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Zoo
Zoo serves as an innovative playground, allowing users to generate photo-realistic images from text inputs using diverse text-to-image AI models. Leveraging latent text-to-image diffusion models, including STABILITY-AISTABLE-DIFFUSION 1.5, STABILITY-AISTABLE-DIFFUSION 2.1, AI-FOREVERKANDINSKY-2, and OpenAI’s DALL-E, Zoo offers a rich exploration experience. Here are the key aspects of Zoo:
Key Models:
- STABILITY-AISTABLE-DIFFUSION 1.5 and 2.1: Latent text-to-image diffusion models for generating images based on natural language descriptions.
- AI-FOREVERKANDINSKY-2: A text2img model trained on internal and LAION HighRes datasets.
- OpenAI’s DALL-E: An AI system creating realistic images and art representations from natural language descriptions.
Usage:
- Users input text descriptions (e.g., “a tilt shift photo of fish tonalism by Ugo Nespolo”) to generate corresponding images.
- Runs on a PostgreSQL database and file storage provided by Supabase.
- Open-source repository available on GitHub.
Powered by Replicate:
- Zoo is powered by Replicate, specializing in providing infrastructure for AI and machine learning projects.
Collaborative Space:
- Valuable resource for researchers and developers exploring text-to-image AI models and their applications.
- Offers an accessible and collaborative platform for exploring advancements in computer vision AI.