Prompt Details
A realistic young woman casually grocery shopping inside a well-lit supermarket during early evening. She is holding her phone at arm’s length, recording herself while walking through aisles and picking up products. Framing is slightly shaky and imperfect, like a real handheld front camera vlog. Expression: relaxed, conversational, occasionally smiling while talking about items she picks. She pauses to grab products from shelves, briefly showing them to the camera as she explains why she’s buying them. Outfit: simple everyday wear (oversized hoodie or fitted top with jeans), minimal styling. Makeup: natural, skin texture visible, no heavy filters. Lighting: bright supermarket lighting, slightly harsh but realistic. Environment: fully stocked grocery store, colorful packaging, people occasionally passing in background. Audio style: casual talking, like a voice note or vlog, unscripted feel. Style: ultra-realistic, raw phone footage, slight grain, no cinematic polish, authentic social media vibe.
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.
Editorial handling note
Public prompt pages show edited case notes instead of copy-ready raw text. High-risk, explicit, and brand- or likeness-sensitive entries are filtered from the public library.
Related Seedance prompts
Continue browsing Seedance content
After a single prompt, the next move is usually another example from the library or a guide and glossary entry that add method and terminology.
Prompt Library
Return to the prompt library to keep narrowing
Compare structure, media setup, and control patterns across examples.
Guides
Read guides for the underlying method
Turn isolated examples into reusable workflow patterns.
Glossary
Use the glossary to complete the control language
Clarify camera, reference, and consistency language before the next iteration.