🎬 Transform product photos into studio-quality visuals with Nano Banana & Telegram

295 views · 🎬 Content Creation & Video

Description

Turn a single product photo into scroll-stopping, studio-quality visuals in minutes.
Perfect for Shopify / WooCommerce / Amazon / Etsy sellers, agencies, and UGC creators who want consistent, on-brand images without costly photoshoots or endless editing.


Why you’ll love it


Perfect for


What’s included


Step-by-Step — How it works

  1. Open the form
    Enter:

    • Product Name & Product Description (material, finish, color, USP)
    • Product Image (required)
    • Optional: Background Image, or describe it (Background Type + Background Description)
    • Choose Camera Angle, Lighting Style, Aperture (Depth of Field)
    • Set Aspect Ratio, Variants (1–3), and your TG_Chat ID (Telegram target)
  2. Click “Submit”
    The workflow automatically:

    • Uploads your images
    • Writes photography-accurate prompts (focal length, aperture, lighting, surface/shadows)
    • Renders each variant into clean PNG results
  3. Receive your images

    • Finished images land in your Telegram chat/group for instant feedback and use

That’s it. No manual editing, no waiting, no hassle.


Real problems solved


Customize it to your stack


Requirements

You control which assets and metadata are sent to external APIs. Always ensure you have rights to the images you upload.


FAQs

Do I need a background image?
No. If you skip it, the workflow builds a realistic scene from your background description.

How many images do I get?
Up to 3 variants per run (you choose 1–3).

Are the results on-brand?
Yes—subtle grading honors your brand colors without over-saturation.

Can I change the delivery channel?
Absolutely. Replace Telegram with your preferred destination (email, storage, chat).


Use cases


Ready to level up your product visuals?

Add to cart, upload your first product image, and get studio-quality results—today.

🔗 Nodes Used

HTTP Request, Telegram, AI Agent, OpenAI Chat Model, Structured Output Parser, n8n Form Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup