🧠
Eimisanimediffusion 1.0v model by eimiss
⭐ 25.3
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Model

Eimisanimediffusion 1.0v

by eimiss eimiss/eimisanimediffusion_1.0v
Free2AITools Nexus Index
25.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 56
P: Popularity 11
R: Recency 9
Q: Quality 65
Tech Context
0.86B Params
4.096K Ctx
Vital Performance
147 DL / 30D
Source β†’

Task categories from upstream metadata

🎨AI Art Gen

Technical Constraints

Experimental / High Latency
Low FNI signal 25.3 FNI Score
Tiny 0.86B Params
4k Context
147 Downloads
8G GPU ~2GB Est. VRAM
Restricted CREATIVEML License
Model Information Summary
Entity Passport
Registry ID eimiss/eimisanimediffusion_1.0v
License creativeml-openrail-m
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eimiss_eimisanimediffusion_1_0v,
  author = {eimiss},
  title = {Eimisanimediffusion 1.0v Model},
  year = {2022},
  howpublished = {\url{https://huggingface.co/eimiss/EimisAnimeDiffusion_1.0v}},
  note = {Accessed via Free2AITools.}
}
APA Style
eimiss. (2022). Eimisanimediffusion 1.0v [Model]. Free2AITools. https://huggingface.co/eimiss/EimisAnimeDiffusion_1.0v

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run eimisanimediffusion_1.0v
πŸ€— HF Download
huggingface-cli download eimiss/eimisanimediffusion_1.0v

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 56
Popularity (P) 11
Recency (R) 9
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Eimisanimediffusion 1.0v: Authority (A:56), Popularity (P:11), Recency (R:9), Quality (Q:65). 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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πŸš€ What's Next?

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Deployment reference

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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
147Downloads
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--eimiss--eimisanimediffusion_1.0v
slug
eimiss--eimisanimediffusion_1.0v
source
huggingface
author
eimiss
license
creativeml-openrail-m
tags
diffusers, safetensors, stable-diffusion, text-to-image, image-to-image, en, license:creativeml-openrail-m, endpoints_compatible, diffusers:stablediffusionpipeline, region:us

βš™οΈ Technical Specs

params billions
0.86
context length
4,096
pipeline tag
text-to-image
vram gb
1.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
147
stars
0
forks
0

Data indexed from public sources. Updated daily.