This is a training of a public LoRA style (2 seperate training each on 4x A6000).

Experimenting captions vs non-captions. So we will see which yields best results for style training on FLUX.

Generated captions with multi-GPU batch Joycaption app.

I am showing 5 examples of what Joycaption generates on FLUX dev. Left images are the original style images from the dataset.

# I used my multi-GPU Joycaption APP (used 8x A6000 for ultra fast captioning)
# https://www.patreon.com/posts/110613301

<img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/LTfUYHXCpcwzt3_us0R26.png" alt="Joycaption examples" style="max-height: 500px; width: auto;">

# I used my Gradio batch caption editor to edit some words and add activation token as ohwx 3d render
# https://www.patreon.com/posts/108992085

<img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/BleDJpEMrCMXXRTCPKJqb.png" alt="Gradio batch caption editor" style="max-height: 500px; width: auto;">

The no caption dataset uses only ohwx 3d render as caption

# I am using my newest 4x_GPU_Rank_1_SLOW_Better_Quality.json on 4X A6000 GPU and train 500 epochs - 114 images
# https://www.patreon.com/posts/110879657</h1>

<img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/jK75d8i1x5hAHSYSsJNBd.png" alt="Training configuration" style="max-height: 500px; width: auto;">

Total step count is being 500 * 114 / 4 (4x GPU - batch size 1) = 14250

Taking 37 hours currently if I don't terminate early

Will save a checkpoint once every 25 epochs

1 : https://youtu.be/bupRePUOA18

### [**FLUX: The First Ever Open Source txt2img Model Truly Beats Midjourney & Others - FLUX is Awaited SD3**](https://youtu.be/bupRePUOA18)

[![image](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/dguyYoaghc8IVdBrKMDkl.png)](https://youtu.be/bupRePUOA18)

2 : https://youtu.be/nySGu12Y05k

### [**FLUX LoRA Training Simplified: From Zero to Hero with Kohya SS GUI (8GB GPU, Windows) Tutorial Guide**](https://youtu.be/nySGu12Y05k)

[![image](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/5oeVl6mmaRyYZkxuXSShm.png)](https://youtu.be/nySGu12Y05k)

3 : https://youtu.be/-uhL2nW7Ddw

### [**Blazing Fast & Ultra Cheap FLUX LoRA Training on Massed Compute & RunPod Tutorial - No GPU Required!**](https://youtu.be/-uhL2nW7Ddw)

[![image](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/hPBegzqT2A52hrveI7buf.png)](https://youtu.be/-uhL2nW7Ddw)


Hopefully will share trained LoRA on Hugging Face and CivitAI along with full dataset including captions.

I got permission to share dataset but can't be used commercially.

Also I will hopefully share full workflow in the CivitAI and Hugging Face LoRA pages.

So far 450 epochs completed

<img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/7ZFz_ZW53ipp8LHYuPPSg.png" alt="Training progress" style="max-height: 500px; width: auto;">