🧠
Moss Image Custom Blocks model by OzzyGT
⭐ 45.9
🧠
Model

Moss Image Custom Blocks

by OzzyGT ozzygt/moss_image_custom_blocks
Free2AITools Nexus Index
45.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 4
R: Recency 98
Q: Quality 50
Tech Context
Vital Performance
33 DL / 30D
Source β†’

Task categories from upstream metadata

🎨AI Art Gen

Technical Constraints

Experimental / High Latency
Low FNI signal 45.9 FNI Score
Tiny - Params
- Context
33 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID ozzygt/moss_image_custom_blocks
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ozzygt_moss_image_custom_blocks,
  author = {OzzyGT},
  title = {Moss Image Custom Blocks Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/OzzyGT/moss_image_custom_blocks}},
  note = {Accessed via Free2AITools.}
}
APA Style
OzzyGT. (2026). Moss Image Custom Blocks [Model]. Free2AITools. https://huggingface.co/OzzyGT/moss_image_custom_blocks

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download ozzygt/moss_image_custom_blocks

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 33
Popularity (P) 4
Recency (R) 98
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Moss Image Custom Blocks: Authority (A:33), Popularity (P:4), Recency (R:98), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Technical Deep Dive

⚠️ Incomplete Data

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

View Original Source β†’

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.

Social Proof

HuggingFace Hub
33Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source 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--ozzygt--moss_image_custom_blocks
slug
ozzygt--moss_image_custom_blocks
source
huggingface
author
OzzyGT
license
Apache-2.0
tags
diffusers, text-to-image, moss-image, modular-diffusers, en, zh, base_model:openmoss-team/moss-image-sft, base_model:finetune:openmoss-team/moss-image-sft, license:apache-2.0, region:us

βš™οΈ Technical Specs

pipeline tag
text-to-image

πŸ“Š Engagement & Metrics

downloads
33

Data indexed from public sources. Updated daily.