Update README.md

README.md

@@ -4,10 +4,6 @@ tags:
 - lora
 - diffusers
 - template:diffusion-lora
-widget:
-- output:
-    url: images/vvvvvvvvvvvvv.png
-  text: '-'
 base_model: black-forest-labs/FLUX.1-Kontext-dev
 instance_prompt: >-
   [photo content], recreate the scene from a top-down perspective. Maintain all
@@ -20,13 +16,67 @@ language:
 pipeline_tag: image-to-image
 library_name: diffusers
 ---
-# Kontext-Top-Down-View
+# **Kontext-Top-Down-View**
 
-<Gallery />
+The Kontext-Top-Down-View is an adapter for black-forest-lab's FLUX.1-Kontext-dev, designed to transform scenes into a top-down perspective while maintaining accurate visual proportions, consistent lighting, and realistic spatial relationships. The model ensures that backgrounds, textures, and environmental details remain natural and contextually coherent, producing high-quality, perspective-accurate visual outputs. It was trained on 800 image pairs (400 start images and 400 end images) to achieve precise, geometry-consistent top-down scene generation.
 
 > [!note]
 [photo content], recreate the scene from a top-down perspective. Maintain all visual proportions, lighting consistency, and realistic spatial relationships. Ensure the background, textures, and environmental shadows remain naturally aligned from this elevated angle.
 
+
+---
+
+## Parameter Settings
+
+| Setting                  | Value                    |
+| ------------------------ | ------------------------ |
+| Module Type              | Adapter                     |
+| Base Model               | FLUX.1 Kontext Dev - fp8 |
+| Trigger Words            | [photo content], upscale the low-quality image to 4K resolution, enhancing sharpness, clarity, and fine details while preserving the original texture, colors, lighting, and natural appearance. Remove noise, blur, and compression artifacts without over-smoothing or distorting facial or object features. Ensure realistic depth, balanced contrast, and accurate tones, achieving a high-definition, lifelike result that maintains the integrity of the original image. |
+| Image Processing Repeats | 50                       |
+| Epochs                   | 25                       |
+| 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   | 3800 & 400(warm up)  |
+| Sampler | euler |
+
+---
+
 ## Trigger words
 
 You should use `[photo content]` to trigger the image generation.
@@ -44,5 +94,4 @@ You should use `and environmental shadows remain naturally aligned from this ele
 
 ## Download model
 
-
 [Download](/prithivMLmods/Kontext-Top-Down-View/tree/main) them in the Files & versions tab.