Winter landscape

Start with the right photo.

A landscape with visible ground, roof and trees where accumulated snow can follow surfaces.

What to expect

Transform the existing scene into a plausible snowy winter day.

Keep an eye on

Weather and lighting are fictional reconstructions. Check landmark consistency and reflection direction; no factual weather claim.

Make it yours, step by step.

1. Adjust the recipe to describe your subject and preferred background.
2. Copy the complete recipe, then open ChatGPT.
3. Upload your photo in ChatGPT and paste the recipe. The short code alone is not an official command.
4. Inspect identity, text and proportions. Ask for a targeted correction if needed.

Choose the change deliberately.

Separate falling snow from accumulated snow. Roofs, branches and ground need different coverage; a uniform white coating can erase recognizable structure.

Review and refine the result

Check load-bearing shapes and existing openings for accidental filling. If the scene loses its landmarks, reduce accumulation before adding more flakes. The edit depicts an imagined season, not recorded weather.

A related direction, and why

/SEASONSET — A seasonal comparison makes changes across multiple conditions visible while adding consistency checks between panels.

These are editing suggestions, not additional test observations. Read the practical guide or use the before/after checklist.

Where this effect helps — and its limits.

Transform the existing scene into a plausible snowy winter day. Weather and lighting are fictional reconstructions. Check landmark consistency and reflection direction; no factual weather claim.

Input advice and use cases are editorial guidance, not additional test results.

Notes from recorded tests.

These notes describe the named runs, which may use a different subject from the comparison above. They do not guarantee results on another input or a future model. See our testing method.