Comparison
stable-diffusion vs x-stable-diffusion
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 x-stable-diffusion if x-stable-diffusion offers real-time inference for the Stable Diffusion model with a latency of 0.88s, leveraging AITemplate, nvFuser, TensorRT, and FlashAttention.
Markdown twin · stable-diffusion alternatives · x-stable-diffusion alternatives
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Trust & integrity
| Signal | stable-diffusion | x-stable-diffusion |
|---|---|---|
| Maintenance | Dormant (753d since push) As of 5d · github_public_v1 | Archived (950d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 5d · osv@v1 | No lockfile (source not queried) As of 5d · 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
- x-stable-diffusion
- Real-time inference for Stable Diffusion - 0.88s latency
Stars
- stable-diffusion
- 73k
- x-stable-diffusion
- 557
Forks
- stable-diffusion
- 11k
- x-stable-diffusion
- 34
Open issues
- stable-diffusion
- 617
- x-stable-diffusion
- 22
Language
- stable-diffusion
- Jupyter Notebook
- x-stable-diffusion
- Jupyter Notebook
Adopt for
- stable-diffusion
- Stable-diffusion is a state-of-the-art latent text-to-image diffusion model underpinning image generation from textual inputs.
- x-stable-diffusion
- x-stable-diffusion offers real-time inference for the Stable Diffusion model with a latency of 0.88s, leveraging AITemplate, nvFuser, TensorRT, and FlashAttention.
Persona
- stable-diffusion
- -
- x-stable-diffusion
- -
Runtime
- stable-diffusion
- -
- x-stable-diffusion
- -
License
- stable-diffusion
- Other
- x-stable-diffusion
- Apache-2.0
Last pushed
- stable-diffusion
- Jun 18, 2024
- x-stable-diffusion
- Dec 4, 2023
Categories
- stable-diffusion
- Computer Vision, Model Training
- x-stable-diffusion
- Inference & Serving, Model Training
Trust and health
Maintenance
- stable-diffusion
- Dormant (18%)
- x-stable-diffusion
- Archived (8%)
Days since push
- stable-diffusion
- 753d
- x-stable-diffusion
- 950d
Archived on GitHub
- stable-diffusion
- No
- x-stable-diffusion
- Yes
Open issues (now)
- stable-diffusion
- 617
- x-stable-diffusion
- 22
Full report
- stable-diffusion
- Trust report
- x-stable-diffusion
- Trust report
Typed relationship
stable-diffusion alternative x-stable-diffusionx-Stable-Diffusion offers real-time inference for Stable Diffusion with reduced latency, providing an alternative approach to improving performance.
Choose stable-diffusion if…
- License: stable-diffusion is Other, x-stable-diffusion is Apache-2.0.
- x-Stable-Diffusion offers real-time inference for Stable Diffusion with reduced latency, providing an alternative approach to improving performance.
- Tags unique to stable-diffusion: diffusion-model, latent space, text-to-image.
- Also covers Computer Vision.
- 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 x-stable-diffusion if…
- License: x-stable-diffusion is Apache-2.0, stable-diffusion is Other.
- x-Stable-Diffusion offers real-time inference for Stable Diffusion with reduced latency, providing an alternative approach to improving performance.
- Tags unique to x-stable-diffusion: aitemplate, automl, cuda, docker.
- Also covers Inference & Serving.
- When you require low-latency real-time inference performance at less than 1 second
When NOT to use x-stable-diffusion
- For projects that do not require real-time performance or have higher latency tolerance
- If the specific optimizations for Stable Diffusion are not aligned with your model needs
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 Jul 11, 2026
- GitHub forks (CompVis/stable-diffusion) · observed Jul 11, 2026
- Last push (CompVis/stable-diffusion) · observed Jun 18, 2024
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (stochasticai/x-stable-diffusion) · observed Jul 11, 2026
- GitHub forks (stochasticai/x-stable-diffusion) · observed Jul 11, 2026
- Last push (stochasticai/x-stable-diffusion) · observed Dec 4, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: stable-diffusion 73k · x-stable-diffusion 557 (synced Jul 11, 2026).
Common questions
- What is the difference between stable-diffusion and x-stable-diffusion?
- stable-diffusion: A latent text-to-image diffusion model. x-stable-diffusion: Real-time inference for Stable Diffusion - 0.88s latency. See the comparison table for live GitHub stats and shared categories.
- When should I choose stable-diffusion over x-stable-diffusion?
- Choose stable-diffusion over x-stable-diffusion when License: stable-diffusion is Other, x-stable-diffusion is Apache-2.0; x-Stable-Diffusion offers real-time inference for Stable Diffusion with reduced latency, providing an alternative approach to improving performance; Tags unique to stable-diffusion: diffusion-model, latent space, text-to-image; Also covers Computer Vision; For generating images based on text prompts with high fidelity and artistic detail.
- When should I choose x-stable-diffusion over stable-diffusion?
- Choose x-stable-diffusion over stable-diffusion when License: x-stable-diffusion is Apache-2.0, stable-diffusion is Other; x-Stable-Diffusion offers real-time inference for Stable Diffusion with reduced latency, providing an alternative approach to improving performance; Tags unique to x-stable-diffusion: aitemplate, automl, cuda, docker; Also covers Inference & Serving; When you require low-latency real-time inference performance at less than 1 second.
- 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 x-stable-diffusion?
- For projects that do not require real-time performance or have higher latency tolerance If the specific optimizations for Stable Diffusion are not aligned with your model needs
- Is stable-diffusion or x-stable-diffusion more popular on GitHub?
- stable-diffusion has more GitHub stars (73,179 vs 557). Stars measure visibility, not whether either tool fits your constraints.
- Are stable-diffusion and x-stable-diffusion open source?
- Yes - both are open-source projects on GitHub (stable-diffusion: Other, x-stable-diffusion: Apache-2.0).
- Where can I find alternatives to stable-diffusion or x-stable-diffusion?
- GraphCanon lists graph-backed alternatives at stable-diffusion alternatives and x-stable-diffusion alternatives (stable-diffusion markdown twin, x-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 or x-stable-diffusion?
- stable-diffusion: Dormant. x-stable-diffusion: Archived. 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 x-stable-diffusion?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: stable-diffusion trust report; x-stable-diffusion trust report.