Add: diffsketcher README.md with original implementation

README.md

@@ -7,9 +7,13 @@ tags:
 license: mit
 ---
 
-# Vector Graphics Generation
+# DiffSketcher - Vector Graphics Generation
 
-This model generates vector graphics (SVG) from text prompts.
+This model generates vector graphics (SVG) from text prompts using the original DiffSketcher implementation.
+
+## Model Description
+
+DiffSketcher is a state-of-the-art vector graphics generation model that creates high-quality SVG images from text prompts. It uses a diffusion model to guide the SVG generation process.
 
 ## Usage
 
@@ -34,3 +38,16 @@ with open("output.png", "wb") as f:
 - "a red sports car"
 - "a portrait of a woman"
 - "a cat playing with a ball"
+
+## How It Works
+
+1. **Text Encoding**: The text prompt is encoded using CLIP.
+2. **Diffusion Process**: A diffusion model generates a latent representation.
+3. **SVG Generation**: The latent representation is used to generate an SVG.
+4. **PNG Conversion**: The SVG is converted to PNG for display.
+
+## Performance Considerations
+
+- The original implementation requires significant computational resources
+- Generation can take several minutes depending on the complexity
+- GPU acceleration is recommended for optimal performance