Pixel-Dust
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README.md
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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.
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### Training Overview
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**Input:** Manual captioned images
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**Output:** Images
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* There may be limitations in creating complex scenes that require deep compositional understanding.
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* The quality and diversity of generated images are dependent on the availability and variety of CC0 and permissive content.
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* Potential bias towards subjects and styles that are more commonly found in CC0 and permissive content datasets and the manual capition.
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## Intended Uses
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* Generative art and design projects
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* Educational tools and research in generative AI
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* Creative experimentation and artistic expression
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* Reference for ethical development
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## Authors' Note
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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.
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A mixed technic was used to create te capitons of images, the datatset was segmented my subject and for each it was used a different method such as: GIT for realistic and photo images and CLIP for illustrations at the final everything was human correct.
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### Training Overview
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**Input:** Manual captioned images
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**Output:** Images
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* There may be limitations in creating complex scenes that require deep compositional understanding.
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* The quality and diversity of generated images are dependent on the availability and variety of CC0 and permissive content.
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* Potential bias towards subjects and styles that are more commonly found in CC0 and permissive content datasets and the manual capition.
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* Chek the original open rail
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## Intended Uses
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* Generative art and design projects
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* Educational tools and research in generative AI
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* Creative experimentation and artistic expression
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* Reference for ethical development
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* Please check OpenRAIL and make responsable use of open framework
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## Authors' Note
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