What is Kroma-GGUF?
39/100
Trust Score (E)
🔴 Avoid
Kroma-GGUF is a text-to-image that An AI model. It has a Nerq Trust Score of 39/100 (E). 3 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: 3 stars, 207 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
39
TRUST SCORE
E
GRADE
3
STARS
207
DOWNLOADS
What Kroma-GGUF Does
Kroma-GGUF is a model in the text-to-image category. An AI model. It is published by an independent developer and has no specified license. With 3 GitHub stars and 207 downloads, it has a small community of users and contributors.
Who Should Use Kroma-GGUF
Kroma-GGUF is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | text-to-image |
| 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=voldemir-kroma-gguf
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Qwen-Image-2.1-Uncensored-Quantized | 48 | 4.2K |
| Qwen-Image-2.1 | 47 | 1.8K |
| Qwen-Image-2.1-Uncensored-GGUF | 47 | 1.2K |
| Qwen-Image-2.1-Turbo | 46 | 718 |
| ideogram-4-fp8 | 46 | 700 |
Frequently Asked Questions
What is Kroma-GGUF used for?
Kroma-GGUF is a text-to-image tool. An AI model.
Is Kroma-GGUF free?
License: Check project page. Kroma-GGUF has 3 GitHub stars.
Is Kroma-GGUF safe?
Kroma-GGUF has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to Kroma-GGUF?
Top alternatives: Qwen-Image-2.1-Uncensored-Quantized, Qwen-Image-2.1, Qwen-Image-2.1-Uncensored-GGUF. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
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Last updated October 2026. Trust scores based on automated analysis of public data.