DeepFloyd IF performs diffusion not once but several times, generating a 64圆4px image then upscaling the image to 256x256px and finally to 1024x1024px.
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With a typical diffusion model, the model learns how to gradually subtract noise from a starting image made almost entirely of noise, moving it closer step by step to the target prompt. NightCafe CEO Angus Russell spoke to TechCrunch about what makes DeepFloyd IF different from other text-to-image models and why it might represent a significant step forward for generative AI.
Several commercial model vendors are under fire from artists who allege the vendors are profiting from their work without compensating them by scraping that work from the web without permission.īut NightCafe, the generative art platform, was granted early access to DeepFloyd IF. The restriction was likely motivated by the current tenuous legal status of generative AI art models. Trained on a dataset of more than a billion images and text, DeepFloyd IF, which requires a GPU with at least 16GB of RAM to run, can create an image from a prompt like “a teddy bear wearing a shirt that reads ‘Deep Floyd'” - optionally in a range of styles.ĭeepFloyd IF is available in open source, licensed in a way that prohibits commercial use - for now. Last week, DeepFloyd, a research group backed by Stability AI, unveiled DeepFloyd IF, a text-to-image model that can “smartly” integrate text into images. Even the best models struggle to generate images with legible logos, much less text, calligraphy or fonts. The latest systems can conjure up scenescapes from city skylines to cafes, creating images that appear startlingly realistic - at least on first glance.īut one of the longstanding weaknesses of text-to-image AI models is, ironically, text. Generative AI is pretty impressive in terms of its fidelity these days, as viral memes like Balenciaga Pope would suggest.
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