- How is this different from Remove Object from Photo?
- Same model, different prompts. Remove Object asks the AI to fill the masked region with empty background. Generative Fill takes your prompt verbatim, so you can ask for anything — a motorcycle, a dramatic sunset, a sleeping cat. Use Remove Object when you want something gone; use Generative Fill when you want something new.
- How specific does my prompt need to be?
- More specific is usually better. "Sunset" works; "dramatic orange-and-purple sunset with scattered clouds" works much better. Include lighting, style, and key details. The AI interprets your prompt as a description of the masked region only — the rest of the image stays untouched.
- What kinds of edits work best?
- Sky replacement, swapping one object for another (car → motorcycle, dog → cat), adding objects to empty space (a coffee cup on a desk), filling missing parts of an image. Edits at small-to-medium scale work most reliably; very large region fills sometimes invent details that don't match the rest of the scene.
- Why does the output look different from what I described?
- Our AI is a generative model — every run is a different sample. If the result isn't what you wanted, try refining the prompt with more specifics (color, lighting, style) or run again to get a different variation. Larger or more detailed brush regions also give the model more room to interpret the prompt correctly.
- Does it leave watermarks or reduce resolution?
- No watermark on the output. The result is saved as a full-resolution PNG at the same dimensions as your input. our AI processes at up to ~1024px on the long edge internally; we Lanczos-upscale back to your original size.
