Update README.md

README.md

@@ -22,12 +22,58 @@ widget:
   text: 'Glass Cube, A brilliant gold nugget is suspended within a crystal-clear cube-shaped block. The nugget has a naturally irregular surface that shimmers under the lighting, casting faint golden reflections on the inner glass walls. Below the nugget, the words Au Gold 79 are printed in bold black text. The background is stark white, allowing the rich, metallic hue of the gold to stand out vividly. A subtle shadow from the cube falls to the right, adding dimension to the composition.'
 base_model: black-forest-labs/FLUX.1-dev
 instance_prompt: Glass Cube
-
 ---
+
+![1.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/9tZ4Pb9WViboSswJjBxjg.png)
+
 # Flux-Material-Glass-Cube
 
 <Gallery />
 
+---
+
+# Model description for Flux-Material-Glass-Cube
+
+Image Processing Parameters 
+
+| Parameter                 | Value  | Parameter                 | Value  |
+|---------------------------|--------|---------------------------|--------|
+| LR Scheduler              | constant | Noise Offset              | 0.03   |
+| Optimizer                 | AdamW  | Multires Noise Discount   | 0.1    |
+| Network Dim               | 64     | Multires Noise Iterations | 10     |
+| Network Alpha             | 32     | Repeat & Steps           | 18 & 2100 |
+| Epoch                     | 14  | Save Every N Epochs       | 1  |
+
+    Labeling: florence2-en(natural language & English)
+    
+    Total Images Used for Training : 17
+
+## Best Dimensions & Inference
+
+| **Dimensions** | **Aspect Ratio** | **Recommendation**       |
+|-----------------|------------------|---------------------------|
+| 1280 x 832      | 3:2              | Best                     |
+| 1024 x 1024     | 1:1              | Default                  |
+
+### Inference Range
+
+- **Recommended Inference Steps:** 30-35
+
+## Setting Up
+```python
+import torch
+from pipelines import DiffusionPipeline
+
+base_model = "black-forest-labs/FLUX.1-dev"
+pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
+
+lora_repo = "strangerzonehf/Flux-Material-Glass-Cube"
+trigger_word = "Glass Cube"  
+pipe.load_lora_weights(lora_repo)
+
+device = torch.device("cuda")
+pipe.to(device)
+```
 
 ## Trigger words