What is AnimateLCM-SVD-xt?
56/100
Trust Score (D)
⚠️ Use Caution
AnimateLCM-SVD-xt is a AI tool that An AI model. It has a Nerq Trust Score of 56/100 (D). 197 GitHub stars. Published by wangfuyun. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 197 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
56
TRUST SCORE
D
GRADE
197
STARS
0
DOWNLOADS
What AnimateLCM-SVD-xt Does
AnimateLCM-SVD-xt is a model in the AI tool category. An AI model. It is published by wangfuyun and has no specified license. With 197 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use AnimateLCM-SVD-xt
AnimateLCM-SVD-xt is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | wangfuyun |
|---|---|
| Category | AI tool |
| 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=animatelcm-svd-xt
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| openclaw | 75 | 218.2K |
| tensorflow | 62 | 193.9K |
| AutoGPT | 65 | 181.9K |
| n8n | 69 | 177.3K |
| ollama | 64 | 163.0K |
Frequently Asked Questions
What is AnimateLCM-SVD-xt used for?
AnimateLCM-SVD-xt is a AI tool tool. An AI model.
Is AnimateLCM-SVD-xt free?
License: Check project page. AnimateLCM-SVD-xt has 197 GitHub stars.
Is AnimateLCM-SVD-xt safe?
AnimateLCM-SVD-xt has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to AnimateLCM-SVD-xt?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated September 2026. Trust scores based on automated analysis of public data.