Comparison
Stable-Diffusion-Latent-Space-Explorer vs mlx-tune
Verdict
Pick Stable-Diffusion-Latent-Space-Explorer if repo for experimenting with Stable Diffusion model using diffusers library; pick mlx-tune if mlx-tune targets Mac users with Apple Silicon for fine-tuning LLMs across SFT, RLHP, GRPO, vision, TTS, STT, embeddings, and OCR using tools compatible with the UnSloth API.
Markdown twin · Stable-Diffusion-Latent-Space-Explorer alternatives · mlx-tune alternatives
GraphCanon updated 3w
Stable-Diffusion-Latent-Space-Explorer
alen-smajic/Stable-Diffusion-Latent-Space-Explorer
★ 227pushed Jul 16, 2023
Trust & integrity
| Signal | Stable-Diffusion-Latent-Space-Explorer | mlx-tune |
|---|---|---|
| Maintenance | Dormant (1111d since push) As of 3w · github_public_v1 | Steady (36d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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-Latent-Space-Explorer
- Codebase for experiments with Stable Diffusion using diffusers library
- mlx-tune
- Fine-tune LLMs on your Mac with Apple Silicon for various tasks including SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR.
Stars
- Stable-Diffusion-Latent-Space-Explorer
- 227
- mlx-tune
- 1.4k
Forks
- Stable-Diffusion-Latent-Space-Explorer
- 12
- mlx-tune
- 88
Open issues
- Stable-Diffusion-Latent-Space-Explorer
- 1
- mlx-tune
- 11
Language
- Stable-Diffusion-Latent-Space-Explorer
- Python
- mlx-tune
- Python
Adopt for
- Stable-Diffusion-Latent-Space-Explorer
- Repo for experimenting with Stable Diffusion model using diffusers library
- mlx-tune
- mlx-tune targets Mac users with Apple Silicon for fine-tuning LLMs across SFT, RLHP, GRPO, vision, TTS, STT, embeddings, and OCR using tools compatible with the UnSloth API.
Persona
- Stable-Diffusion-Latent-Space-Explorer
- -
- mlx-tune
- -
Runtime
- Stable-Diffusion-Latent-Space-Explorer
- -
- mlx-tune
- -
License
- Stable-Diffusion-Latent-Space-Explorer
- MIT
- mlx-tune
- Apache-2.0
Last pushed
- Stable-Diffusion-Latent-Space-Explorer
- Jul 16, 2023
- mlx-tune
- Jun 23, 2026
Categories
- Stable-Diffusion-Latent-Space-Explorer
- Computer Vision, Model Training
- mlx-tune
- Computer Vision, LLM Frameworks, Model Training, Speech & Audio
Trust and health
Maintenance
- Stable-Diffusion-Latent-Space-Explorer
- Dormant (18%)
- mlx-tune
- Steady (60%)
Days since push
- Stable-Diffusion-Latent-Space-Explorer
- 1111d
- mlx-tune
- 36d
Open issues (now)
- Stable-Diffusion-Latent-Space-Explorer
- 1
- mlx-tune
- 11
OSV dependency advisories
- Stable-Diffusion-Latent-Space-Explorer
- No lockfile (source not queried)
- mlx-tune
- Published findings
Full report
- Stable-Diffusion-Latent-Space-Explorer
- Trust report
- mlx-tune
- Trust report
Shared compatibility
- Python · Stable-Diffusion-Latent-Space-Explorer: Python runtime · mlx-tune: Python runtime
Choose Stable-Diffusion-Latent-Space-Explorer if…
- License: Stable-Diffusion-Latent-Space-Explorer is MIT, mlx-tune is Apache-2.0.
- Tags unique to Stable-Diffusion-Latent-Space-Explorer: ai, computer-vision, diffusion, generative-ai.
- When you aim to explore latent space editing techniques specifically with Stable Diffusion models.
When NOT to use Stable-Diffusion-Latent-Space-Explorer
- If your project relies on a different diffusion model that does not benefit from diffusers library integrations.
- When working under strict resource constraints, as setup requires significant system resources for deep learning operations.
