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I started training a public LoRA style (2 seperate training each on 4x A6000).
I started training a public LoRA style (2 seperate training each on 4x A6000).
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Experimenting captions vs non-captions. So we will see which yields best results for style training on FLUX.
Experimenting captions vs non-captions. So we will see which yields best results for style training on FLUX.
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Generated captions with multi-GPU batch Joycaption app.
Generated captions with multi-GPU batch Joycaption app.
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I am showing 5 examples of what Joycaption generates on FLUX dev. Left images are the original style images from the dataset.
I am showing 5 examples of what Joycaption generates on FLUX dev. Left images are the original style images from the dataset.
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I used my multi-GPU Joycaption APP (used 8x A6000 for ultra fast captioning) : 
I used my multi-GPU Joycaption APP (used 8x A6000 for ultra fast captioning) : 
link
https://www.patreon.com/posts/110613301
https://www.patreon.com/posts/110613301
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I used my Gradio batch caption editor to edit some words and add activation token as ohwx 3d render : 
I used my Gradio batch caption editor to edit some words and add activation token as ohwx 3d render : 
link
https://www.patreon.com/posts/108992085
https://www.patreon.com/posts/108992085
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The no caption dataset uses only ohwx 3d render as caption
The no caption dataset uses only ohwx 3d render as caption
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I am using my newest 4x_GPU_Rank_1_SLOW_Better_Quality.json on 4X A6000 GPU and train 500 epochs — 114 images : 
I am using my newest 4x_GPU_Rank_1_SLOW_Better_Quality.json on 4X A6000 GPU and train 500 epochs — 114 images : 
link
https://www.patreon.com/posts/110879657
https://www.patreon.com/posts/110879657
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Total step count is being 500 * 114 / 4 (4x GPU — batch size 1) = 14250
Total step count is being 500 * 114 / 4 (4x GPU — batch size 1) = 14250
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Taking 37 hours currently if I don’t terminate early
Taking 37 hours currently if I don’t terminate early
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Will save a checkpoint once every 25 epochs
Will save a checkpoint once every 25 epochs
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Full Windows Kohya LoRA training tutorial : 
Full Windows Kohya LoRA training tutorial : 
link
https://youtu.be/nySGu12Y05k
https://youtu.be/nySGu12Y05k
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Full cloud tutorial I am still editing
Full cloud tutorial I am still editing
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Hopefully will share trained LoRA on Hugging Face and CivitAI along with full dataset including captions.
Hopefully will share trained LoRA on Hugging Face and CivitAI along with full dataset including captions.
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I got permission to share dataset but can’t be used commercially.
I got permission to share dataset but can’t be used commercially.
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Also I will hopefully share full workflow in the CivitAI and Hugging Face LoRA pages.
Also I will hopefully share full workflow in the CivitAI and Hugging Face LoRA pages.
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I started training 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

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

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

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

Full Windows Kohya LoRA training tutorial : https://youtu.be/nySGu12Y05k

Full cloud tutorial I am still editing

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.


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