--- title: "stable-diffusion vs Dataset" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/compvis-stable-diffusion-vs-dl3dv-10k-dataset" tools: ["compvis-stable-diffusion", "dl3dv-10k-dataset"] --- # stable-diffusion vs Dataset *GraphCanon updated Jul 11, 2026* ## Verdict Pick stable-diffusion when stable-diffusion is primarily Jupyter Notebook; Dataset is HTML; pick Dataset when dataset is primarily HTML; 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. [Dataset](https://dl3dv-10k.github.io/DL3DV-10K/) has 647 stars, 16 forks, and 21 open issues, last pushed Feb 10, 2026. Figures are from public GitHub metadata via [stable-diffusion's repository](https://github.com/CompVis/stable-diffusion) and [Dataset's repository](https://github.com/DL3DV-10K/Dataset). | | [stable-diffusion](/tools/compvis-stable-diffusion.md) | [Dataset](/tools/dl3dv-10k-dataset.md) | | --- | --- | --- | | Tagline | A latent text-to-image diffusion model | News: the 10k dataset is ready for download. | | Stars | 73,179 | 647 | | Forks | 10,584 | 16 | | Open issues | 617 | 21 | | Language | Jupyter Notebook | HTML | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | Computer Vision, Model Training | Computer Vision, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [stable-diffusion](/tools/compvis-stable-diffusion.md) | [Dataset](/tools/dl3dv-10k-dataset.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 753d | 151d | | Open issues (now) | 617 | 21 | | Full report | [trust report](/tools/compvis-stable-diffusion/trust.md) | [trust report](/tools/dl3dv-10k-dataset/trust.md) | ## Choose when ### Choose stable-diffusion if… - stable-diffusion is primarily Jupyter Notebook; Dataset is HTML. - Tags unique to stable-diffusion: jupyter notebook. - More GitHub stars (73k vs 647) - visibility, not fit. ### Choose Dataset if… - Dataset is primarily HTML; stable-diffusion is Jupyter Notebook. - Tags unique to Dataset: 3d-models, 3d-reconstruction, 3d-vision, ai. - More recently updated (last pushed Feb 10, 2026). ## 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. ## When NOT to use Dataset - Last GitHub push was 152 days ago (slowing maintenance, Feb 10, 2026). Validate activity before betting a new project on Dataset. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between stable-diffusion and Dataset? stable-diffusion: A latent text-to-image diffusion model. Dataset: News: the 10k dataset is ready for download.. See the comparison table for live GitHub stats and shared categories. ### When should I choose stable-diffusion over Dataset? Choose stable-diffusion over Dataset when stable-diffusion is primarily Jupyter Notebook; Dataset is HTML; Tags unique to stable-diffusion: jupyter notebook; More GitHub stars (73k vs 647) - visibility, not fit. ### When should I choose Dataset over stable-diffusion? Choose Dataset over stable-diffusion when Dataset is primarily HTML; stable-diffusion is Jupyter Notebook; Tags unique to Dataset: 3d-models, 3d-reconstruction, 3d-vision, ai; More recently updated (last pushed Feb 10, 2026). ### 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 Dataset? Last GitHub push was 152 days ago (slowing maintenance, Feb 10, 2026). Validate activity before betting a new project on Dataset. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is stable-diffusion or Dataset more popular on GitHub? stable-diffusion has more GitHub stars (73,179 vs 647). Stars measure visibility, not whether either tool fits your constraints. ### Are stable-diffusion and Dataset open source? Yes - both are open-source projects on GitHub (stable-diffusion: Other, Dataset: Other). ### Where can I find alternatives to stable-diffusion or Dataset? GraphCanon lists graph-backed alternatives at [stable-diffusion alternatives](/tools/compvis-stable-diffusion/alternatives) and [Dataset alternatives](/tools/dl3dv-10k-dataset/alternatives) ([stable-diffusion markdown twin](/tools/compvis-stable-diffusion/alternatives.md), [Dataset markdown twin](/tools/dl3dv-10k-dataset/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-dl3dv-10k-dataset.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, stable-diffusion or Dataset? stable-diffusion: Dormant. Dataset: 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 stable-diffusion and Dataset? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [stable-diffusion trust report](/tools/compvis-stable-diffusion/trust); [Dataset trust report](/tools/dl3dv-10k-dataset/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/_