Welcome to the Text-to-Image and Video Generation Project! This project is designed to harness the power of modern AI to bring your textual descriptions to life as realistic images and dynamic videos.
- Converts textual descriptions into high-quality, realistic images.
- Utilizes cutting-edge deep learning models for image synthesis.
- Supports fine-grained control over the output's appearance and style.
- Extends text-to-image capabilities to produce dynamic video content.
- Creates smooth transitions and sequences based on text prompts.
- Ideal for generating animations, storytelling, or creative content.
- Input: Provide a textual description of the image or video you want to generate.
- Processing: The system leverages advanced diffusion models to generate the requested output.
- Output: The generated image or video is delivered in a format ready for use or further customization.
- Python 3.8 or later
- Required libraries: PyTorch, Transformers, and Diffusers.
- Clone the repository:
git clone https://github.com/your-repo/text-to-image-video-generation.git
- Navigate to the project directory:
cd text-to-image-video-generation - Install dependencies:
pip install -r requirements.txt
python generate_image.py --text "A serene mountain landscape with a clear blue sky"python generate_video.py --text "A cityscape transitioning from day to night"- Modify generation parameters (e.g., resolution, style) using configuration files or command-line arguments.
- Use your own datasets or fine-tune models for specialized applications.
- Text Input: "A futuristic city at sunset."
- Generated Image: A vibrant depiction of a sci-fi city bathed in warm hues.
- Text Input: "A bird flying over a forest in the morning mist."
- Generated Video: A seamless clip showing a bird's flight through a misty forest.
This project leverages the power of open-source libraries and models, including:
- Diffusers by Hugging Face
- Transformers for text processing
- PyTorch for deep learning tasks
Happy generating! 🎨✨