Quality and speed

AfterGen is designed for fast iteration: upload an image, describe the change you want, and get a result quickly — without waiting minutes per try.

The model we use

AfterGen uses Qwen Image Edit 2511, a modern instruction-based image editing model. It can handle both precise “surgical” edits (small, controlled changes) and more creative transformations, while aiming to preserve identity, geometry, and the overall scene.

Fast by default (4 steps)

To keep the editor responsive, AfterGen uses a fast default configuration. In many cases we run edits with only 4 inference steps, which reduces latency and makes it easier to iterate. For difficult edits, better results usually come from doing two or three smaller, well‑scoped edits instead of one big, vague instruction.

High-end NVIDIA GPUs (local inference)

We run the model on high-end NVIDIA GPUs on our own servers. That means:

• Low latency: no slow third‑party API hop per edit.
• Stable throughput: consistent performance under load.
• More control: we can tune the pipeline specifically for image editing.

Quality is not just “more compute”

In practical work, quality often comes from clarity and iteration

• Make one clear change per run.
• Tell the model what must stay unchanged.
• Split complex work into steps.
• Use the “Learn how to prompt” guide for reliable templates.

If you want practical answers you can skim, open “Questions”.