Update README.md

README.md

@@ -6,17 +6,17 @@ 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)
 
-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)
 
 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
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/jK75d8i1x5hAHSYSsJNBd.png)
 
@@ -26,9 +26,9 @@ 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 Windows Kohya LoRA training tutorial : https://youtu.be/nySGu12Y05k
 
-Full Cloud Kohya LoRA training tutorial (Massed Compute + RunPod) : 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.
 
@@ -38,4 +38,5 @@ 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)