Home/Compare/Stable-Diffusion-Latent-Space-Explorer vs stable-diffusion

Comparison

Stable-Diffusion-Latent-Space-Explorer vs stable-diffusion

Verdict

Pick Stable-Diffusion-Latent-Space-Explorer if repo for experimenting with Stable Diffusion model using diffusers library; pick stable-diffusion if stable-diffusion is a latent text-to-image diffusion model for generating images from text descriptions, using a conda environment for setup.

Markdown twin · Stable-Diffusion-Latent-Space-Explorer alternatives · stable-diffusion alternatives

GraphCanon updated Sep 25, 2026

20views this month

Stable-Diffusion-Latent-Space-Explorer logo

Stable-Diffusion-Latent-Space-Explorer

alen-smajic/Stable-Diffusion-Latent-Space-Explorer

★ 228pushed Jul 16, 2023
vs
stable-diffusion logo

stable-diffusion

CompVis/stable-diffusion

★ 73kpushed Jun 18, 2024

Trust & integrity

SignalStable-Diffusion-Latent-Space-Explorerstable-diffusion
Maintenance
Dormant (1166d since push)
As of Sep 25, 2026 · github_public_v1
Dormant (822d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 25, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · 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
stable-diffusion
A latent text-to-image diffusion model

Stars

Stable-Diffusion-Latent-Space-Explorer
228
stable-diffusion
73k

Forks

Stable-Diffusion-Latent-Space-Explorer
11
stable-diffusion
11k

Open issues

Stable-Diffusion-Latent-Space-Explorer
1
stable-diffusion
619

Language

Stable-Diffusion-Latent-Space-Explorer
Python
stable-diffusion
Jupyter Notebook

Adopt for

Stable-Diffusion-Latent-Space-Explorer
Repo for experimenting with Stable Diffusion model using diffusers library
stable-diffusion
Stable-diffusion is a latent text-to-image diffusion model for generating images from text descriptions, using a conda environment for setup.

Persona

Stable-Diffusion-Latent-Space-Explorer
-
stable-diffusion
-

Runtime

Stable-Diffusion-Latent-Space-Explorer
-
stable-diffusion
-

License

Stable-Diffusion-Latent-Space-Explorer
MIT
stable-diffusion
Other

Last pushed

Stable-Diffusion-Latent-Space-Explorer
Jul 16, 2023
stable-diffusion
Jun 18, 2024

Categories

Stable-Diffusion-Latent-Space-Explorer
Computer Vision, Model Training
stable-diffusion
Computer Vision, Model Training

Trust and health

Days since push

Stable-Diffusion-Latent-Space-Explorer
1166d
stable-diffusion
822d

Open issues (now)

Stable-Diffusion-Latent-Space-Explorer
1
stable-diffusion
619

Stars delta

Stable-Diffusion-Latent-Space-Explorer
+1 (30d)
stable-diffusion
+188 (30d)

Open issues delta

Stable-Diffusion-Latent-Space-Explorer
0 (30d)
stable-diffusion
+3 (30d)

Owner type

Stable-Diffusion-Latent-Space-Explorer
User
stable-diffusion
Organization

Full report

Stable-Diffusion-Latent-Space-Explorer
Trust report
stable-diffusion
Trust report

Typed relationship

Stable-Diffusion-Latent-Space-Explorer integrates stable-diffusionStable-Diffusion-Latent-Space-Explorer explores Stable Diffusion and likely integrates techniques or is based on the capabilities provided by it.

Shared compatibility

  • Python · Stable-Diffusion-Latent-Space-Explorer: Python runtime · stable-diffusion: Python runtime

Choose Stable-Diffusion-Latent-Space-Explorer if…

  • Stable-Diffusion-Latent-Space-Explorer is primarily Python; stable-diffusion is Jupyter Notebook.
  • License: Stable-Diffusion-Latent-Space-Explorer is MIT, stable-diffusion is Other.
  • Stable-Diffusion-Latent-Space-Explorer explores Stable Diffusion and likely integrates techniques or is based on the capabilities provided by it.
  • 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 stable-diffusion if…

