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Scientists create AI that crafts perfect images by choosing the best tools for the job

Imagine you want to generate a picture of a majestic dragon soaring through a fantasy sky. You could use a single AI model, but you’d likely be disappointed with the results. The dragon might look awkward, the clouds might be unrealistic, and the colours might clash.

Instead, experienced users often rely on complex workflows. They combine multiple specialized AI models, each designed for a specific task. For example, they might use one model to create the dragon, another to generate the clouds, and a third to refine the colours.

But crafting these workflows requires significant expertise. Users need to understand the strengths and weaknesses of each AI model, as well as how to combine them effectively.

Now, researchers at Tel Aviv University and NVIDIA have developed a new AI system that automatically creates personalized workflows for generating images. The system, called ComfyGen, leverages a large language model (LLM) to analyze a user’s text prompt and select the ideal workflow to create the desired image.

“Instead of relying on a single model, we leverage an LLM to choose the best set of tools for the job, based on the specific prompt,” said Rinon Gal, a researcher at Tel Aviv University and NVIDIA. “This allows us to automatically create workflows that are tailored to each user’s request, leading to improved image quality.”

ComfyGen works by analyzing a vast library of pre-existing workflows created by experienced users. The system then uses an LLM to predict the workflow that is most likely to generate high-quality images for a given prompt.

For example, if a user enters the prompt “a photorealistic image of a lion in a jungle,” ComfyGen might choose a workflow that includes models specifically designed for photorealism, animal generation, and jungle landscapes.

“Our work shows that prompt-dependent workflow generation offers a new pathway to improving text-to-image generation quality,” said Gal. “This is just the beginning; we believe that this technology has the potential to revolutionize how we create and interact with AI-generated images.”

This research is a significant step towards making AI image generation more accessible and powerful. As LLMs become more sophisticated and workflow libraries expand, we can expect to see even more impressive results from AI-powered image generation.