Comparison
stable-diffusion vs lightly
Verdict
Pick stable-diffusion if stable-diffusion is a state-of-the-art latent text-to-image diffusion model underpinning image generation from textual inputs; pick lightly if lightly specializes in self-supervised learning for image data to improve computer vision models without labeled datasets.
Markdown twin · stable-diffusion alternatives · lightly alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | stable-diffusion | lightly |
|---|---|---|
| Maintenance | Dormant (774d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- lightly
- A python library for self-supervised learning on images.
Stars
- stable-diffusion
- 73k
- lightly
- 3.8k
Forks
- stable-diffusion
- 11k
- lightly
- 354
Open issues
- stable-diffusion
- 616
- lightly
- 97
Language
- stable-diffusion
- Jupyter Notebook
- lightly
- 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.
- lightly
- Lightly specializes in self-supervised learning for image data to improve computer vision models without labeled datasets.
Persona
- stable-diffusion
- -
- lightly
- -
Runtime
- stable-diffusion
- -
- lightly
- -
License
- stable-diffusion
- Other
- lightly
- MIT
Last pushed
- stable-diffusion
- Jun 18, 2024
- lightly
- Aug 21, 2026
Categories
- stable-diffusion
- Computer Vision, Model Training
- lightly
- Computer Vision, Model Training
Trust and health
Maintenance
- stable-diffusion
- Dormant (18%)
- lightly
- Very active (96%)
Days since push
- stable-diffusion
- 774d
- lightly
- 0d
Open issues (now)
- stable-diffusion
- 616
- lightly
- 97
Stars delta
- stable-diffusion
- Unknown
- lightly
- +11 (30d)
Open issues delta
- stable-diffusion
- Unknown
- lightly
- +4 (30d)
Full report
- stable-diffusion
- Trust report
- lightly
- Trust report
Shared compatibility
- Python · stable-diffusion: Python runtime · lightly: Python runtime
Choose stable-diffusion if…
- stable-diffusion is primarily Jupyter Notebook; lightly is Python.
- License: stable-diffusion is Other, lightly is MIT.
- 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 lightly if…
- lightly is primarily Python; stable-diffusion is Jupyter Notebook.
- License: lightly is MIT, stable-diffusion is Other.
- Tags unique to lightly: computer-vision, contrastive-learning, deep-learning, embeddings.
- You need to enhance model performance with unlabeled image data.
When NOT to use lightly
- Labeled datasets are abundant and of high quality for your use case.
- Project requirements strictly limit the use of Python-based libraries.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (CompVis/stable-diffusion) · observed Aug 1, 2026
- GitHub forks (CompVis/stable-diffusion) · observed Aug 1, 2026
- Last push (CompVis/stable-diffusion) · observed Jun 18, 2024
- License file (Other) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lightly-ai/lightly) · observed Aug 22, 2026
- GitHub forks (lightly-ai/lightly) · observed Aug 22, 2026
- Last push (lightly-ai/lightly) · observed Aug 21, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: stable-diffusion 73k · lightly 3.8k (synced Aug 1, 2026).
Common questions
- What is the difference between stable-diffusion and lightly?
- stable-diffusion: A latent text-to-image diffusion model. lightly: A python library for self-supervised learning on images.. See the comparison table for live GitHub stats and shared categories.
- When should I choose stable-diffusion over lightly?
- Choose stable-diffusion over lightly when stable-diffusion is primarily Jupyter Notebook; lightly is Python; License: stable-diffusion is Other, lightly is MIT; 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 lightly over stable-diffusion?
- Choose lightly over stable-diffusion when lightly is primarily Python; stable-diffusion is Jupyter Notebook; License: lightly is MIT, stable-diffusion is Other; Tags unique to lightly: computer-vision, contrastive-learning, deep-learning, embeddings; You need to enhance model performance with unlabeled image data.
- 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 lightly?
- Labeled datasets are abundant and of high quality for your use case. Project requirements strictly limit the use of Python-based libraries.
- Is stable-diffusion or lightly more popular on GitHub?
- stable-diffusion has more GitHub stars (73,254 vs 3,795). Stars measure visibility, not whether either tool fits your constraints.
- Are stable-diffusion and lightly open source?
- Yes - both are open-source projects on GitHub (stable-diffusion: Other, lightly: MIT).
- Where can I find alternatives to stable-diffusion or lightly?
- GraphCanon lists graph-backed alternatives at stable-diffusion alternatives and lightly alternatives (stable-diffusion markdown twin, lightly 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 lightly?
- stable-diffusion: Dormant. lightly: 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?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: stable-diffusion trust report; lightly trust report.