617 | 2,764 | | Language | Jupyter Notebook | Python | | Adopt for | Stable-diffusion is a state-of-the-art latent text-to-image diffusion model underpinning image generation from textual inputs. | - | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | Computer Vision, Model Training | Computer Vision, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [stable-diffusion](/tools/compvis-stable-diffusion.md) | [galaxy](/tools/galaxyproject-galaxy.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 753d | 0d | | Open issues (now) | 617 | 2.8k | | Full report | [trust report](/tools/compvis-stable-diffusion/trust.md) | [trust report](/tools/galaxyproject-galaxy/trust.md) | ## Shared compatibility - **Python**: [stable-diffusion](/tools/compvis-stable-diffusion.md) - Python runtime; [galaxy](/tools/galaxyproject-galaxy.md) - Python runtime ## Decision facts: stable-diffusion - **Adopt for:** Stable-diffusion is a state-of-the-art latent text-to-image diffusion model underpinning image generation from textual inputs. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/compvis-stable-diffusion/alternatives) and [galaxy alternatives](/tools/galaxyproject-galaxy/alternatives) ([stable-diffusion markdown twin](/tools/compvis-stable-diffusion/alternatives.md), [galaxy markdown twin](/tools/galaxyproject-galaxy/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/compvis-stable-diffusion-vs-galaxyproject-galaxy.md) 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](/tools/compvis-stable-diffusion/trust); [galaxy trust report](/tools/galaxyproject-galaxy/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=compvis-stable-diffusion`](/api/graphcanon/graph?tool=compvis-stable-diffusion) - 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/_