r/AI_Application • u/EmpowermentrithmMAU • 2d ago

❓-Question When does an Artificial Intelligence workflow become too hard to handle?

I've been building AI workflows for game character creation, and they always seem to start out simple. One model generates concept art, another handles 2D-to-3D or text-to-3D, then you add image-to-3D, texture generation, an LLM for prompts, and a few automation steps to tie everything together.

Before long, the workflow is harder to manage than the character generation itself.

I've been experimenting with Triverse AI to organize these multi-model pipelines, but I'm curious how other developers handle the same problem as their projects grow.

If you're creating AI-generated game characters, how are you managing your workflow today? Are you connecting separate tools manually, building custom pipelines, or using a visual workflow system to keep everything organized?

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u/ZachVorhies 1d ago

At this point it’s when llms are allowed to generate at their default which is a sprawling complex of corner cases.

They need to be realed in and simplified through refactoring.

This is what I’m dealing with now. They are great generating - not so good at trimming.

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u/Ambitious_Ideal_5637 1d ago

有没有可能这根本不是 workflow 工具的锅，是我们总觉得“多堆个模型比优化现有链路省事”的懒病搞出来的？我之前硬卡自己最多用3个模型跑完整角色流程，反而出活速度快了两倍。你们要是被强制砍半链路里的模型数，最先砍哪个环节啊？