  • stable-diffusion is primarily Jupyter Notebook; Stable-Diffusion-Latent-Space-Explorer is Python.
  • License: stable-diffusion is Other, Stable-Diffusion-Latent-Space-Explorer is MIT.
  • Requirements: A conda environment named `ldm` is required, which can be created and activated using the provided commands..
  • Stable-Diffusion-Latent-Space-Explorer explores Stable Diffusion and likely integrates techniques or is based on the capabilities provided by it.
  • Tags unique to stable-diffusion: conda environment, diffusion model, jupyter-notebook, latent diffusion.
  • When you need to generate images from text descriptions with a high degree of detail and quality, as stable-diffusion is known for its ability to produce highly detailed images.

When NOT to use stable-diffusion

  • If your project requires real-time image generation, as stable-diffusion may not be optimized for real-time performance and could be slower compared to some alternatives.
  • When you are looking for a tool that supports a wide range of customization options for the diffusion process, as stable-diffusion might have a more limited set of parameters for customization.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Stable-Diffusion-Latent-Space-Explorer 228 · stable-diffusion 73k (synced Sep 25, 2026).

Common questions

What is the difference between Stable-Diffusion-Latent-Space-Explorer and stable-diffusion?
Stable-Diffusion-Latent-Space-Explorer: Codebase for experiments with Stable Diffusion using diffusers library. stable-diffusion: A latent text-to-image diffusion model. See the comparison table for live GitHub stats and shared categories.
When should I choose Stable-Diffusion-Latent-Space-Explorer over stable-diffusion?
Choose Stable-Diffusion-Latent-Space-Explorer over stable-diffusion when Stable-Diffusion-Latent-Space-Explorer is primarily Python; stable-diffusion is Jupyter Notebook; License: Stable-Diffusion-Latent-Space-Explorer is MIT, stable-diffusion is Other; Stable-Diffusion-Latent-Space-Explorer explores Stable Diffusion and likely integrates techniques or is based on the capabilities provided by it; 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 stable-diffusion over Stable-Diffusion-Latent-Space-Explorer?
Choose stable-diffusion over Stable-Diffusion-Latent-Space-Explorer when stable-diffusion is primarily Jupyter Notebook; Stable-Diffusion-Latent-Space-Explorer is Python; License: stable-diffusion is Other, Stable-Diffusion-Latent-Space-Explorer is MIT; Requirements: A conda environment named ldm is required, which can be created and activated using the provided commands.; Stable-Diffusion-Latent-Space-Explorer explores Stable Diffusion and likely integrates techniques or is based on the capabilities provided by it; Tags unique to stable-diffusion: conda environment, diffusion model, jupyter-notebook, latent diffusion; When you need to generate images from text descriptions with a high degree of detail and quality, as stable-diffusion is known for its ability to produce highly detailed images.
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 stable-diffusion?
If your project requires real-time image generation, as stable-diffusion may not be optimized for real-time performance and could be slower compared to some alternatives. When you are looking for a tool that supports a wide range of customization options for the diffusion process, as stable-diffusion might have a more limited set of parameters for customization.
Is Stable-Diffusion-Latent-Space-Explorer or stable-diffusion more popular on GitHub?
stable-diffusion has more GitHub stars (73,442 vs 228). Stars measure visibility, not whether either tool fits your constraints.
Are Stable-Diffusion-Latent-Space-Explorer and stable-diffusion open source?
Yes - both are open-source projects on GitHub (Stable-Diffusion-Latent-Space-Explorer: MIT, stable-diffusion: Other).
Where can I find alternatives to Stable-Diffusion-Latent-Space-Explorer or stable-diffusion?
GraphCanon lists graph-backed alternatives at Stable-Diffusion-Latent-Space-Explorer alternatives and stable-diffusion alternatives (Stable-Diffusion-Latent-Space-Explorer markdown twin, stable-diffusion 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 stable-diffusion?
Stable-Diffusion-Latent-Space-Explorer: Dormant. stable-diffusion: Dormant. 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 stable-diffusion?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Stable-Diffusion-Latent-Space-Explorer trust report; stable-diffusion trust report.

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