--- license: cc0-1.0 tags: - art --- # CC0_rebuild_attempt **Version Number:** 0.1 ## Summary CC0_rebuild_attempt is a text-to-image model based on the Stable Diffusion 1.5 architecture. It is trained exclusively on CC0 images and other permissive content, aiming to produce high-quality artistic images from given text prompts. The goal is to create a robust and versatile model while ensuring the dataset used is entirely within the public domain, allowing for unrestricted use. ### Training Overview **Input:** Manual captioned images **Output:** Images **Architecture:** Stable Diffusion 1.5 ## Performance Limitations CC0_rebuild_attempt may face challenges in generating highly detailed or realistic images due to the constraints of the CC0 and permissive content datasets. Additionally, the model may underperform in specific domains where high-quality, diverse CC0 images are less prevalent. ## Training Dataset Limitations The model is trained on images and content from the following sources: - **Pexels:** Pexels License - **LIBRESHOT:** CC0 - **Unsplash:** Lite Dataset License - **opengameart.org:** CC0 - **Authors:** CC0 - **Contributors:** CC0 These datasets may not cover all possible themes or subjects comprehensively. The dataset may lack representation of certain modern or niche topics due to the limited availability of such content under these licenses. ## Associated Risks * The model might struggle with generating highly detailed text within images. * There may be limitations in creating complex scenes that require deep compositional understanding. * The quality and diversity of generated images are dependent on the availability and variety of CC0 and permissive content. * Potential bias towards subjects and styles that are more commonly found in CC0 and permissive content datasets. ## Intended Uses * Generative art and design projects * Educational tools and research in generative AI * Creative experimentation and artistic expression * Safe deployment in environments where restrictive content licenses are a concern ```