Update README.md

README.md

@@ -40,14 +40,63 @@ license: creativeml-openrail-m
 ---
 # SD3.5-Turbo-Realism-2.0-LoRA
 
+Demo space + Grid Gen Upto 3X2 : https://huggingface.co/spaces/prithivMLmods/SD3.5-TURBO-REALISM (In Use)
+
 <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.**
+
+## Model description 
+
+**prithivMLmods/SD3.5-Turbo-Realism-2.0-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           | 20 & 2350 |
+| Epoch                     | 13     | Save Every N Epochs       | 1      |
+
+    Labeling: florence2-en(natural language & English)
+    
+    Total Images Used for Training : 27
+
+## App File Structure
+
+/project-root/
+
+├── .gitattributes         
+├── README.md      
+├── app.py             
+├── pythonproject.py     
+
+
+## Setting Up
+
+```
+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("prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA", weight_name="SD3.5-Turbo-Realism-2.0-LoRA.safetensors")
+trigger_word = "Turbo Realism"  
+pipe.fuse_lora(lora_scale=1.0)
+```
 
 ## Trigger words
 
 You should use `Turbo Realism` to trigger the image generation.
 
-
 ## Download model
 
 Weights for this model are available in Safetensors format.