OutfitGen FAQ
How Long Does an AI Outfit Swap Take?
Most OutfitGen edits finish in under 10 seconds. Learn what can affect processing time and how to avoid preventable retries.
Generation time is only part of the workflow
The model runs on server-side infrastructure, so there is no large model download and no need for a high-end local computer. Once the upload and prompt reach the service, a typical generation completes in seconds. A slower network can add time before processing begins or while the finished image downloads.
The first result is not always the final result. If the source is blurry, the prompt combines many changes, or the garment is heavily obscured, you may spend more time refining and retrying than waiting for any single generation.
What can make an edit take longer
- High service demand can place a request in a short queue.
- Pro mode and complex reference-based edits may require more processing than a simple Standard change.
- Large uploads and slow mobile connections add transfer time.
- Requests that change an outfit, pose, background, and style together are harder to resolve cleanly.
- Group photos, occluded clothing, and unclear prompts often lead to extra attempts even if each attempt is fast.
Get to a usable result faster
Use a clear source image, name one main edit, and state what should stay unchanged. If a particular garment matters, upload a clean reference image rather than trying to describe every seam and pattern in text.
Do not repeatedly submit while a generation is still running. If a request appears stuck beyond the normal window, check the connection, refresh the account history, and contact support if a credit or result is missing. Keeping the original photo and prompt makes a technical report easier to investigate.
Related questions
Frequently asked questions
Do I need a powerful computer?
No. Processing happens server-side. You need a modern browser and a stable connection to upload the source and receive the result.
Why did one generation take longer than another?
Request complexity, selected mode, server demand, upload size, and network conditions can vary from one generation to the next.