Untitled Workflow
Asynchronous AI processing pipeline designed for high-performance automation.
This workflow has no configurable inputs. Check the visual builder to add task inputs.
Overview
About this workflow
This workflow is an asynchronous AI processing pipeline. Submit your inputs and receive results when the pipeline completes.
Quick Integration
Use via REST API
Submit inputs to POST /workflow/virtual-try-on-indian-ethnic-wear-nano-banana/api-execute and poll GET /workflow/run/{run_id}/status until the run completes. Switch to the for full code examples.
About Virtual Try-On for Indian Ethnic Wear with Nano Banana + Gpt Image 1.5
This workflow specialises in virtual try-on for Indian ethnic garments — sarees, lehengas, salwar suits, and kurtas — categories that present unique draping and layering challenges that generic try-on models handle poorly. Vision AI first analyses the garment structure and drape pattern, Nano Banana places the garment on the model figure with culturally accurate draping, and GPT Image 1.5 refines the composite for photorealistic finish.
The result is a high-quality product image that shows the garment as worn, without requiring a model photoshoot. Particularly valuable for ethnic fashion retailers with large SKU catalogues.
Models Used
How It Works
- 1
Garment analysis
Vision AI reads the garment image and identifies garment type, drape pattern, and fabric details.
- 2
Try-on placement
Nano Banana places the garment on the model figure with culturally accurate draping and layering.
- 3
Photorealistic finish
GPT Image 1.5 refines the composite, sharpening fabric details and correcting edge artefacts for a photorealistic result.
Use Cases
- Display ethnic garments on model figures for product pages
- Show saree draping styles without model shoots
- Create size-variant images for ethnic wear catalogues
- Produce lookbook content for festive collections
- Visualise traditional garments for international shoppers
Who Is This For
Frequently Asked Questions
- Does this work for saree draping styles?
- Yes — specify the draping style (Nivi, Bengali, Gujarati, etc.) in the input prompt.
- What garment types are supported?
- Sarees, lehengas, salwar suits, kurtas, sherwanis, and other ethnic garments all work well.
- Can I use my own model reference image?
- Yes. Provide a model image and the workflow places the ethnic garment on that figure.
- How accurate is the draping?
- The Nano Banana + GPT Image 1.5 pipeline produces accurate drape physics for most standard ethnic garment types.