---
title: "stable-diffusion vs auto-maple"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/compvis-stable-diffusion-vs-tanjeffreyz-auto-maple"
tools: ["compvis-stable-diffusion", "tanjeffreyz-auto-maple"]
---

# stable-diffusion vs auto-maple

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick stable-diffusion when stable-diffusion is primarily Jupyter Notebook; auto-maple is Python; pick auto-maple when auto-maple 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. [auto-maple](https://github.com/tanjeffreyz/auto-maple) has 671 stars, 321 forks, and 60 open issues, last pushed Dec 26, 2025. Figures are from public GitHub metadata via [stable-diffusion's repository](https://github.com/CompVis/stable-diffusion) and [auto-maple's repository](https://github.com/tanjeffreyz/auto-maple).

| | [stable-diffusion](/tools/compvis-stable-diffusion.md) | [auto-maple](/tools/tanjeffreyz-auto-maple.md) |
| --- | --- | --- |
| Tagline | A latent text-to-image diffusion model | Artificial intelligence for MapleStory that uses machine learning and computer vision to navigate challenging in-game environments |
| Stars | 73,179 | 671 |
| Forks | 10,584 | 321 |
| Open issues | 617 | 60 |
| Language | Jupyter Notebook | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Other | - |
| Categories | Computer Vision, Model Training | Computer Vision, Developer Tools, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [stable-diffusion](/tools/compvis-stable-diffusion.md) | [auto-maple](/tools/tanjeffreyz-auto-maple.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 753d | 197d |
| Open issues (now) | 617 | 60 |
| Owner type | Organization | User |
| Security scan | No lockfile | No criticals |
| Full report | [trust report](/tools/compvis-stable-diffusion/trust.md) | [trust report](/tools/tanjeffreyz-auto-maple/trust.md) |

## Shared compatibility

- **Python**: [stable-diffusion](/tools/compvis-stable-diffusion.md) - Python runtime; [auto-maple](/tools/tanjeffreyz-auto-maple.md) - Python runtime

## Choose when

### Choose stable-diffusion if…

- stable-diffusion is primarily Jupyter Notebook; auto-maple is Python.
- Tags unique to stable-diffusion: jupyter notebook.
- More GitHub stars (73k vs 671) - visibility, not fit.

### Choose auto-maple if…

- auto-maple is primarily Python; stable-diffusion is Jupyter Notebook.
- Tags unique to auto-maple: ai, computer-vision, machine-learning, maplestory.
- Also covers Developer Tools.

## 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 auto-maple

- Last GitHub push was 198 days ago (slowing maintenance, Dec 26, 2025). Validate activity before betting a new project on auto-maple.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- 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 auto-maple?

stable-diffusion: A latent text-to-image diffusion model. auto-maple: Artificial intelligence for MapleStory that uses machine learning and computer vision to navigate challenging in-game environments. See the comparison table for live GitHub stats and shared categories.

### When should I choose stable-diffusion over auto-maple?

Choose stable-diffusion over auto-maple when stable-diffusion is primarily Jupyter Notebook; auto-maple is Python; Tags unique to stable-diffusion: jupyter notebook; More GitHub stars (73k vs 671) - visibility, not fit.

### When should I choose auto-maple over stable-diffusion?

Choose auto-maple over stable-diffusion when auto-maple is primarily Python; stable-diffusion is Jupyter Notebook; Tags unique to auto-maple: ai, computer-vision, machine-learning, maplestory; Also covers Developer Tools.

### 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 auto-maple?

Last GitHub push was 198 days ago (slowing maintenance, Dec 26, 2025). Validate activity before betting a new project on auto-maple. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### Is stable-diffusion or auto-maple more popular on GitHub?

stable-diffusion has more GitHub stars (73,179 vs 671). Stars measure visibility, not whether either tool fits your constraints.

### Are stable-diffusion and auto-maple open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to stable-diffusion or auto-maple?

GraphCanon lists graph-backed alternatives at [stable-diffusion alternatives](/tools/compvis-stable-diffusion/alternatives) and [auto-maple alternatives](/tools/tanjeffreyz-auto-maple/alternatives) ([stable-diffusion markdown twin](/tools/compvis-stable-diffusion/alternatives.md), [auto-maple markdown twin](/tools/tanjeffreyz-auto-maple/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-tanjeffreyz-auto-maple.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, stable-diffusion or auto-maple?

stable-diffusion: Dormant. auto-maple: 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 auto-maple?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [stable-diffusion trust report](/tools/compvis-stable-diffusion/trust); [auto-maple trust report](/tools/tanjeffreyz-auto-maple/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/_
