Update README.md

README.md

@@ -22,11 +22,55 @@ 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.**
+
+## Model description 
+
+**prithivMLmods/SD3.5-Large-Photorealistic-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 & 1.5K |
+| Epoch                     | 10     | Save Every N Epochs       | 1      |
+
+    Labeling: florence2-en(natural language & English)
+    
+    Total Images Used for Training : 40
+    
+## Setting up
+
+```python
+import torch
+from diffusers import StableDiffusion3Pipeline
+
+pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", torch_dtype=torch.bfloat16)
+pipe.load_lora_weights("prithivMLmods/SD3.5-Large-Photorealistic-LoRA", weight_name="Photorealistic-SD3.5-Large-LoRA.safetensors")
+pipe.fuse_lora(lora_scale=1.0)
+pipe.to("cuda")
+
+prompt = "Man in the style of dark beige and brown, uhd image, youthful protagonists, nonrepresentational photography"
+negative_prompt = "(lowres, low quality, worst quality)"
+
+image = pipe(prompt=prompt,
+             negative_prompt=negative_prompt
+             num_inference_steps=24, 
+             guidance_scale=4.0,
+             width=960, height=1280,
+            ).images[0]
+image.save(f"example.jpg")
+```
+
 
 ## Trigger words
 
 You should use `photorealistic` to trigger the image generation.
 
+You should use `photography` to trigger the image generation.
 
 ## Download model