NEW Flux Upscaler Gives INSANE Results!

The video showcases a new upscaling model from Flux that significantly enhances images by removing compression artifacts and restoring fine details, particularly effective for reviving older photos. The presenter also mentions two additional Control Net models for generating normal maps and depth mapping, while expressing excitement for future updates that will improve accessibility and functionality.

In the video, the presenter introduces three new Control Net models for Flux, highlighting one particular upscaling model that has left a strong impression on them. The video begins with an overview of the upscaling model’s capabilities, emphasizing its potential to enhance images significantly. While there is currently no update for Control Net that allows for local running, users can access an online demo, although it may be busy at times.

The presenter demonstrates the upscaling model using an original image of a cat that was heavily compressed and resized, resulting in a pixelated and low-detail version. They showcase the impressive results of the upscaling process, which effectively removes compression artifacts and restores details that were lost in the original image. The transformation is described as almost magical, as the upscaled image reveals fine details like the cat’s beard hairs and facial features that were previously indistinguishable.

While the presenter acknowledges that the quality of the upscaled images may not be entirely authentic—especially when applied to human faces—they express excitement about the model’s ability to enhance older photos that may have noise and detail loss. The upscaling model’s performance is particularly praised for its effectiveness in reviving older images, making them appear sharper and more detailed.

In addition to the upscaling model, the video mentions the release of two other Control Net models: one for generating normal maps and another for depth mapping. However, the presenter notes that these models currently do not have local running capabilities or online demos available. They anticipate updates for these models in the near future, which would allow for broader accessibility and functionality.

The video concludes with the presenter expressing their eagerness to experiment with the upscaling model on their collection of old photos. They encourage viewers to try the online demo and invite them to like the video and subscribe for more content. The overall tone is enthusiastic, reflecting the presenter’s amazement at the advancements in image processing technology.