I wanted to start a broader future possibilities thread around Stable Diffusion.
A useful angle is getting started, but it also connects with evaluation. 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 Stable Diffusion is genuinely useful and where it still needs improvement.
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A useful angle is getting started, but it also connects with evaluation. 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 Stable Diffusion is genuinely useful and where it still needs improvement.
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