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Image Generator is a dynamic platform designed to provide users with an immersive and innovative experience in image generation. Through our utilization of open-source models, particularly leveraging Hugging Face and its API calls, we offer a unique approach to creating and manipulating images based on textual prompts.

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🌟 Image Generator

Image Generator is a dynamic platform designed to provide users with an immersive and innovative experience in image generation. Through our utilization of open-source models, particularly leveraging Hugging Face and its API calls, we offer a unique approach to creating and manipulating images based on textual prompts.

🚀 Information

  • Developed by: Stability AI
  • Model Type: Diffusion-based text-to-image generative model
  • Model Description: The SD-XL 1.0 is a sophisticated model designed to generate and manipulate images based on textual prompts. It operates as a Latent Diffusion Model, utilizing two fixed, pretrained text encoders (OpenCLIP-ViT/G and CLIP-ViT/L).

💻 Technology Used

  • HTML
  • CSS
  • JavaScript
  • Python
  • Flask
  • LangChain
  • Hugging Face API
  • Large Language Models

Explore the endless creative possibilities of text-to-image generation with Image Generator. Try it out now and unleash your imagination! 🎨🖼️

Run Locally

Clone the project

  git clone https://github.com/anish2105/Image_generator.git

Create virtual environment

  python -m venv venv
  venv\Scripts\activate

Install dependencies

  pip install -r requirements.txt

Start the server

  python app.py

Screenshots

Home Page: Home

HuggingFace Token: HF_token

Enter the prompt: Prompt_page

Download the Picture: Screenshot 2024-03-25 154110

Generated Image Example: Generated

About

Image Generator is a dynamic platform designed to provide users with an immersive and innovative experience in image generation. Through our utilization of open-source models, particularly leveraging Hugging Face and its API calls, we offer a unique approach to creating and manipulating images based on textual prompts.

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