lorenzomarines / d-journey

Midjourney v6 text-to-image quality model but Open and Decentralized

  • Public
  • 432 runs
  • SDXL fine-tune
  • Paper
  • License

Input

Output

Run time and cost

This model runs on Nvidia A40 (Large) GPU hardware. Predictions typically complete within 22 seconds.

Readme

On behalf of the D-AI project (Decentralized-AI), I introduce d-journey (decentralized-journey), the first AI text-to-image model developed by D-AI for generating high-quality images with prompts enabled for a multilingual system capable of matching the performance of Midjourney V6. This model is dedicated to laying the foundation for the evolution of D-AI’s text-to-image production models, known as Astra. The Astra family of models will offer a mix of pioneering innovation in datasets, data selection, data representation standards, and image resolution. d-journey, along with other upscaling models, will be used as a data generator for training the Astra model family. D-AI is an innovative startup and an ambitious project aimed at making knowledge public in relation to pioneering methodologies for optimizing generative AI models. Our approach is defined by a meticulous study of the humanities; our first mission is to innovate in humanities, psychology, and neuroscience, by proposing pioneering theoretical papers and writings from which we dismantle logics and metrics for application in the field of generative AI as a research laboratory. Our goal is to publish innovative technologies and make them accessible to everyone with the highest possible transparency before they are patented and made private. Our network, “Luminari,” recorded on-chain on the Polygon network, allows anyone to work on our technologies, propose pioneering ideals in a decentralized manner, and create a community of developers capable of supporting the project in the name of the evolution of open-source technologies. Our models are entirely open source, decentralized, and available to the public for non-profit use. Decentralized models are so named because all datasets used for training are made public and accessible on-chain. Anyone will be able to replicate their own d-journey and build complex mechanics on our model.

For exceptional results you can enter this textual prompt as a negative prompt :

deformed iris, deformed pupils, semi-realistic, text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, blurry, low quality , bad quality , Not detailed, watermark, deformed figures, lack of details, bad anatomy, blurry, extra arms, extra fingers, poorly drawn hands, disfigured, tiling, deformed, mutated ,ugly, disfigured, low quality, blurry ,distorted, blur, smooth, low-quality, warm, haze, over-saturated, high-contrast, out of focus, dark, worst quality, low quality