I wanted to start a broader creative experiments thread around Google Image Generation.
A useful angle is data quality, but it also connects with setup choices. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where Google Image Generation is genuinely useful and where it still needs improvement.
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A useful angle is data quality, but it also connects with setup choices. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where Google Image Generation is genuinely useful and where it still needs improvement.
Photo by on
