🧠
lametta model by Lasorco
⭐ 46.3
🧠
Model

lametta

by Lasorco civitai-model--158643
Nexus Index
46.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 59
R: Recency 100
Q: Quality 50
Tech Context
Vital Performance
5.8K DL / 30D
0.0%
Audited 46.3 FNI Score
Tiny - Params
- Context
5.8K Downloads
Restricted COMMERCIAL License
Model Information Summary
Entity Passport
Registry ID civitai-model--158643
License commercial
Provider civitai
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{civitai_model__158643,
  author = {Lasorco},
  title = {lametta Model},
  year = {2026},
  howpublished = {\url{https://free2aitools.com/model/civitai-model--158643}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Lasorco. (2026). lametta [Model]. Free2AITools. https://free2aitools.com/model/civitai-model--158643

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download 158643
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
46.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 59
Recency (R) 100
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for lametta: Semantic (S:50), Authority (A:0), Popularity (P:59), Recency (R:100), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

This model hiya! This model is packed with kawaii! It has been adjusted to output images of cute girls, so it may not be suitable for other outputs. I think it is an interesting model, so please give it a try! Recommended parameters Prompts: As you wish. Negatives: "(worst quality, low quality:1.4)," is strongly recommended. Various other Negative TI. Clip Skip 2 is recommended, but 1 is also interesting. Use Hires.fix if possible. I recommend short prompts. merge recipe lametta v1745 x lametta v1922 = A Simple[ink-prt] x A = B CookieCutter Flex v3.5 x A = C B x C = D A x D(tensor merge) = F A x F(cosine) = G lametta v1930 x F = H spekulatius_v1 x lametta v412(modified) = I H x I = J Rabbit v6 x J = K G x K = lametta v2012 " ClearVAE Variant " included (You can use another VAE if you wish.) thanks! Simple[ink-prt] @ Yuno779 CookieCutter Flex v3.5 @ Kybalico Rabbit v6 @ Rabbit_YourMajesty ClearVAE Variant @ RedRayz See my huggingface for other past merge model credits. Thanks to all the great models, and you!

⚠ī¸ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
5.8KDownloads
🎨 Data Source: CivitAI ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on CivitAI metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
civitai-model--158643
slug
civitai-158643-lametta
source
civitai
author
Lasorco
license
commercial
tags
[, ", f, e, m, a, l, ,, k, w, i, c, u, t, n, g, r, s, b, , o, d, h, p, -, ]

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
text-to-image

📊 Engagement & Metrics

downloads
5,767
stars
0
forks
0

Data indexed from public sources. Updated daily.