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Prompt Details

Create a short video themed around a cat making handmade ramen in a late-night diner, with cinematic color grading (warm tones, full of life), fine grain, and shallow depth of field. The protagonist is a cat, playing a professional ramen master, whose appearance strictly references [@image-1]. The scene is set in front of a Japanese-style late-night ramen stall on a city street. The background features warm yellow lanterns, a wooden counter, and blurred street neon lights in the distance. The video content needs to be displayed in the following steps/shots: Kneading and Cutting Noodles: The cat, wearing a small apron, rhythmically kneads the dough on a wooden board dusted with flour, then uses a sharp knife to cut the dough into uniform thin noodles. Boiling and Draining: The cat loosens the noodles and puts them into a large pot of boiling water. After a few seconds, it uses a bamboo strainer to scoop the noodles out, skillfully shaking them vigorously twice in the air to drain excess water. Preparing the Broth: The cat holds an exquisite long-handled ladle, scooping a spoonful of broth from a pot of rich white bone soup, and slowly pouring it into a deep blue ceramic bowl. Plating: The cat neatly places the cooked noodles into the bowl with chopsticks, then sequentially arranges two thick slices of char siu, half a soft-boiled egg, a few pieces of seaweed, and scallions on top, with precise movements. Ending: The final shot shows the cat master gently pushing the steaming bowl of ramen towards the camera, nodding slightly as a gesture. Requirements: Video Style: Realistic, clear picture, medium shot. Sound (ASMR): The entire video requires no voiceover, but must amplify: the 'da-da' sound of cutting noodles, the 'hua-la' sound of noodles entering the water, the 'sa-sa' sound of draining water, and the flowing sound of hot broth entering the bowl. Background Music: Gentle, soothing saxophone music in the background to create a quiet late-night atmosphere.

How to work from this case

  • Start with the original prompt and identify which subject, camera, and mood phrases drive the output.
  • When iterating, change one variable first: lighting, motion, or emotion.
  • If references are involved, adjust framing and movement separately for more stable generations.

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