Comparison
image-hijacks vs ColossalAI
Verdict
Pick image-hijacks when license: image-hijacks is MIT, ColossalAI is Apache-2.0; pick ColossalAI when license: ColossalAI is Apache-2.0, image-hijacks is MIT.
Markdown twin · image-hijacks alternatives · ColossalAI alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | image-hijacks | ColossalAI |
|---|---|---|
| Maintenance | Dormant (1026d since push) As of today · github_public_v1 | Steady (46d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- image-hijacks
- Official codebase for Image Hijacks: Adversarial Images can Control Generative Models at Runtime
- ColossalAI
- Making large AI models cheaper, faster and more accessible
Stars
- image-hijacks
- 56
- ColossalAI
- 41k
Forks
- image-hijacks
- 12
- ColossalAI
- 4.5k
Open issues
- image-hijacks
- 8
- ColossalAI
- 501
Language
- image-hijacks
- Python
- ColossalAI
- Python
Adopt for
- image-hijacks
- -
- ColossalAI
- ColossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models.
Persona
- image-hijacks
- -
- ColossalAI
- -
Runtime
- image-hijacks
- -
- ColossalAI
- -
License
- image-hijacks
- MIT
- ColossalAI
- Apache-2.0
Last pushed
- image-hijacks
- Sep 19, 2023
- ColossalAI
- May 25, 2026
Categories
- image-hijacks
- Computer Vision, Inference & Serving, Model Training
- ColossalAI
- Inference & Serving, Model Training
Trust and health
Maintenance
- image-hijacks
- Dormant (18%)
- ColossalAI
- Steady (60%)
Days since push
- image-hijacks
- 1026d
- ColossalAI
- 46d
Open issues (now)
- image-hijacks
- 8
- ColossalAI
- 501
Owner type
- image-hijacks
- User
- ColossalAI
- Organization
Full report
- image-hijacks
- Trust report
- ColossalAI
- Trust report
Shared compatibility
- Python · image-hijacks: Python runtime · ColossalAI: Python runtime
Choose image-hijacks if…
- License: image-hijacks is MIT, ColossalAI 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.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose ColossalAI if…
- License: ColossalAI is Apache-2.0, image-hijacks is MIT.
- Tags unique to ColossalAI: ai, big-model, data-parallelism, deep-learning.
- You require handling extremely large AI models with massive context windows, such as over 2M tokens.
When NOT to use ColossalAI
- You are working in an environment that does not support Linux OS, as ColossalAI currently offers no support for other operating systems.
- Your current CUDA version is less than 11.0 or your GPU compute capability is below 7.0 (pre-V100/RTX20 series).
- You cannot satisfy the minimum hardware and software requirements specified, such as PyTorch >= 2.2 and Python >= 3.7.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (euanong/image-hijacks) · observed Jul 11, 2026
- GitHub forks (euanong/image-hijacks) · observed Jul 11, 2026
- Last push (euanong/image-hijacks) · observed Sep 19, 2023
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (hpcaitech/ColossalAI) · observed Jul 11, 2026
- GitHub forks (hpcaitech/ColossalAI) · observed Jul 11, 2026
- Last push (hpcaitech/ColossalAI) · observed May 25, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: image-hijacks 56 · ColossalAI 41k (synced Jul 11, 2026).
Common questions
- What is the difference between image-hijacks and ColossalAI?
- image-hijacks: Official codebase for Image Hijacks: Adversarial Images can Control Generative Models at Runtime. ColossalAI: Making large AI models cheaper, faster and more accessible. See the comparison table for live GitHub stats and shared categories.
- When should I choose image-hijacks over ColossalAI?
- Choose image-hijacks over ColossalAI when License: image-hijacks is MIT, ColossalAI is Apache-2.0; Tags unique to image-hijacks: python; Also covers Computer Vision.
- When should I choose ColossalAI over image-hijacks?
- Choose ColossalAI over image-hijacks when License: ColossalAI is Apache-2.0, image-hijacks is MIT; Tags unique to ColossalAI: ai, big-model, data-parallelism, deep-learning; You require handling extremely large AI models with massive context windows, such as over 2M tokens.
- 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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid ColossalAI?
- You are working in an environment that does not support Linux OS, as ColossalAI currently offers no support for other operating systems. Your current CUDA version is less than 11.0 or your GPU compute capability is below 7.0 (pre-V100/RTX20 series). You cannot satisfy the minimum hardware and software requirements specified, such as PyTorch >= 2.2 and Python >= 3.7.
- Is image-hijacks or ColossalAI more popular on GitHub?
- ColossalAI has more GitHub stars (41,408 vs 56). Stars measure visibility, not whether either tool fits your constraints.
- Are image-hijacks and ColossalAI open source?
- Yes - both are open-source projects on GitHub (image-hijacks: MIT, ColossalAI: Apache-2.0).
- Where can I find alternatives to image-hijacks or ColossalAI?
- GraphCanon lists graph-backed alternatives at image-hijacks alternatives and ColossalAI alternatives (image-hijacks markdown twin, ColossalAI 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, image-hijacks or ColossalAI?
- image-hijacks: Dormant. ColossalAI: 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 image-hijacks and ColossalAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: image-hijacks trust report; ColossalAI trust report.