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Stability AI is excited to announce the launch of Stable Diffusion Reimagine! We invite users to use Stable Diffusion to try images and "reimagine" their designs.
Stable Diffusion Reimagine is a new Clipdrop tool that allows users to generate multiple variations of a single image without complex prompts: users simply upload an image to the algorithm to create any number of variations.
In the example below, the image in the upper left corner is the original file input to the tool, while the other images are the "reimagined" works inspired by the original file.
Your bedroom can change with the click of a button:
You can also play with fashion styling:
Clipdrop also has an upscaling feature that allows users to upload small images and generate images with at least double the level of detail:
Usage and Limitations
Stable Diffusion Reimagine does not recreate images driven by the original input. Instead, Stable Diffusion Reimagine creates new images inspired by the original work.
This technology has known limitations: it can produce stunning results based on certain images, while yielding less impressive results for others.
We have installed a filter in the model to block inappropriate requests, but the filter can sometimes yield false positives or negatives.
The model may also sometimes produce anomalous results or exhibit biased behavior. We are eager to collect user feedback to assist our ongoing improvements to the system and mitigate these biases.
Technology
Stable Diffusion Reimagine is based on a new algorithm created by stability.ai. The classic text-to-image stable diffusion model was trained to be conditioned on text input.
This version replaces the original text encoder with an image encoder. Images are generated from images rather than based on text input. After the encoder processes the algorithm, some noise is added to produce variations.
This approach generates images that look similar but have different details and compositions. Unlike image-to-image algorithms, the source image is fully encoded first. This means the generator does not use any single pixel from the original image.
The model for Stable Diffusion Reimagine will soon be open-sourced at:
https://github.com/Stability-AI/stablediffusion/
It is not difficult to see that Stable Diffusion Reimagine likely replaces the CLIP text encoder with the CLIP image encoder, similar to DALLE2.Recommended Reading
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