🧠
Stable Diffusion 2 1 Base model by mrvaiper
⭐ 37.5
🧠
Model

Stable Diffusion 2 1 Base

by mrvaiper mrvaiper/stable-diffusion-2-1-base
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 4
R: Recency 80
Q: Quality 50
Tech Context
1 Params
4.096K Ctx
Vital Performance
33 DL / 30D
Source β†’

Task categories from upstream metadata

🎨AI Art Gen

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny 1B Params
4k Context
33 Downloads
8G GPU ~2GB Est. VRAM
Restricted OPENRAIL++ License
Model Information Summary
Entity Passport
Registry ID mrvaiper/stable-diffusion-2-1-base
License OpenRAIL++
Provider huggingface
πŸ’Ύ

Compute Threshold

~2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mrvaiper_stable_diffusion_2_1_base,
  author = {mrvaiper},
  title = {Stable Diffusion 2 1 Base Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mrvaiper/stable-diffusion-2-1-base}},
  note = {Accessed via Free2AITools.}
}
APA Style
mrvaiper. (2026). Stable Diffusion 2 1 Base [Model]. Free2AITools. https://huggingface.co/mrvaiper/stable-diffusion-2-1-base

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run stable-diffusion-2-1-base
πŸ€— HF Download
huggingface-cli download mrvaiper/stable-diffusion-2-1-base

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 4
Recency (R) 80
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Stable Diffusion 2 1 Base: Authority (A:0), Popularity (P:4), Recency (R:80), 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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⚠️ Incomplete Data

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

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--mrvaiper--stable-diffusion-2-1-base
slug
mrvaiper--stable-diffusion-2-1-base
source
huggingface
author
mrvaiper
license
OpenRAIL++
tags
diffusers, safetensors, stable-diffusion, text-to-image, arxiv:2112.10752, arxiv:2202.00512, arxiv:1910.09700, license:openrail++, endpoints_compatible, diffusers:stablediffusionpipeline, region:us

βš™οΈ Technical Specs

params billions
1
context length
4,096
pipeline tag
text-to-image
vram gb
2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
33

Data indexed from public sources. Updated daily.