fal Integrates FLUX Virtual Try-On for High Fidelity Fashion Workflows

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fal integrated the FLUX Virtual Try-On model from Black Forest Labs to enable realistic garment transfers from product photos to human subjects. The system preserves the original person's identity and pose while accurately rendering specific clothing items for e-commerce and catalog production.

fal, a generative media infrastructure platform for serverless inference (running AI models on demand without managing servers), integrated FLUX Virtual Try-On. Developed by Black Forest Labs, the model generates images of a person wearing a specific garment based on a reference photo, such as a packshot.
Pricing (first MP)
$0.0375
Pricing (extra MP)
$0.005
Availability
API, Web Playground
Input requirements
Person image, garment reference
Usage rights
Commercial use permitted

This integration follows fal's FLUX Erase integration and fal's FLUX.2 Pro Outpaint feature. The model is optimized for low-latency fashion workflows, maintaining high fidelity to the source clothing while preserving the human subject's face, pose, and identity.

You can access the model via the fal API for commercial use. Pricing starts at $0.0375 for the first input megapixel. The system supports both individual packshots and full outfit composition, allowing users to digitally composite garments onto existing model imagery.

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🚨 FLUX Virtual Try-On from @bfl_ml is now available on fal! 👕 Try on garments from a person image + clothing reference ⚡ Optimized for fast, low-latency fashion workflows 🧥 Supports packshots and full outfit composition ✨ Preserves face, pose and identity https://t.co/KtbpsYEjsB

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Still wondering? A few quick answers below.

FLUX Virtual Try-On is a specialized image-to-image AI model developed by Black Forest Labs and hosted on the fal platform. It allows users to digitally place specific clothing items onto a person in a photo. The system is designed to maintain the person's original face, pose, and identity while accurately rendering the garment.

The workflow requires two primary inputs: an image of a human subject and a reference image of a garment, such as a packshot or a flat lay photo. The model then processes these images to generate a realistic result of the person wearing the specified outfit, making it suitable for automated fashion and e-commerce catalog production.

Pricing for the model is based on megapixel usage. The first input megapixel costs $0.0375, with each additional input megapixel and each output megapixel costing $0.005. Each input image is rounded up to the nearest megapixel independently before the total cost is calculated, allowing for predictable per-inference billing for professional developers and businesses.

Yes, the FLUX Virtual Try-On model on fal is officially available for commercial use. Users can access the capability through the fal API or a web-based playground. This allows businesses to integrate the technology into their own applications and workflows for professional fashion photography, virtual fitting rooms, and digital retail experiences.

The model supports various fashion workflows, including individual garments and full outfit compositions. This flexibility allows creators to visualize how different pieces of clothing look on a human model using digital garment references, such as packshots, to generate high-fidelity results that preserve the original subject's identity and pose during the digital try-on process.

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