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/POURSHOT

Continuous beverage pour

Turn this setup into one clean beverage-pouring still.

TESTED / EXAMPLE AVAILABLEMore controlChatGPT · One prompt
Before / After
Beverage — internal source before
Continuous beverage pour — edited result

Own image-edit example from the recorded source. One accepted input; not Verified.

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Start with the right photo.

A bottle and empty glass clearly visible in a simple beverage source.

What to expect

Turn this setup into one clean beverage-pouring still.

Keep an eye on

A fictional arranged pour; liquid behavior is illustrative, not a physical simulation.

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.
Open ChatGPT ↗

Choose the change deliberately.

The stream should connect a clear source to a receiving vessel. Leave enough empty space to see that path and keep the liquid consistent with the named beverage.

Review and refine the result

Inspect the lip of the container and the landing point. If extra glasses appear, specify the exact object count. Reduce splash complexity before changing the setup.

A related direction, and why

/SPLASH — A splash emphasizes a burst or arc, while a pour explains continuous liquid movement.

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.

Turn this setup into one clean beverage-pouring still. A fictional arranged pour; liquid behavior is illustrative, not a physical simulation.

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

Notes from recorded tests.

POURSHOT_01 · PASS WITH NOTES

One coherent pour, same glass and cap. Bottle intentionally enters from outside the upper-left crop.

2026-09-24 · Work built-in image_gen

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.

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