--- title: "stable-diffusion vs hold" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/compvis-stable-diffusion-vs-zc-alexfan-hold" tools: ["compvis-stable-diffusion", "zc-alexfan-hold"] --- # stable-diffusion vs hold *GraphCanon updated Jul 11, 2026* ## Verdict Pick stable-diffusion when stable-diffusion is primarily Jupyter Notebook; hold is Python; pick hold when hold 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. [hold](https://zc-alexfan.github.io/hold) has 486 stars, 15 forks, and 9 open issues, last pushed Mar 10, 2026. Figures are from public GitHub metadata via [stable-diffusion's repository](https://github.com/CompVis/stable-diffusion) and [hold's repository](https://github.com/zc-alexfan/hold). | | [stable-diffusion](/tools/compvis-stable-diffusion.md) | [hold](/tools/zc-alexfan-hold.md) | | --- | --- | --- | | Tagline | A latent text-to-image diffusion model | [CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D | | Stars | 73,179 | 486 | | Forks | 10,584 | 15 | | Open issues | 617 | 9 | | Language | Jupyter Notebook | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | 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) | [hold](/tools/zc-alexfan-hold.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 753d | 122d | | Open issues (now) | 617 | 9 | | Owner type | Organization | User | | Security scan | No lockfile | 9 low (9 low) | | Full report | [trust report](/tools/compvis-stable-diffusion/trust.md) | [trust report](/tools/zc-alexfan-hold/trust.md) | ## Choose when ### Choose stable-diffusion if… - stable-diffusion is primarily Jupyter Notebook; hold is Python. - License: stable-diffusion is Other, hold is MIT. - Tags unique to stable-diffusion: jupyter notebook. ### Choose hold if… - hold is primarily Python; stable-diffusion is Jupyter Notebook. - License: hold is MIT, stable-diffusion is Other. - Tags unique to hold: 3d-reconstruction, ai, artificial-intelligence, augmented-reality. - Also covers Vector Databases. ## 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 hold - Last GitHub push was 123 days ago (slowing maintenance, Mar 10, 2026). Validate activity before betting a new project on hold. - 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 hold? stable-diffusion: A latent text-to-image diffusion model. hold: [CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D. See the comparison table for live GitHub stats and shared categories. ### When should I choose stable-diffusion over hold? Choose stable-diffusion over hold when stable-diffusion is primarily Jupyter Notebook; hold is Python; License: stable-diffusion is Other, hold is MIT; Tags unique to stable-diffusion: jupyter notebook. ### When should I choose hold over stable-diffusion? Choose hold over stable-diffusion when hold is primarily Python; stable-diffusion is Jupyter Notebook; License: hold is MIT, stable-diffusion is Other; Tags unique to hold: 3d-reconstruction, ai, artificial-intelligence, augmented-reality; 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 hold? Last GitHub push was 123 days ago (slowing maintenance, Mar 10, 2026). Validate activity before betting a new project on hold. 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 hold more popular on GitHub? stable-diffusion has more GitHub stars (73,179 vs 486). Stars measure visibility, not whether either tool fits your constraints. ### Are stable-diffusion and hold open source? Yes - both are open-source projects on GitHub (stable-diffusion: Other, hold: MIT). ### Where can I find alternatives to stable-diffusion or hold? GraphCanon lists graph-backed alternatives at [stable-diffusion alternatives](/tools/compvis-stable-diffusion/alternatives) and [hold alternatives](/tools/zc-alexfan-hold/alternatives) ([stable-diffusion markdown twin](/tools/compvis-stable-diffusion/alternatives.md), [hold markdown twin](/tools/zc-alexfan-hold/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-zc-alexfan-hold.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, stable-diffusion or hold? stable-diffusion: Dormant. hold: 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 hold? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [stable-diffusion trust report](/tools/compvis-stable-diffusion/trust); [hold trust report](/tools/zc-alexfan-hold/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/_