Update README.md

README.md

@@ -28,10 +28,54 @@ base_model: Qwen/Qwen-Image
 instance_prompt: Qwen Anime
 license: apache-2.0
 ---
-# Qwen-Anime-LoRA
+# Qwen-Image-Anime-LoRA
 
 <Gallery />
 
+---
+
+# Model description for Qwen-Image-Anime-LoRA
+
+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           | 25 & 3000 |
+| Epoch                     | 20  | Save Every N Epochs       | 1  |
+
+    Labeling: florence2-en(natural language & English)
+    
+    Total Images Used for Training : 44 [HQ Images]
+
+## Best Dimensions & Inference
+
+| **Dimensions** | **Aspect Ratio** | **Recommendation**       |
+|-----------------|------------------|---------------------------|
+| 1664 x 928      | 16:9 (approx.)              | Best                     |
+| 1024 x 1024     | 1:1              | Default                  |
+
+### Inference Range
+
+- **Recommended Inference Steps:** 40-50
+
+## Setting Up
+```python
+import torch
+from diffusers import DiffusionPipeline
+
+base_model = "Qwen/Qwen-Image"
+pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
+
+lora_repo = "prithivMLmods/Qwen-Image-Anime-LoRA"
+trigger_word = "Qwen Anime"  
+pipe.load_lora_weights(lora_repo)
+
+device = torch.device("cuda")
+pipe.to(device)
+```
 
 ## Trigger words