Update README.md

README.md

@@ -31,36 +31,21 @@ Clean results.
 
 For best results:
 
-```python
 num_inference_steps = 6
 guidance_scale = 1.5
 scheduler = LCMScheduler
+
 Lower guidance gives cleaner results.
 Higher guidance may introduce instability due to LCM behavior.
 
 🧠 Why LiteVision?
-Traditional SD 1.5 models require 20–30 steps for good quality.
-
-LiteVision-v1 is tuned for:
-
-Faster sampling
-
-Lower compute
-
-Minimal VRAM usage
+Traditional SD 1.5 models require 20–30 steps for good quality. LiteVision ONLY requires about 6 steps.
 
-Rapid prototyping
 
-Perfect for:
-
-Real-time applications
-
-Low-power GPUs
-
-Quick generation workflows
 
 🛠 Usage
 python
+```
 Copy code
 import torch
 from diffusers import DiffusionPipeline
@@ -79,6 +64,8 @@ image = pipe(
 ).images[0]
 
 image.save("litevision_output.png")
+```
+
 📦 Architecture
 UNet: SD 1.5 compatible