Comparison
oumi vs x-stable-diffusion
Verdict
Pick oumi if oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others; 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 · oumi alternatives · x-stable-diffusion alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | oumi | x-stable-diffusion |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1d · github_public_v1 | Archived (971d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- oumi
- Easily fine-tune, evaluate and deploy open source LLMs/VLMs
- x-stable-diffusion
- Real-time inference for Stable Diffusion - 0.88s latency
Stars
- oumi
- 9.4k
- x-stable-diffusion
- 557
Forks
- oumi
- 784
- x-stable-diffusion
- 33
Open issues
- oumi
- 34
- x-stable-diffusion
- 22
Language
- oumi
- Python
- x-stable-diffusion
- Jupyter Notebook
Adopt for
- oumi
- Oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others.
- 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
- oumi
- -
- x-stable-diffusion
- -
Runtime
- oumi
- -
- x-stable-diffusion
- -
License
- oumi
- Oumi is released under Apache-2.0 license, providing users with a permissive free software license that includes the terms of the MIT License while also addressing patent liability issues.
- x-stable-diffusion
- Apache-2.0
Last pushed
- oumi
- Aug 21, 2026
- x-stable-diffusion
- Dec 4, 2023
Categories
- oumi
- Evaluation & Observability, Inference & Serving, Model Training
- x-stable-diffusion
- Inference & Serving, Model Training
Trust and health
Maintenance
- oumi
- Very active (96%)
- x-stable-diffusion
- Archived (8%)
Days since push
- oumi
- 1d
- x-stable-diffusion
- 971d
Archived on GitHub
- oumi
- No
- x-stable-diffusion
- Yes
Open issues (now)
- oumi
- 34
- x-stable-diffusion
- 22
Stars delta
- oumi
- +17 (30d)
- x-stable-diffusion
- Unknown
Open issues delta
- oumi
- +3 (30d)
- x-stable-diffusion
- Unknown
Full report
- oumi
- Trust report
- x-stable-diffusion
- Trust report
Choose oumi if…
- oumi is primarily Python; x-stable-diffusion is Jupyter Notebook.
- Requirements: Requires Docker; Docker is used for standardized and portable environment deployments..
- Tags unique to oumi: dpo, evaluation, fine-tuning, llms.
- Also covers Evaluation & Observability.
- oumi ships Docker support for self-hosted deployment.
- - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.
When NOT to use oumi
- - If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations.
- - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series).
Choose x-stable-diffusion if…
- x-stable-diffusion is primarily Jupyter Notebook; oumi is Python.
- Tags unique to x-stable-diffusion: aitemplate, automl, cuda, docker.
- 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 (oumi-ai/oumi) · observed Aug 23, 2026
- GitHub forks (oumi-ai/oumi) · observed Aug 23, 2026
- Last push (oumi-ai/oumi) · observed Aug 21, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (stochasticai/x-stable-diffusion) · observed Aug 2, 2026
- GitHub forks (stochasticai/x-stable-diffusion) · observed Aug 2, 2026
- Last push (stochasticai/x-stable-diffusion) · observed Dec 4, 2023
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: oumi 9.4k · x-stable-diffusion 557 (synced Aug 23, 2026).
Common questions
- What is the difference between oumi and x-stable-diffusion?
- oumi: Easily fine-tune, evaluate and deploy open source LLMs/VLMs. 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 oumi over x-stable-diffusion?
- Choose oumi over x-stable-diffusion when oumi is primarily Python; x-stable-diffusion is Jupyter Notebook; Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.; Tags unique to oumi: dpo, evaluation, fine-tuning, llms; Also covers Evaluation & Observability; oumi ships Docker support for self-hosted deployment; - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.
- When should I choose x-stable-diffusion over oumi?
- Choose x-stable-diffusion over oumi when x-stable-diffusion is primarily Jupyter Notebook; oumi is Python; Tags unique to x-stable-diffusion: aitemplate, automl, cuda, docker; When you require low-latency real-time inference performance at less than 1 second.
- When should I avoid oumi?
- - If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations. - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series).
- 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 oumi or x-stable-diffusion more popular on GitHub?
- oumi has more GitHub stars (9,376 vs 557). Stars measure visibility, not whether either tool fits your constraints.
- Are oumi and x-stable-diffusion open source?
- Yes - both are open-source projects on GitHub (oumi: Apache-2.0, x-stable-diffusion: Apache-2.0).
- Where can I find alternatives to oumi or x-stable-diffusion?
- GraphCanon lists graph-backed alternatives at oumi alternatives and x-stable-diffusion alternatives (oumi 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, oumi or x-stable-diffusion?
- oumi: Very active. 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 oumi and x-stable-diffusion?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: oumi trust report; x-stable-diffusion trust report.