Choose mlx-tune if…
- License: mlx-tune is Apache-2.0, Stable-Diffusion-Latent-Space-Explorer is MIT.
- Tags unique to mlx-tune: apple-silicon, deep-learning, huggingface, large language models.
- Also covers LLM Frameworks, Speech & Audio.
- You need to fine-tune large language models on a Mac with Apple Silicon hardware
When NOT to use mlx-tune
- Your development environment is not based on macOS running on Apple Silicon
- The specific tasks you are targeting do not align with the capabilities of mlx-tune such as those exclusive to alternative platforms or tools
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alen-smajic/Stable-Diffusion-Latent-Space-Explorer) · observed Aug 1, 2026
- GitHub forks (alen-smajic/Stable-Diffusion-Latent-Space-Explorer) · observed Aug 1, 2026
- Last push (alen-smajic/Stable-Diffusion-Latent-Space-Explorer) · observed Jul 16, 2023
- License file (MIT) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ARahim3/mlx-tune) · observed Jul 30, 2026
- GitHub forks (ARahim3/mlx-tune) · observed Jul 30, 2026
- Last push (ARahim3/mlx-tune) · observed Jun 23, 2026
- License file (Apache-2.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Stable-Diffusion-Latent-Space-Explorer 227 · mlx-tune 1.4k (synced Aug 1, 2026).
Common questions
- What is the difference between Stable-Diffusion-Latent-Space-Explorer and mlx-tune?
- Stable-Diffusion-Latent-Space-Explorer: Codebase for experiments with Stable Diffusion using diffusers library. mlx-tune: Fine-tune LLMs on your Mac with Apple Silicon for various tasks including SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Stable-Diffusion-Latent-Space-Explorer over mlx-tune?
- Choose Stable-Diffusion-Latent-Space-Explorer over mlx-tune when License: Stable-Diffusion-Latent-Space-Explorer is MIT, mlx-tune is Apache-2.0; Tags unique to Stable-Diffusion-Latent-Space-Explorer: ai, computer-vision, diffusion, generative-ai; When you aim to explore latent space editing techniques specifically with Stable Diffusion models.
- When should I choose mlx-tune over Stable-Diffusion-Latent-Space-Explorer?
- Choose mlx-tune over Stable-Diffusion-Latent-Space-Explorer when License: mlx-tune is Apache-2.0, Stable-Diffusion-Latent-Space-Explorer is MIT; Tags unique to mlx-tune: apple-silicon, deep-learning, huggingface, large language models; Also covers LLM Frameworks, Speech & Audio; You need to fine-tune large language models on a Mac with Apple Silicon hardware.
- When should I avoid Stable-Diffusion-Latent-Space-Explorer?
- If your project relies on a different diffusion model that does not benefit from diffusers library integrations. When working under strict resource constraints, as setup requires significant system resources for deep learning operations.
- When should I avoid mlx-tune?
- Your development environment is not based on macOS running on Apple Silicon The specific tasks you are targeting do not align with the capabilities of mlx-tune such as those exclusive to alternative platforms or tools
- Is Stable-Diffusion-Latent-Space-Explorer or mlx-tune more popular on GitHub?
- mlx-tune has more GitHub stars (1,372 vs 227). Stars measure visibility, not whether either tool fits your constraints.
- Are Stable-Diffusion-Latent-Space-Explorer and mlx-tune open source?
- Yes - both are open-source projects on GitHub (Stable-Diffusion-Latent-Space-Explorer: MIT, mlx-tune: Apache-2.0).
- Where can I find alternatives to Stable-Diffusion-Latent-Space-Explorer or mlx-tune?
- GraphCanon lists graph-backed alternatives at Stable-Diffusion-Latent-Space-Explorer alternatives and mlx-tune alternatives (Stable-Diffusion-Latent-Space-Explorer markdown twin, mlx-tune 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-Latent-Space-Explorer or mlx-tune?
- Stable-Diffusion-Latent-Space-Explorer: Dormant. mlx-tune: 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-Latent-Space-Explorer and mlx-tune?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Stable-Diffusion-Latent-Space-Explorer trust report; mlx-tune trust report.