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Comparison

DeepSpeed vs image-hijacks

Verdict

Pick DeepSpeed when license: DeepSpeed is Apache-2.0, image-hijacks is MIT; pick image-hijacks when license: image-hijacks is MIT, DeepSpeed is Apache-2.0.

Markdown twin · DeepSpeed alternatives · image-hijacks alternatives

GraphCanon updated today

DeepSpeed logo

DeepSpeed

deepspeedai/DeepSpeed

★ 43kpushed Jul 11, 2026
vs
image-hijacks logo

image-hijacks

euanong/image-hijacks

★ 56pushed Sep 19, 2023

Trust & integrity

SignalDeepSpeedimage-hijacks
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (1026d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
DeepSpeed trust reportimage-hijacks trust reportTrust methodology

Tagline

DeepSpeed
Deep learning optimization library for efficient distributed training and inference
image-hijacks
Official codebase for Image Hijacks: Adversarial Images can Control Generative Models at Runtime

Stars

DeepSpeed
43k
image-hijacks
56

Forks

DeepSpeed
4.9k
image-hijacks
12

Open issues

DeepSpeed
1.3k
image-hijacks
8

Language

DeepSpeed
Python
image-hijacks
Python

Adopt for

DeepSpeed
Decisions for DeepSpeed use are driven by its capacity to handle large models efficiently using techniques such as data parallelism, model parallelism, pipeline parallelism, and compression.
image-hijacks
-

Persona

DeepSpeed
-
image-hijacks
-

Runtime

DeepSpeed
-
image-hijacks
-

License

DeepSpeed
Apache-2.0
image-hijacks
MIT

Last pushed

DeepSpeed
Jul 11, 2026
image-hijacks
Sep 19, 2023

Categories

DeepSpeed
Model Training, Inference & Serving
image-hijacks
Model Training, Computer Vision, Inference & Serving

Trust and health

Maintenance

DeepSpeed
Very active (96%)
image-hijacks
Dormant (18%)

Days since push

DeepSpeed
0d
image-hijacks
1026d

Open issues (now)

DeepSpeed
1.3k
image-hijacks
8

Owner type

DeepSpeed
Organization
image-hijacks
User

Full report

DeepSpeed
Trust report
image-hijacks
Trust report

Choose DeepSpeed if…

  • License: DeepSpeed is Apache-2.0, image-hijacks is MIT.
  • Tags unique to DeepSpeed: deep-learning, gpu, compression, machine-learning.
  • - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters)

When NOT to use DeepSpeed

  • - When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs
  • - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
GitHubDetails

Choose image-hijacks if…

  • License: image-hijacks is MIT, DeepSpeed is Apache-2.0.
  • Tags unique to image-hijacks: python.
  • Also covers Computer Vision.

When NOT to use image-hijacks

  • Last GitHub push was 1026 days ago (dormant maintenance, Sep 19, 2023). Validate activity before betting a new project on image-hijacks.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Explore

DeepSpeed trust report →image-hijacks trust report →Model Training category →Inference & Serving category →Computer Vision category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: DeepSpeed 43k · image-hijacks 56 (synced Jul 11, 2026).

Common questions

What is the difference between DeepSpeed and image-hijacks?
DeepSpeed: Deep learning optimization library for efficient distributed training and inference. image-hijacks: Official codebase for Image Hijacks: Adversarial Images can Control Generative Models at Runtime. See the comparison table for live GitHub stats and shared categories.
When should I choose DeepSpeed over image-hijacks?
Choose DeepSpeed over image-hijacks when License: DeepSpeed is Apache-2.0, image-hijacks is MIT; Tags unique to DeepSpeed: deep-learning, gpu, compression, machine-learning; - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters).
When should I choose image-hijacks over DeepSpeed?
Choose image-hijacks over DeepSpeed when License: image-hijacks is MIT, DeepSpeed is Apache-2.0; Tags unique to image-hijacks: python; Also covers Computer Vision.
When should I avoid DeepSpeed?
- When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
When should I avoid image-hijacks?
Last GitHub push was 1026 days ago (dormant maintenance, Sep 19, 2023). Validate activity before betting a new project on image-hijacks. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is DeepSpeed or image-hijacks more popular on GitHub?
DeepSpeed has more GitHub stars (42,685 vs 56). Stars measure visibility, not whether either tool fits your constraints.
Are DeepSpeed and image-hijacks open source?
Yes - both are open-source projects on GitHub (DeepSpeed: Apache-2.0, image-hijacks: MIT).
Where can I find alternatives to DeepSpeed or image-hijacks?
GraphCanon lists graph-backed alternatives at DeepSpeed alternatives and image-hijacks alternatives (DeepSpeed markdown twin, image-hijacks 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, DeepSpeed or image-hijacks?
DeepSpeed: Very active. image-hijacks: 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 DeepSpeed and image-hijacks?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSpeed trust report; image-hijacks trust report.