Comments
>log in to commentHi! anti-slop-vision — Vision quality gates: prompt hygiene plus a VLM judge rubric…. Open source, MIT. Source, docs and issue tracker: https://gitlab.com/ameobius-ai/anti-slop-vision. Feedback on the rule set is welcome.
anti-slug-vision provides Python-based vision quality gates that evaluate image prompts with a VLM judge and return SHIP/FIX/REGEN verdicts.
- for
- Developers building image-generation pipelines who need automated quality checks.
- pricing
- open source
Key features
- Prompt hygiene check — Analyzes image prompts for potential issues before generation.
- VLM judge rubric — Applies a vision-language model to score outputs with SHIP/FIX/REGEN verdicts.
- CLI interface — Run evaluations via a simple Python command-line call.
- MIT licensed — Open source under MIT, free to use and modify.
- Standard-library only — No external dependencies; reads local data and sends nothing elsewhere.
- Model-agnostic — Works with any vision model you specify via the <vision-model> placeholder.
Use cases
- Filter out hallucinated or low-quality images before publishing
- Integrate quality gating into CI pipelines for image generation
- Provide automated feedback to prompt engineers for rewrite suggestions
- Validate generated assets before downstream parsing or review
anti-slop-vision vs alternatives
 anti-slop-vision |  Frameright |  Pipelex |  luoluoAI | |
|---|---|---|---|---|
| Best for | Vision output quality gating | Responsive image handling | Declarative AI workflow definition | Unified model access |
| Pricing | Open source | Free | Free | One time fee |
| DevHunt upvotes | 1 | 78 | 40 | 52 |
| Launched | Oct 2031 | Jan 2023 | Oct 2025 | Sep 2026 |
- anti-slop-vision vs Frameright: Frameright focuses on responsive image behavior, not quality gating of generated visuals.
- anti-slop-vision vs Pipelex: Pipelex provides a declarative language for AI workflows, whereas anti-slop-vision is a specific quality-gate tool.
- anti-slop-vision vs luoluoAI: luoluoAI aggregates model endpoints for cost, while anti-slop-vision evaluates output quality rather than providing access to models.
anti-slop-vision FAQ
How do I run anti-slop-vision?+
Install the Python package and execute `python3 scripts/eval.py img/ --prompt "your prompt" -m <vision-model>`.
Does the tool send my data anywhere?+
No, it reads local files and does not transmit data externally.
What license is anti-slop-vision released under?+
It is released under the MIT license.
Can I use my own vision model?+
Yes, you specify the model with the `-m` flag when running the CLI.
Summarized by DevHunt from ameobius-products.ameobius-lane.workers.dev · Oct 24, 2026. Details may change; check the official site.
