🧠
Saf Super Adapt.1 model by kpsss34
⭐ 37.2
🧠
Model

Saf Super Adapt.1

by kpsss34 hf-model--kpsss34--saf_super-adapt.1
Free2AITools Nexus Index
37.2 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 97
Q: Quality 50
Tech Context
Vital Performance
0 DL / 30D
0.0%
Source β†’
Audited 37.2 FNI Score
Tiny - Params
- Context
0 Downloads
Model Information Summary
Entity Passport
Registry ID hf-model--kpsss34--saf_super-adapt.1
Provider huggingface
πŸ“œ

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Academic & Research Attribution

BibTeX 
@misc{hf_model__kpsss34__saf_super_adapt.1,
  author = {kpsss34},
  title = {Saf Super Adapt.1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/kpsss34/SAF_Super-Adapt.1}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
kpsss34. (2026). Saf Super Adapt.1 [Model]. Free2AITools. https://huggingface.co/kpsss34/SAF_Super-Adapt.1

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download kpsss34/saf_super-adapt.1

βš–οΈ Free2AITools Nexus Index V2.0

Methodology Index Protocol
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 97
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Saf Super Adapt.1: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:97), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
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Technical Deep Dive

Super-Adapt-FLUX (SAF)

"Super-Adapt-FLUX is a model designed to modify the mood and tone of images. I experimented extensively, testing and selecting every layer until I found a balanced point at db17 and db18. It doesn’t change the base skin tone, but instead enhances realism and amplifies the signature plastic-like tone present in FLUX. In some cases, if your prompt is not well-crafted, it may cause the image to appear like an oil paintingβ€”please be cautious. Hope you enjoy it."

mask

1

⚠️ Incomplete Data

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πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.
πŸ€— Data Source: Hugging Face β†—
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AI Summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--kpsss34--saf_super-adapt.1
slug
kpsss34--saf_super-adapt.1
source
huggingface
author
kpsss34
license
tags
text-to-image, base_model:black-forest-labs/flux.1-krea-dev, region:us

βš™οΈ Technical Specs

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

πŸ“Š Engagement & Metrics

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