Update README.md

README.md

@@ -6,19 +6,22 @@ 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 multi-GPU Joycaption APP (used 8x A6000 for ultra fast captioning)
+# https://www.patreon.com/posts/110613301
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/LTfUYHXCpcwzt3_us0R26.png)
+<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
+# 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
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/BleDJpEMrCMXXRTCPKJqb.png)
+<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
+# 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>
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/jK75d8i1x5hAHSYSsJNBd.png)
+<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
 
@@ -26,9 +29,24 @@ 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
+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)
 
-# Full Cloud Kohya LoRA training tutorial (Massed Compute + RunPod) : https://youtu.be/-uhL2nW7Ddw
 
 Hopefully will share trained LoRA on Hugging Face and CivitAI along with full dataset including captions.
 
@@ -38,5 +56,4 @@ Also I will hopefully share full workflow in the CivitAI and Hugging Face LoRA p
 
 So far 450 epochs completed
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/7ZFz_ZW53ipp8LHYuPPSg.png)
-
+<img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/7ZFz_ZW53ipp8LHYuPPSg.png" alt="Training progress" style="max-height: 500px; width: auto;">