--- title: "stable-diffusion vs lightly-train" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/compvis-stable-diffusion-vs-lightly-ai-lightly-train" tools: ["compvis-stable-diffusion", "lightly-ai-lightly-train"] --- # stable-diffusion vs lightly-train *GraphCanon updated Jul 12, 2026* ## Verdict Pick stable-diffusion when stable-diffusion is primarily Jupyter Notebook; lightly-train is Python; pick lightly-train when lightly-train 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. [lightly-train](https://docs.lightly.ai/train) has 1.6k stars, 89 forks, and 64 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [stable-diffusion's repository](https://github.com/CompVis/stable-diffusion) and [lightly-train's repository](https://github.com/lightly-ai/lightly-train). | | [stable-diffusion](/tools/compvis-stable-diffusion.md) | [lightly-train](/tools/lightly-ai-lightly-train.md) | | --- | --- | --- | | Tagline | A latent text-to-image diffusion model | All-in-one training for vision models: pretraining, fine-tuning, distillation. | | Stars | 73,179 | 1,610 | | Forks | 10,584 | 89 | | Open issues | 617 | 64 | | Language | Jupyter Notebook | Python | | Adopt for | - | Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation. | | Persona | - | - | | Runtime | - | - | | License | Other | AGPL-3.0 | | 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) | [lightly-train](/tools/lightly-ai-lightly-train.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 753d | 0d | | Open issues (now) | 617 | 64 | | Full report | [trust report](/tools/compvis-stable-diffusion/trust.md) | [trust report](/tools/lightly-ai-lightly-train/trust.md) | ## Decision facts: lightly-train - **Requirements:** Min 8 GB RAM - **Adopt for:** Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation. ## Choose when ### Choose stable-diffusion if… - stable-diffusion is primarily Jupyter Notebook; lightly-train is Python. - License: stable-diffusion is Other, lightly-train is AGPL-3.0. - Tags unique to stable-diffusion: jupyter notebook. ### Choose lightly-train if… - lightly-train is primarily Python; stable-diffusion is Jupyter Notebook. - License: lightly-train is AGPL-3.0, stable-diffusion is Other. - Requirements: Min 8 GB RAM. - Tags unique to lightly-train: computer-vision, contrastive-learning, deep-learning, depth-estimation. - Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation. ## 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 lightly-train - 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 lightly-train? stable-diffusion: A latent text-to-image diffusion model. lightly-train: All-in-one training for vision models: pretraining, fine-tuning, distillation.. See the comparison table for live GitHub stats and shared categories. ### When should I choose stable-diffusion over lightly-train? Choose stable-diffusion over lightly-train when stable-diffusion is primarily Jupyter Notebook; lightly-train is Python; License: stable-diffusion is Other, lightly-train is AGPL-3.0; Tags unique to stable-diffusion: jupyter notebook. ### When should I choose lightly-train over stable-diffusion? Choose lightly-train over stable-diffusion when lightly-train is primarily Python; stable-diffusion is Jupyter Notebook; License: lightly-train is AGPL-3.0, stable-diffusion is Other; Requirements: Min 8 GB RAM; Tags unique to lightly-train: computer-vision, contrastive-learning, deep-learning, depth-estimation; Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation. ### 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 lightly-train? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is stable-diffusion or lightly-train more popular on GitHub? stable-diffusion has more GitHub stars (73,179 vs 1,610). Stars measure visibility, not whether either tool fits your constraints. ### Are stable-diffusion and lightly-train open source? Yes - both are open-source projects on GitHub (stable-diffusion: Other, lightly-train: AGPL-3.0). ### Where can I find alternatives to stable-diffusion or lightly-train? GraphCanon lists graph-backed alternatives at [stable-diffusion alternatives](/tools/compvis-stable-diffusion/alternatives) and [lightly-train alternatives](/tools/lightly-ai-lightly-train/alternatives) ([stable-diffusion markdown twin](/tools/compvis-stable-diffusion/alternatives.md), [lightly-train markdown twin](/tools/lightly-ai-lightly-train/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-lightly-ai-lightly-train.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, stable-diffusion or lightly-train? stable-diffusion: Dormant. lightly-train: 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 lightly-train? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [stable-diffusion trust report](/tools/compvis-stable-diffusion/trust); [lightly-train trust report](/tools/lightly-ai-lightly-train/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/_