Faster Iteration in Image Generation in ComfyUI Using This Technique – Beginner Tip

/ Pushakar Gaikwad

If you want faster iteration in image generation in ComfyUI, use this practical technique to quickly refine your images and streamline your workflow.

Workflow in ComfyUI showing faster iteration in image generation using Flux model, fixed seed, DPM++ 2M sampler, Karras scheduler, and generating a high-quality image in 1 step

Steps for Faster Iteration in Image Generation in ComfyUI

  1. Fix the seed to ensure output consistency when generating images.
  2. Use converging samplers like euler or dpmpp_2m for reliable, repeatable results.
    Tip: Avoid non-converging or stochastic samplers (such as euler_a or ddpm) if you want to keep the same image for a given seed.
  3. Start with a low number of steps (for example, 10–20) to generate images faster and get a quick preview of the composition.
  4. Generate an image and review the output. If you’re not satisfied, increment the seed by one or try a different value to explore more options rapidly.
  5. When you like a result, keep the same seed and increase the number of steps (e.g., 30–50 or higher) to produce a more detailed and higher-quality image.
  6. Advanced: For your final render, try samplers like DPM++ 2M Karras for even higher quality. You can also experiment with ComfyUI custom nodes and extensions for greater control over the sampling process.
ComfyUI Flux model, DPM++ 2M Karras sampler, 1 step, fixed seed – rapid image generation result.
Result from 1 step: Fastest generation with base details.
ComfyUI Flux model, DPM++ 2M Karras sampler, 4 steps, fixed seed – improved detail with minimal steps.
Result from 4 steps: Noticeably more detail while still very fast.
ComfyUI Flux model, DPM++ 2M Karras sampler, 10 steps, fixed seed – higher detail after faster iteration.
Result from 10 steps: Greater detail and quality after quick iteration.
Comparison of image quality in ComfyUI using Flux model and DPM++ 2M Karras sampler at 1, 4, and 10 steps. See how faster iteration delivers quick previews and increasing detail with each step.

Why This Technique Enables Faster Iteration in Image Generation in ComfyUI

Converging samplers such as euler and dpmpp_2m produce nearly identical images for the same seed, no matter the step count. This allows you to iterate rapidly with fewer steps, find a composition you like, and then enhance image quality simply by increasing the step count—without losing the image you prefer.

This workflow does not work with non-converging or stochastic samplers like euler_a or ddpm, which can create different images even for the same seed and prompt. That’s why this approach to faster iteration in image generation in ComfyUI is focused on converging samplers.

Using this method saves time, reduces frustration, and lets you efficiently reach your ideal output.

Conclusion

Faster iteration in image generation in ComfyUI allows you to experiment quickly, lock in your favorite composition, and then boost quality without losing your progress. As the gallery shows, even a single step produces impressive results with the right sampler and seed, while a few extra steps add significant detail. By following this technique, you can save time and consistently achieve high-quality AI art

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