"Human-in-the-loop" isn't just a buzzword when it comes to generating images.

The Forge / 工坊 Workflows / ComfyUI / 工作流
1

Human-in-the-loop isn’t just some buzzword to make your workflow sound fancy—it’s a real bottleneck in the pipeline. Full-auto batch generation sounds great on paper, but if you’re making e-commerce product images or continuous shots that need character consistency, letting the machine run end-to-end means garbage will flow straight into delivery.

My approach is to insert manual checkpoints at key moments: glance at the composition before finalizing, check again after upscaling and fixing hands, and spot-check a few before batch-applying templates. In ComfyUI, you can totally break the workflow into segments and only proceed after human confirmation.

Which steps need manual intervention and how many checkpoints you add depends on your tolerance for errors. If you want high output without drowning in client complaints, you’ve gotta find that sweet spot through trial and error in your own projects.

2

After fixing the hands, gotta double-check this checkpoint—it’s a must. Otherwise you won’t notice it’s messed up until after you upscale.

3

I use that trick of breaking ComfyUI into separate sections—run each part, get the person to confirm, then move on to the next.

4

I just let the e-commerce main image run fully automated, and the entire batch ended up as junk.

5

Just spot-checking a few images is way easier than checking everything. For jobs with a high tolerance for errors, this is the way to go.

6

The key thing is, how many people you add really depends on the project. If you add too many, your output capacity takes a hit.

7

The hardest part of continuous shots is the manual checking—machines can’t keep the consistency.