Update README.md

README.md

@@ -25,6 +25,89 @@ The Kontext-CAM-Left-View is an experimental adapter for black-forest-lab's FLUX
 
 > You modified the prompt, altering its properties and subjective elements. Note: this is an experimental adapter and may contain artifacts.
 
+---
+
+## **Sample Inferences : Demo**
+
+<table style="width:100%; border-collapse:collapse;">
+  <tr>
+    <td style="width:50%; text-align:center;">
+      <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/lZ8asnkoamFUH1ClFgn6H.jpeg" 
+           alt="Kontext-CAM-Left-View" style="width:100%; height:auto;"/>
+    </td>
+    <td style="width:50%; text-align:center;">
+      <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/F92WuRNLReDYS-nXXBLUz.webp" 
+           alt="Kontext-CAM-Left-View" style="width:100%; height:auto;"/>
+    </td>
+  </tr>
+</table>
+
+<table style="width:100%; border-collapse:collapse;">
+  <tr>
+    <td style="width:50%; text-align:center;">
+      <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/Txk4Mnk7q6wkGFdpe276J.jpeg" 
+           alt="Kontext-CAM-Left-View" style="width:100%; height:auto;"/>
+    </td>
+    <td style="width:50%; text-align:center;">
+      <img src="https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/uHdGFGI-4plezer-JSAjs.webp" 
+           alt="Kontext-CAM-Left-View" style="width:100%; height:auto;"/>
+    </td>
+  </tr>
+</table>
+
+---
+
+## Parameter Settings
+
+| Setting                  | Value                    |
+| ------------------------ | ------------------------ |
+| Module Type              | Adapter                     |
+| Base Model               | FLUX.1 Kontext Dev - fp8 |
+| Trigger Words            | [photo content], render the image from the left-side perspective, keeping consistent lighting, textures, and proportions. Maintain the realism of all surrounding elements while revealing previously unseen left-side details consistent with the object’s or scene’s structure. |
+| Image Processing Repeats | 42                       |
+| Epochs                   | 22                       |
+| Save Every N Epochs      | 1                        |
+
+    Labeling: DeepCaption-VLA-7B(natural language & English)
+    
+    Total Images Used for Training : 800 Image Pairs (400 Start, 400 End)
+
+## Training Parameters
+
+| Setting                     | Value     |
+| --------------------------- | --------- |
+| Seed                        | -         |
+| Clip Skip                   | -         |
+| Text Encoder LR             | 0.00001   |
+| UNet LR                     | 0.00005   |
+| LR Scheduler                | constant  |
+| Optimizer                   | AdamW8bit |
+| Network Dimension           | 64        |
+| Network Alpha               | 32        |
+| Gradient Accumulation Steps | -         |
+
+## Label Parameters
+
+| Setting         | Value |
+| --------------- | ----- |
+| Shuffle Caption | -     |
+| Keep N Tokens   | -     |
+
+## Advanced Parameters
+
+| Setting                   | Value |
+| ------------------------- | ----- |
+| Noise Offset              | 0.03  |
+| Multires Noise Discount   | 0.1   |
+| Multires Noise Iterations | 10    |
+| Conv Dimension            | -     |
+| Conv Alpha                | -     |
+| Batch Size                | -     |
+| Steps   | 3300 & 400(warm up)  |
+| Sampler | euler |
+
+---
+
 ## Trigger words
 
 You should use `[photo content]` to trigger the image generation.