Update README.md

README.md

@@ -9,7 +9,7 @@ HelpingAI is a rapidly growing organization at the forefront of artificial intel
 We're proud to be part of the [Hugging Face](https://huggingface.co/) community. We've shared a wide range of datasets and models that are freely available for public use. These resources are playing a crucial role in advancing AI research and development globally.
 
 ### Models
-1. **OEvortex/HelpingAI-TTI**: A Text-to-image model that can generate realistic and diverse images from natural language descriptions. The model is based on the Dall•E 3 architecture, a large-scale transformer-based vision and language model that can create images of high quality and resolution. The model was trained on a custom dataset of over 20 million images scraped from various sources, such as Flickr, Unsplash, and Pixabay. The model can generate images of up to 256 x 256 pixels in size, with a vocabulary size of 8192.
+1. **OEvortex/HelpingAI-PixelCraft**: A Text-to-image model that can generate realistic and diverse images from natural language descriptions. The model is based on the Dall•E 3 architecture, a large-scale transformer-based vision and language model that can create images of high quality and resolution. The model was trained on a custom dataset of over 20 million images scraped from various sources, such as Flickr, Unsplash, and Pixabay. The model can generate images of up to 256 x 256 pixels in size, with a vocabulary size of 8192.
 2. **OEvortex/HelpingAI-Lite**: A lightweight version of our Text Generation model, optimized for speed and efficiency. It's perfect for tasks where computational resources are limited.
 ### Datasets
 1. **OEvortex/Bhagavad_Gita**: This dataset provides a comprehensive collection of verses from the Bhagavad Gita, a 700-verse Hindu scripture.