What is void-model?
46/100
Trust Score (D)
⚠️ Use Caution
void-model is a video-to-video that An AI model. It has a Nerq Trust Score of 46/100 (D). 960 GitHub stars. Published by Unknown. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 960 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
46
TRUST SCORE
D
GRADE
960
STARS
0
DOWNLOADS
What void-model Does
void-model is a model in the video-to-video category. An AI model. It is published by an independent developer and has no specified license. With 960 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use void-model
void-model is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | video-to-video |
| 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=netflix-void-model
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| LTX2.3-ICEdit-Insight | 44 | 162 |
| MiniMax-H3-Character-Swap-LoRA | 44 | 160 |
| LTX-2.3-22b-IC-LoRA-Ingredients | 44 | 140 |
| Viggle-Animate | 44 | 120 |
| LTX-2.5-22b-IC-LoRA-Alpha-Gen | 44 | 109 |
Frequently Asked Questions
What is void-model used for?
void-model is a video-to-video tool. An AI model.
Is void-model free?
License: Check project page. void-model has 960 GitHub stars.
Is void-model safe?
void-model has a Nerq Trust Score of 46/100 (D). Evaluate carefully.
What are alternatives to void-model?
Top alternatives: LTX2.3-ICEdit-Insight, MiniMax-H3-Character-Swap-LoRA, LTX-2.3-22b-IC-LoRA-Ingredients. See full comparison.
Safety Report Is It Safe?
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Last updated October 2026. Trust scores based on automated analysis of public data.