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PROMPT1 - Créez une image infographique de la MustangGTD combinant une photographie réaliste ou un rendu photoréaliste de l'objet avec des superpositions d'annotations techniques placées directement dessus.
Utilisez des dessins au trait et du texte de style encre noire (MustangGTD {argument name="car color"default="blue"}) sur un fond de studio d'un blanc pur.
Incluez :
• Des étiquettes pour les composants clés
• Des vues en coupe interne ou des schémas éclatés (le cas échéant)
• Des mesures, des dimensions et des marqueurs d'échelle
• Des indications de matériaux et de quantités
• Des flèches indiquant la fonction, la force ou le flux (toutes les fonctions de la BugattiChiron)
• Des schémas ou des diagrammes sectionnels simples, le cas échéant
Placez le titre MustangGTD à l'intérieur d'une véritable boîte d'annotation technique dans un coin.
Règles de style et de mise en page :
• L'objet réel reste clairement visible sous les annotations (aucune annotation sur l'objet réel)
• Les annotations ont un aspect esquissé à la main, technique et architectural
• Composition nette avec un espace négatif équilibré
• Ambiance éducative, d'exposition de musée / de manuel d'ingénierie
Style visuel :
Esthétique d'illustration technique minimale.
Trait noir superposé à des images réalistes.
Précis mais avec une légère touche de dessin à la main.
Palette de couleurs :
Fond blanc pur.
Lignes d'annotation et texte noirs uniquement.
Pas de couleurs.
Sortie :
Résolution 1080 × 1080
Ultra-nette
Optimisée pour les réseaux sociaux
Pas de filigrane
PROMPT 2 - Créez une image infographique de la Bugatti, combinant une photographie réaliste ou un rendu photoréaliste de l'objet avec des superpositions d'annotations techniques placées directement dessus.
Utilisez des dessins au trait et du texte de style encre noire (Bugatti {argument name="bugatti color" default="copper color"}) sur un fond de studio d'un blanc pur.
Incluez :
• Des étiquettes pour les composants clés
• Des vues en coupe interne ou des schémas éclatés (le cas échéant)
• Des mesures, des dimensions et des marqueurs d'échelle
• Des indications de matériaux et de quantités
• Des flèches indiquant la fonction, la force ou le flux (toutes les fonctions de la Bugatti Chiron)
• Des schémas ou des diagrammes sectionnels simples, le cas échéant
Placez le titre Bugatti à l'intérieur d'une véritable boîte d'annotation technique dans un coin.
Règles de style et de mise en page :
• L'objet réel reste clairement visible sous les annotations (aucune annotation sur l'objet réel)
• Les annotations ont un aspect esquissé à la main, technique et architectural
• Composition nette avec un espace négatif équilibré
• Ambiance éducative, d'exposition de musée / de manuel d'ingénierie
Style visuel :
Esthétique d'illustration technique minimale.
Trait noir superposé à des images réalistes.
Précis mais avec une légère touche de dessin à la main.
Palette de couleurs :
Fond blanc pur.
Lignes d'annotation et texte noirs uniquement.
Pas de couleurs.
Sortie :
Résolution 1080 × 1080Ultra-nette
Optimisée pour les réseaux sociaux
Pas de filigrane
Infographie / Visuel éducatif - Image infographique de la Mustang GTD avec annotations techniques
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Une invite détaillée pour générer une infographie technique d'une voiture, combinant un rendu photoréaliste de la Mustang GTD avec des annotations techniques de style architectural, esquissées à la main. Elle spécifie des éléments tels que les étiquettes de composants, les contours en coupe, les mesures et les flèches de flux, le tout rendu à l'encre noire sur un fond blanc pur pour une esthétique de manuel d'ingénierie.
Stop listing specs. Start selling value. This prompt converts your raw technical features (e.g., "WebSockets support") into high-converting marketing copy (e.g., "Real-time collaboration"). Ideal for Indie Hackers and Engineers.
A detailed multi-part prompt for generating two distinct images and a motion sequence related to a taco. The first image is a high-end commercial photograph of the taco, and the second is a hyper-realistic exploded-view infographic of its ingredients with specific annotation design requirements. The motion prompt describes a smooth separation of ingredients for video generation.
A complex prompt for generating a video featuring ultra-realistic food photography of a layered chocolate cake, including a motion prompt for the cake plate and ingredients, and a separate image prompt for an exploded infographic view. This is designed for high-end commercial food advertising.
A dual prompt used to transform an architectural pencil sketch of a wooden pergola into a photorealistic image of the fully built structure in a garden. The prompt ensures the final image matches the exact structure and proportions of the hand-drawn blueprint.
A reusable prompt template for generating a technical infographic of any specified object, presented in a 45-degree isometric 3D perspective, combining a photorealistic render with black ink technical annotations, color-coded callouts, and schematics.
Two separate prompts for generating hyper-realistic images of tea. The first is a studio still life of a freshly brewed cup of tea, emphasizing steam, bubbles, and glass texture. The second is an exploded vertical infographic showing the stages of tea brewing, with layers suspended in mid-air, designed for a clean, minimal aesthetic.
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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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