Update README.md

README.md

@@ -22,6 +22,48 @@ license: creativeml-openrail-m
 
 <Gallery />
 
+**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
+
+## Sample Image Grid [ 3 x 2 ]
+
+![prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA](images/5.webp)
+
+## Model description 
+
+**prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-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           | 28 & 3.2K |
+| Epoch                     | 20     | Save Every N Epochs       | 1      |
+
+    Labeling: florence2-en(natural language & English)
+    
+    Total Images Used for Training : 15
+
+## Setting Up
+
+```python
+from diffusers import DiffusionPipeline
+import torch
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model_repo_id = "stabilityai/stable-diffusion-3.5-large-turbo"
+
+torch_dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32
+
+pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+pipe = pipe.to(device)
+
+pipe.load_lora_weights("strangerzonehf/SD3.5-Turbo-Portrait-LoRA", weight_name="SD3.5-Turbo-Portrait.safetensors")
+trigger_word = "Turbo Portrait"  # Specify trigger word for LoRA
+pipe.fuse_lora(lora_scale=1.0))
+```
 ## Trigger words
 
 You should use `Turbo Portrait` to trigger the image generation.