This model is a fine-tuned version of Facebook's DETR-ResNet-50-DC5 object detection model on a fashion dataset, specifically designed for fashion item detection and classification. The model is optimized on the Fashionpedia dataset and can identify fashion items such as clothing and accessories.

Computer VisionTransformers

Crealism Terra Mirabilis is a text-to-image generation model based on Stable Diffusion XL technology. It focuses on generating highly realistic images and supports the creation of various characteristic images in Asian and European styles. It is suitable for fields such as creativity, fashion, and portraits.

Computer VisionDiffusersEnglish

BLIP is a Transformer-based image-to-text generation model that can generate natural language descriptions for input images.

A specialized fashion image editing model based on Shuttle-3.1-Aesthetic, excelling in fashion-related modification tasks.

Computer VisionDiffusersEnglish

A fashion image classification model fine-tuned based on the SigLIP2 architecture, specifically designed for the Fashion-MNIST dataset

Computer VisionTransformersEnglish

Marqo-FashionSigLIP is a multimodal embedding model optimized for fashion product search, achieving a 57% improvement in MRR and recall rate compared to FashionCLIP.

MultimodalTransformersEnglish

A low-rank adaptation model trained specifically for fans of Twice member Jeongyeon, designed to generate fashionable female images.

Computer VisionTransformers

A vision-language model trained based on Bllossom/llama-3.2-Korean-Bllossom-AICA-5B, supporting Korean and English, specializing in image-to-text and text classification tasks in the fashion domain.

MultimodalTransformersMultiple Languages

This is a LoRA fine-tuned model based on FLUX.1-dev, specializing in generating Jessica Alba's images in early 2000s style, particularly suitable for creating sexy and fashionable female portraits.

Computer VisionDiffusers

A fashion object detection model fine-tuned based on YOLOS-tiny, specifically designed to detect 7 categories of fashion items such as bags, bottoms, dresses, etc. Trained on the ModaNet and Fashionpedia datasets, achieving an mAP of 0.697.

Computer VisionTransformersEnglish

A LoRA model specifically trained for fans of TWICE member Nayeon, fine-tuned based on the FLUX.1-dev foundation model, designed to generate fashion-forward female images in Nayeon's style.

Computer VisionTransformers

A LoRA model trained on H&M fashion description datasets, capable of generating high-quality, realistic clothing images based on text descriptions.

MultimodalDiffusers

A LoRA model fine-tuned based on the FLUX.1-dev foundation model, specializing in generating character images with Indian cultural elements and fashion styles

Computer VisionDiffusers

LoRA model based on FLUX.1 development version, specializing in text-to-image conversion for teen fashion clothing

Computer VisionDiffusers

A text-to-image model based on LoRA technology, specializing in fashion photography and model image generation

Computer VisionDiffusers

This is a LoRA model based on the FLUX.1-dev model, specializing in generating fashionable images of young East Asian women through text-to-image generation.

MultimodalDiffusers

A text-to-image model specializing in fashion photography styles, capable of generating fashion editorial effects with surreal close-up portraits.

Computer VisionDiffusers

A clothing-focused LoRA model based on the Florence-2 annotation system, specializing in generating high-quality fashion design images with support for multiple styles and material expressions

Computer VisionDiffusers

Ultra-realistic facial generation model based on Flux style and LoRA technology, focusing on high-fidelity portraits and fashion photography

Computer VisionDiffusers

A fashion object detection model fine-tuned from microsoft/conditional-detr-resnet-50, specifically designed for detecting fashion items

Computer VisionTransformersEnglish