As the company behind Stable Diffusion, Stability AI is best recognized for developing some of the best-known state-of-the-art AI models for a variety of applications, including language, vision, audio, 3D modeling, and more. Billion Company is currently the world’s leading open source generative AI company. In early March this year, Stability AI made its first acquisition after raising funds by buying Init ML, a Paris-based startup responsible for creating the Clipdrop ecosystem of AI-powered imaging apps. With over 15 million people regularly using its apps like Relight picture, Remove Background, Cleanup, etc., Init ML currently operates as an independent subsidiary of Stability AI.
Stability AI acquired Init ML with the intention of combining the knowledge of some of the best minds from both organizations to work towards a shared goal: better AI-powered solutions made by people, for people. Stable Diffusion Reimagine is one such consequence of collaboration between companies to work towards a common goal. Stable Diffusion Reimagine is a new cutting edge Clipdrop tool that allows users to input a single image and generate numerous variations of the image with different themes without any restrictions. The tool uses Stable Diffusion to produce entirely new images influenced by the original instead of recreating the image from scratch using the original data.
The main distinction between Stable Diffusion Reimagine and the conventional text-to-image Stable Diffusion model is that the former does not need fancy text cues. This has been made possible by a new pristine algorithm developed by Stability AI. In terms of model architecture, it changes from the initial text encoder to an image encoder. As a result, images instead of text are produced from an image. After the encoder stage is complete, noise is introduced to induce variations in the generated results. To prevent plagiarism from artists, the developers of Stability AI have made sure that the generator does not use original image pixels at all. This is accomplished by first fully encoding the original image.
The model can also be thought of as a visual representation of a paraphrasing tool because it creates images with new thoughts based on the original image and essentially performs the operation of taking a textual input and rewriting the text visually. The tool can be useful for drawing inspiration from an existing visual notion or creating “reframed” versions of the original graphics. Clients can experiment with different fashion looks, generate new ideas to transform their bedroom, get inspiration for paintings and sketches, and more using Stable Diffusion Reimagine.
As noted above, instead of “recreating” the original input, this method creates similar-looking images with various details and compositions that are “inspired” by the original image. As a result, it also has significant drawbacks, since the model can generate impressive results for some inputs, but not all. To prevent inappropriate requests, the model developers also included a filter. But being error prone, there are chances that the filter might throw up false negatives and false positives occasionally. Also, like several other AI models, even Stable Diffusion Reimagine is not completely free of bias and can sometimes give erroneous results. User feedback will help developers improve their model and work to remove these biases.
Stability AI will soon open the Stable Diffusion Reimagine model as part of its mission to make its models accessible to everyone. The company is fully committed to achieving its goal of delivering more innovative and effective services to its clients, and expects its latest product, Stable Diffusion Reimagine, to be a crucial milestone along the way. The company invites users to experiment with images and ‘reimagine’ their designs through Stable Diffusion Reimagine.
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Khushboo Gupta is a consulting intern at MarktechPost. He is currently pursuing his B.Tech at the Indian Institute of Technology (IIT), Goa. She is passionate about the fields of machine learning, natural language processing, and web development. She likes to learn more about the technical field by participating in various challenges.
