What is ControlNet-modules-safetensors?
60/100
Trust Score (C)
⚠️ Use Caution
ControlNet-modules-safetensors is a other that An AI model. It has a Nerq Trust Score of 60/100 (C). 1.4K GitHub stars. Published by webui. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ✅ Community: 1.4K stars, 0 downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
60
TRUST SCORE
C
GRADE
1.4K
STARS
0
DOWNLOADS
What ControlNet-modules-safetensors Does
ControlNet-modules-safetensors is a model in the other category. An AI model. It is published by webui and has no specified license. With 1.4K GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use ControlNet-modules-safetensors
ControlNet-modules-safetensors is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | webui |
|---|---|
| Category | other |
| License | Not specified |
| Type | model |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=controlnet-modules-safetensors
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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| cs-video-courses | 60 | 74.3K |
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| yolov5 | 61 | 56.8K |
| faceswap | 57 | 55.0K |
Frequently Asked Questions
What is ControlNet-modules-safetensors used for?
ControlNet-modules-safetensors is a other tool. An AI model.
Is ControlNet-modules-safetensors free?
License: Check project page. ControlNet-modules-safetensors has 1.4K GitHub stars.
Is ControlNet-modules-safetensors safe?
ControlNet-modules-safetensors has a Nerq Trust Score of 60/100 (C). Use with caution.
What are alternatives to ControlNet-modules-safetensors?
Top alternatives: cs-video-courses, awesome-scalability, superpowers. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.