A logo mark for a company named 'Lovart'with a base color gradient of vibrant {argument name="color 1"default="emerald green"} and vibrant {argument name="color 2"default="blue"}
Generate a color palette and font design guidelines fromthis logo mark
Generate the application UI design forthis service. PC version and smartphone version
Design a website to introduce this service. PC version and smartphone version
Design image for the exhibition booth ofthis service
Merchandise design forthis service. T-shirt, hoodie, cap, notebook, sticker
Product Marketing - Multi-Step Design Generation for 'Lovart' Brand Identity
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A multi-step workflow prompt sequence for Nano Banana Pro, designed to create a cohesive brand identity for a company named 'Lovart'. The steps cover generating the logo, creating design guidelines (color palette, font), and then applying that identity to various assets like application UI, website design, exhibition booth, and merchandise.
A comprehensive, multi-step workflow using design agent 'Lovart' (likely integrated with Nano Banana Pro) to generate a complete brand identity, starting from a logo and extending to design guidelines, UI, website, exhibition booth, and merchandise. This demonstrates a structured approach to design generation.
A highly detailed, multi-frame prompt designed for Nano Banana Pro to generate a clean, professional 3x3 storyboard grid for a branding portfolio. It emphasizes consistency in product identity, color, and ratio across all nine frames, focusing on composition, material, and visual rhythm rather than narrative.
A detailed prompt for generating a fashion scrapbook or collage page layout using the Nano Banana Pro model within the Lovart tool. The prompt specifies composition, subject details, decorative elements like clips and tape, background, and technical rendering styles, aiming for a tactile, editorial look.
A detailed prompt for generating an ultra-realistic, top-down flat lay photograph of a custom-designed conference table using the Nano Banana Pro model. The prompt specifies the table shape, material, flooring, composition, number of subjects, their actions, and professional studio lighting to highlight the table's silhouette.
A detailed, multi-step prompt for generating a four-panel manga (yonkoma) using the Nano Banana Pro model, specifically illustrating a scenario where a female protagonist uses the Lovart app during a short break (poikatsu) to quickly create content. The prompt specifies character actions, dialogue, and panel layout.
A highly detailed prompt for Nano Banana Pro to create a hyper-realistic flat lay composition of a logo formed entirely from pressed flowers and dried leaves. The composition is placed on textured handmade paper, emphasizing soft natural light, delicate shadows, and an artistic, earthy atmosphere.
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Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).
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The choices you make regarding the purposes and entities listed in this notice are saved and made available to those entities in the form of digital signals (such as a string of characters). This is necessary in order to enable both this service and those entities to respect such choices.
Information about your activity on this service may be matched and combined with other information relating to you and originating from various sources (for instance your activity on a separate online service, your use of a loyalty card in-store, or your answers to a survey), in support of the purposes explained in this notice.
In support of the purposes explained in this notice, your device might be considered as likely linked to other devices that belong to you or your household (for instance because you are logged in to the same service on both your phone and your computer, or because you may use the same Internet connection on both devices).
Identify devices based on information transmitted automatically
Your device might be distinguished from other devices based on information it automatically sends when accessing the Internet (for instance, the IP address of your Internet connection or the type of browser you are using) in support of the purposes exposed in this notice.
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With your acceptance, certain characteristics specific to your device might be requested and used to distinguish it from other devices (such as the installed fonts or plugins, the resolution of your screen) in support of the purposes explained in this notice.
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Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Authentication-derived identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Non-precise location data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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