🧠
Model

OpenFLUX.1

by ostris hf-model--ostris--openflux.1
Nexus Index
23.0 Top 2%
P / V / C / U Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
Vital Performance
1.6K DL / 30D
0.0%

After numerous iterations and spending way too much of my own money on compute to train this, I think it is finally at the point I am happy to consider it a beta. I am still going to continue to train it, but the distillation has been mostly trained out of it at this po...

Audited 23 FNI Score
Tiny - Params
- Context
Hot 1.6K Downloads
Model Information Summary
Entity Passport
Registry ID hf-model--ostris--openflux.1
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__ostris__openflux.1,
  author = {ostris},
  title = {OpenFLUX.1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ostris/OpenFLUX.1}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
ostris. (2026). OpenFLUX.1 [Model]. Free2AITools. https://huggingface.co/ostris/OpenFLUX.1

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download ostris/openflux.1

âš–ī¸ Nexus Index V16.5

23.0
ESTIMATED IMPACT TIER
Popularity (P) 0
Freshness (F) 0
Completeness (C) 0
Utility (U) 0

đŸ’Ŧ Index Insight

The Free2AITools Nexus Index for OpenFLUX.1 aggregates Popularity (P:0), Freshness (F:0), and Completeness (C:0). The Utility score (U:0) represents deployment readiness and ecosystem adoption.

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

Technical Deep Dive


license: apache-2.0
library_name: diffusers
pipeline_tag: text-to-image

Beta Version v0.1.0

After numerous iterations and spending way too much of my own money on compute to train this, I think it is finally at the point I am happy to consider it a beta. I am still going to continue to train it, but the distillation has been mostly trained out of it at this point. So phase 1 is complete. Feel free to use it and fine tune it, but be aware that I will likely continue to update it.

What is this?

This is a fine tune of the FLUX.1-schnell model that has had the distillation trained out of it. Flux Schnell is licensed Apache 2.0, but it is a distilled model, meaning you cannot fine-tune it. However, it is an amazing model that can generate amazing images in 1-4 steps. This is an attempt to remove the distillation to create an open source, permissivle licensed model that can be fine tuned.

How to Use

Since the distillation has been fine tuned out of the model, it uses classic CFG. Since it requires CFG, it will require a different pipeline than the original FLUX.1 schnell and dev models. This pipeline can be found in open_flux_pipeline.py in this repo. I will be adding example code in the next few days, but for now, a cfg of 3.5 seems to work well.

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • â€ĸ Source: Unknown
Top Tier

Social Proof

HuggingFace Hub
677Likes
1.6KDownloads
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

🆔 Identity & Source

id
hf-model--ostris--openflux.1
source
huggingface
author
ostris
tags
diffuserssafetensorstext-to-imagelicense:apache-2.0endpoints_compatiblediffusers:fluxpipelineregion:us

âš™ī¸ Technical Specs

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

📊 Engagement & Metrics

likes
677
downloads
1,555

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