fal/virtual-tryoff-lora

FLUX.2-klein-base-9B Virtual Try-Off LoRA

Prompt

TRYOFF extract the t-shirt over a white background, product photography style. NO HUMAN VISIBLE (the garments maintain their 3D form like an invisible mannequin).

Prompt

TRYOFF extract the dress over a white background, product photography style. NO HUMAN VISIBLE (the garments maintain their 3D form like an invisible mannequin).

Prompt

TRYOFF extract the pants over a white background, product photography style. NO HUMAN VISIBLE (the garments maintain their 3D form like an invisible mannequin).

Prompt

TRYOFF extract the outfit over a white background, product photography style. NO HUMAN VISIBLE (the garments maintain their 3D form like an invisible mannequin).

Prompt

TRYOFF extract the t-shirt over a white background, product photography style. NO HUMAN VISIBLE (the garments maintain their 3D form like an invisible mannequin).

Prompt

TRYOFF extract full outfit in the reference image over a white background, high-end professional product photography. Present the outfit as a complete, vertically stacked ensemble arranged as if worn. The items are stacked as if worn. The top-layer garment is dominant, followed directly by the bottom-layer garment. The footwear is placed below the bottom-layer hem, aligning with where the feet would naturally be. Lighting: Clean, even, diffused studio lighting (softbox or beauty dish style). The illumination must highlight all varying textures (e.g., pebble leather, suede, knit, or canvas) without creating harsh shadows.

Virtual Try-Off: Given an image of a person wearing clothing and a garment category prompt, the model generates a clean image of the garment as if it were photographed alone.
The model reconstructs the clothing item while preserving its style, texture, color, and design from the input image.
1 input image (person wearing clothes) + text category → 1 output garment image
Built with fal.ai.

Usage

• Try LoRA on fal.ai Playground
• Try the workflow (image-to-video) at fal.ai Workflow

Training

Trained with fal.ai trainer.

• Base model: FLUX.2-klein-base-9B
• Steps: 10000
• Learning Rate: 0.00005
• Dataset: 300 image pairs (model + garment) of shape 1024x1024

Author

Created by Riza Velioglu at fal.ai