Model Type: LoRA
Trained On: Flux Kontext (via AI Toolkit)
Best Results With: Flux Dev (T2I / I2I modes)
Trigger Word: unflux this
Purpose: Remove unnatural anatomical exaggerations and synthetic skin effects generated by Flux

Note: Even though this LoRA was trained in Flux Kontext, the results obtained with better quality in my opinion are using it together with Flux Dev through T2I or I2I.

in I2I using Flux Dev I liked the result when using the sampler: ipndm or res_2s and most importantly the scheduler: kl_optimal or beta57, it allows you to increase the denoise and have more subtle changes in the input image, so even using a very high denoise like 0.83 (ipndm + kl_optimal) or 0.55 (res_2s + beta57) it will still change little in the reference image.

to unlock access to the latest samplers and schedulers (kl_optimal, res_2s, beta57) that will provide better quality you can install this custom node on comfyui: https://github.com/ClownsharkBatwing/RES4LYF

🧠 What is UnFlux?

UnFlux is a corrective LoRA created to address a specific issue in the Flux family of models (especially Flux Kontext and Flux Dev):
These models tend to generate anatomical distortions and synthetic skin textures, leading to unrealistic or stylized outputs — especially in portraits.

UnFlux v1 was trained to neutralize these distortions and restore a more natural appearance, while preserving the structure, style and lighting of the original generation.

Although trained on Flux Kontext, UnFlux surprisingly performs even better on Flux Dev, producing smoother, more balanced results.

🎯 What UnFlux Fixes

This LoRA focuses on correcting exaggerated or biased details frequently seen in Flux-generated images of people, such as:

• Overly defined jawlines and chins

• Straight and unnatural mandibles

• Square noses with unnatural bridge shapes

• Over-emphasized collarbones (clavicles)

• Plastic-like skin without texture or tone variation

These are not traditional "sharpness" issues, but anatomical rendering artifacts that result from Flux's internal bias toward stylized body features.

🧪 Training Info

• Trainer: AI Toolkit

• Steps: 8,000

• Datasets:

  • Control dataset: 156 images generated by Flux with exaggerated anatomy

  • Target dataset: 156 human-corrected, realistic versions

• LoRA Rank: 32

• Optimizer: Automagic

• Resolution: 1024p (v2 will target high-res realism)

The goal was to teach the model to convert Flux-style artificial anatomy into more natural, humanlike representations.

⚙️ Usage

🔸 Flux Dev (recommended):

• Works best in Text-to-Image (T2I) or Image-to-Image (I2I)

• Add unflux this to your prompt

• Apply LoRA at 1.0 weight for visible effect

🔸 Flux Kontext:

• Also uses unflux this as trigger

• Less effective than on Flux Dev, but still works in transformation pipelines

• Recommended weight: ~0.6 to avoid excessive softness

• This behavior was not intended and is expected to be corrected in v2

Note: Although the LoRA wasn’t trained for skin smoothing, on Flux Dev it appears to soften the skin slightly — an effect not intentionally included in training, and subject to further investigation.

🚀 What's Next in v2

UnFlux v2 is already in development and will feature:

• Training on high-resolution target images

• Restoration of natural skin textures (including pores and tone variation)

• Improved correction for stylized anatomical exaggerations

This upgrade will move beyond just “fixing distortions” and focus on adding realism and depth back into Flux generations.

📥 Download & Use

Just drop this LoRA into your ComfyUI or A1111 pipeline.
Add unflux this in your prompt and set the LoRA weight. No extra setup needed.

📢 Feedback Welcome

Help shape future versions! Share your feedback, results, or use cases.