Demerzels-lab Seasonal Product Image
Version: 1.0.0 Category: E-commerce Image Created by: Momo (manual curation) Created at: 2026-02-05T16:51:45.971858
Description
This skill provides a high-quality, manually crafted prompt template for AI e-commerce image generation.
Note: This is a manually designed and tested prompt, optimized for real-world use cases in e-commerce and content creation.
Usage
Basic Usage
Use this prompt template with your AI video/image generation tool:
Generate a {season}themed product photograph of {product_name}.
Seasonal elements:
- {season} decorations (snowflakes, flowers, autumn leaves, etc.)
- Holiday color palette ({holiday_colors})
- Festive props and background
- Warm, celebratory mood
Product presentation:
- Product naturally integrated into theme
- Gift-giving potential highlighted (if applicable)
- Seasonal use cases shown
- Limited-time offer messaging (text overlay optional)
Lighting and mood:
- Warm, inviting lighting (golden hour effect)
- Magical, festive atmosphere
- Sparkle or subtle lighting effects (tastefully applied)
- Joyful, celebratory mood
Image specifications:
- Resolution: 1080x1350 (4:5) or 1200x1200 (1:1)
- High quality (suitable for large displays)
- Print-ready (300 DPI minimum)
Use for: Holiday campaigns, seasonal promotions, social media
Variables
Replace the following variables in the prompt with your specific values:
{product_name}- Name of your product{brand_colors}- Your brand's color palette (e.g., "blue, white, gray"){background_style}- Preferred background style (minimal, gradient, specific scene){target_audience}- Your target audience (e.g., "young adults, 25-35"){cta_text}- Call-to-action text (e.g., "Shop Now - 20% Off"){setting}- Scene setting (home, office, outdoor, café){feature}- Specific product feature to highlight{season}- Season (spring, summer, autumn, winter){holiday_colors}- Holiday color palette{competitor_product}- Competitor product name (for comparison)
Example
Generate a {{season}}themed product photograph of {{Premium Wireless Earbuds}}.
Seasonal elements:
- {{season}} decorations (snowflakes, flowers, autumn leaves, etc.)
- Holiday color palette ({{holiday_colors}})
- Festive props and background
- Warm, celebratory mood
Product presentation:
- Product naturally integrated into theme
- Gift-giving potential highlighted (if applicable)
- Seasonal use cases shown
- Limited-time offer messaging (text overlay optional)
Lighting and mood:
- Warm, inviting lighting (golden hour effect)
- Magical, festive atmosphere
- Sparkle or subtle lighting effects (tastefully applied)
- Joyful, celebratory mood
Image specifications:
- Resolution: 1080x1350 (4:5) or 1200x1200 (1:1)
- High quality (suitable for large displays)
- Print-ready (300 DPI minimum)
Use for: Holiday campaigns, seasonal promotions, social media
Tags
ecommerce, image, seasonal, holiday
Requirements
Compatible with AI tools that support text-to-video or text-to-image generation:
- For video: Sora2, Google Veo, Runway, Pika Labs, Kling
- For image: Midjourney, DALL-E 3, Stable Diffusion, Stable Diffusion XL
Tips
- Customize variables: Replace all {variable} placeholders with your specific values
- Test and iterate: Generate multiple versions and choose the best result
- Adjust parameters: Modify resolution, duration, or style based on your needs
- Combine with other skills: Use multiple prompts together for comprehensive content
Use Cases
Perfect for:
- E-commerce product videos and images
- Marketing campaigns and promotions
- Social media content (Instagram, TikTok, YouTube Shorts)
- Product launches and announcements
- Seasonal and holiday campaigns
- Brand storytelling and testimonials
Quality Assurance
This prompt has been:
- ✅ Manually designed and curated
- ✅ Optimized for real-world e-commerce scenarios
- ✅ Tested for AI video/image generation tools
- ✅ Reviewed for clarity and effectiveness
Feedback
If you find this prompt helpful, please leave a review or share your generated content!
This skill is part of the Manual Prompts Collection - high-quality, curated prompts for AI content generation.