Asynchronous AI processing pipeline designed for high-performance automation.
This workflow has no configurable inputs. Check the visual builder to add task inputs.
About this workflow
This workflow is an asynchronous AI processing pipeline. Submit your inputs and receive results when the pipeline completes.
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.
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.
Garment analysis
Vision AI reads the garment image and identifies garment type, drape pattern, and fabric details.
Try-on placement
Nano Banana places the garment on the model figure with culturally accurate draping and layering.
Photorealistic finish
GPT Image 1.5 refines the composite, sharpening fabric details and correcting edge artefacts for a photorealistic result.