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This is a training of 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. |
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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. |
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# I used my multi-GPU Joycaption APP (used 8x A6000 for ultra fast captioning) |
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# https://www.patreon.com/posts/110613301 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/LTfUYHXCpcwzt3_us0R26.png" alt="Joycaption examples" style="max-height: 500px; width: auto;"> |
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# I used my Gradio batch caption editor to edit some words and add activation token as ohwx 3d render |
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# https://www.patreon.com/posts/108992085 |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/BleDJpEMrCMXXRTCPKJqb.png" alt="Gradio batch caption editor" style="max-height: 500px; width: auto;"> |
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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 |
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# https://www.patreon.com/posts/110879657</h1> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/jK75d8i1x5hAHSYSsJNBd.png" alt="Training configuration" style="max-height: 500px; width: auto;"> |
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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 |
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Will save a checkpoint once every 25 epochs |
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1 : https://youtu.be/bupRePUOA18 |
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### [**FLUX: The First Ever Open Source txt2img Model Truly Beats Midjourney & Others - FLUX is Awaited SD3**](https://youtu.be/bupRePUOA18) |
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[![image](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/dguyYoaghc8IVdBrKMDkl.png)](https://youtu.be/bupRePUOA18) |
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2 : https://youtu.be/nySGu12Y05k |
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### [**FLUX LoRA Training Simplified: From Zero to Hero with Kohya SS GUI (8GB GPU, Windows) Tutorial Guide**](https://youtu.be/nySGu12Y05k) |
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[![image](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/5oeVl6mmaRyYZkxuXSShm.png)](https://youtu.be/nySGu12Y05k) |
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3 : https://youtu.be/-uhL2nW7Ddw |
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### [**Blazing Fast & Ultra Cheap FLUX LoRA Training on Massed Compute & RunPod Tutorial - No GPU Required!**](https://youtu.be/-uhL2nW7Ddw) |
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[![image](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/hPBegzqT2A52hrveI7buf.png)](https://youtu.be/-uhL2nW7Ddw) |
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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. |
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Also I will hopefully share full workflow in the CivitAI and Hugging Face LoRA pages. |
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So far 450 epochs completed |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/7ZFz_ZW53ipp8LHYuPPSg.png" alt="Training progress" style="max-height: 500px; width: auto;"> |