Dessert Livestream Branding Cover System
A comprehensive prompt for creating a marketing design matrix for baking livestreams, featuring specific color hex codes and kitchen textures.
This is a GPT Image 2 prompt case for Graphic & Poster. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.
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Prompt
Copy-ready prompt
Create a marketing and operational design-focused livestream cover system main image with the theme "{argument name="直播主题" default="Every Wednesday at 8 PM, follow the pastry chef to turn failed cakes into the next surprise"}." The visual is not a single cover but a matrix of six vertical covers with a unified channel language, spread out as if pinned to a baking workstation backboard. Each cover showcases a moment of transformation from a failed scenario (e.g., collapsed cream, cracked chiffon, burnt caramel, failed cookies), maintaining a relaxed, professional, and authentic atmosphere. The composition features one main cover enlarged in the center, with others arranged around it, featuring small episode numbers, durations, and column badges on the edges. Lighting varies slightly within each cover but is unified by kitchen warm white light and reflections on stainless steel surfaces. The color system must include hex values: Cream White #F3E9DA, Butter Gold #D9B46B, Caramel Brown #9A6644, Stainless Steel Gray #B8BABC, Berry Dark Red #8F4B4E, Mint Ash Green #9AA99B. Material focus includes {argument name="材质细节" default="cream texture, baking paper, mixing bowl reflections, icing particles, and channel card lamination"}. Requires a small amount of Chinese text for series name, episode, and time, with short English subtitles, in a unified layout suitable for social platform distribution.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
Best for
- - Graphic & Poster visual exploration
- - Image generation and reference-image edits
- - Reusable briefs that keep source attribution visible
Change these parts
- - Subject, product, character, or scene
- - Aspect ratio, camera, lighting, and background
- - Brand, text, color, and output constraints
Recommended model and settings
- - Model: gpt-image-2
- - Input mode: Image to Image
- - Aspect ratio: source
- - Commercial status: review original source
How to use this prompt
- 1. Copy the prompt and preserve its structure for the first test.
- 2. Replace the subject, context, and publishing channel.
- 3. Change one camera, lighting, or style variable per iteration.
- 4. Inspect the output, source, text, and rights before reuse.
Limitations, source, and reuse cautions
- - Generated output is an editable draft, not factual, legal, or rights evidence.
- - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
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Commercial-use status is allowed. Review the original source, license, brand constraints, and legal requirements before paid usage.
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