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

# stable-diffusion vs ReinFlow

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick stable-diffusion when stable-diffusion is primarily Jupyter Notebook; ReinFlow is Python; pick ReinFlow when reinFlow 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. [ReinFlow](https://reinflow.github.io/) has 343 stars, 32 forks, and 9 open issues, last pushed Apr 24, 2026. Figures are from public GitHub metadata via [stable-diffusion's repository](https://github.com/CompVis/stable-diffusion) and [ReinFlow's repository](https://github.com/ReinFlow/ReinFlow).

| | [stable-diffusion](/tools/compvis-stable-diffusion.md) | [ReinFlow](/tools/reinflow-reinflow.md) |
| --- | --- | --- |
| Tagline | A latent text-to-image diffusion model | [NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., Pi0, Pi0.5, GR00TN1.5. Fully open-sourced. |
| Stars | 73,179 | 343 |
| Forks | 10,584 | 32 |
| Open issues | 617 | 9 |
| Language | Jupyter Notebook | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Other | MIT |
| 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) | [ReinFlow](/tools/reinflow-reinflow.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Steady (60%) |
| Days since push | 753d | 77d |
| Open issues (now) | 617 | 9 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/compvis-stable-diffusion/trust.md) | [trust report](/tools/reinflow-reinflow/trust.md) |

## Choose when

### Choose stable-diffusion if…

- stable-diffusion is primarily Jupyter Notebook; ReinFlow is Python.
- License: stable-diffusion is Other, ReinFlow is MIT.
- Tags unique to stable-diffusion: jupyter notebook.

### Choose ReinFlow if…

- ReinFlow is primarily Python; stable-diffusion is Jupyter Notebook.
- License: ReinFlow is MIT, stable-diffusion is Other.
- Tags unique to ReinFlow: actorcritic, fine-tuning, finetuning-rl, finetuning-vision-models.

## 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 ReinFlow

- 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 ReinFlow?

stable-diffusion: A latent text-to-image diffusion model. ReinFlow: [NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., Pi0, Pi0.5, GR00TN1.5. Fully open-sourced.. See the comparison table for live GitHub stats and shared categories.

### When should I choose stable-diffusion over ReinFlow?

Choose stable-diffusion over ReinFlow when stable-diffusion is primarily Jupyter Notebook; ReinFlow is Python; License: stable-diffusion is Other, ReinFlow is MIT; Tags unique to stable-diffusion: jupyter notebook.

### When should I choose ReinFlow over stable-diffusion?

Choose ReinFlow over stable-diffusion when ReinFlow is primarily Python; stable-diffusion is Jupyter Notebook; License: ReinFlow is MIT, stable-diffusion is Other; Tags unique to ReinFlow: actorcritic, fine-tuning, finetuning-rl, finetuning-vision-models.

### 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 ReinFlow?

Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### Is stable-diffusion or ReinFlow more popular on GitHub?

stable-diffusion has more GitHub stars (73,179 vs 343). Stars measure visibility, not whether either tool fits your constraints.

### Are stable-diffusion and ReinFlow open source?

Yes - both are open-source projects on GitHub (stable-diffusion: Other, ReinFlow: MIT).

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

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

### Which is better maintained, stable-diffusion or ReinFlow?

stable-diffusion: Dormant. ReinFlow: Steady. 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 ReinFlow?

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