Model

Flux.1 Dev

by Black Forest Labs ID: hf-model--black-forest-labs--flux.1-dev
FNI Rank 35
Percentile Top 1%
Activity
β†’ 0.0%
Audited 35 FNI Score
Tiny - Params
- Context
Hot 1.1M Downloads
Model Information Summary
Entity Passport
Registry ID hf-model--black-forest-labs--flux.1-dev
Provider huggingface

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Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__black_forest_labs__flux.1_dev,
  author = {Black Forest Labs},
  title = {Flux.1 Dev Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/black-forest-labs/FLUX.1-dev}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Black Forest Labs. (2026). Flux.1 Dev [Model]. Free2AITools. https://huggingface.co/black-forest-labs/FLUX.1-dev

πŸ”¬Technical Deep Dive

Full Specifications [+]

⚑ Quick Commands

πŸ€— HF Download
huggingface-cli download black-forest-labs/flux.1-dev

βš–οΈ Free2AI Nexus Index

Methodology β†’ πŸ“˜ What is FNI?
35.0
Top 1% Overall Impact
πŸ”₯ Popularity (P) 0
πŸš€ Velocity (V) 0
πŸ›‘οΈ Credibility (C) 0
πŸ”§ Utility (U) 0
Nexus Verified Data

πŸ’¬ Why this score?

This Flux.1 Dev has a P score of 0 (popularity from downloads/likes), V of 0 (growth velocity), C of 0 (credibility from citations), and U of 0 (utility/deploy support).

Data Verified πŸ• Last Updated: Not calculated
Free2AI Nexus Index | Fair Β· Transparent Β· Explainable | Full Methodology
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πŸš€ What's Next?

README

Neural Fact Sheet: Flux.1 Dev

[!IMPORTANT] Full Disclosure Protocol Active: Primary source documentation is restricted or gated. The following technical intelligence has been extracted from the R2 Production Node and Zero-Limit Knowledge Mesh.

πŸ“Š Core Architecture

  • Parameter Scale: Large Scale
  • Neural Architecture: Neural Transformer
  • Inference Efficiency: 35/100 (FNI Logic Score)
  • License Profile: Proprietary/Restricted

βš™οΈ Technical Capabilities

  • Neural Context Window: Standard (2k-4k) tokens
  • Memory Footprint: Computing... estimated VRAM
  • Pipeline Origin: Standard AI
  • Safety Status: Model utilizes developer-defined safety filters.

πŸš€ Strategic Recommendations

  1. Inference Hub: Recommended for local execution via Ollama or vLLM for private infrastructure.
  2. Context Limits: Optimal performance is maintained within the first Standard (2k-4k) tokens of input.
  3. Hardware Alignment: Ideal for hardware with at least Computing... of high-speed video memory.

For full unrestricted documentation, please click "View Source" in the header.

ZEN MODE β€’ README

⚠️ 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.
  • β€’ Source: Unknown
Top Tier

Social Proof

HuggingFace Hub
12.0KLikes
1.1MDownloads
πŸ”„ Daily sync (03:00 UTC)

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

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

πŸ†” Identity & Source

id
hf-model--black-forest-labs--flux.1-dev
source
huggingface
author
Black Forest Labs
tags
diffuserssafetensorstext-to-imageimage-generationfluxenlicense:otherendpoints_compatiblediffusers:fluxpipelineregion:us

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
null

πŸ“Š Engagement & Metrics

likes
11,984
downloads
1,119,914

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)