This is a LoRA fine-tuned model based on Qwen-Image-Edit-2509, specifically designed to solve the problem of secondary illumination processing for images. It can remove the illumination effect of the original image and regenerate realistic lighting and shadows for the target image according to the illumination and hue of the reference image, achieving the migration and fusion of image styles.

Computer VisionDiffusers

Z-Image-Re-Turbo is a text-to-image generation model that has been optimized for de-reduction and re-acceleration based on the Z-Image-De-Turbo model. This model aims to balance the convenience during training and the speed during inference. It restores the fast generation ability close to the original Turbo model while maintaining the same training-friendly features as Z-Image-De-Turbo, enabling it to be perfectly compatible with a large number of trained LoRA models in the Z-Image ecosystem.

MultimodalDiffusers

This is a low-rank adapter (LoRA) for the Z-Image Turbo DiT model, specifically designed to generate images with a historical photo style. The model is trained on 150 color photos taken by photographer Sergey Prokudin-Gorsky from the 1900s to 1910s, capable of injecting the unique aesthetics of early color photography, such as warm-toned halos and specific color textures, into modern image generation.

Computer VisionDiffusers

D-ART - LoRA - Z-Image-Turbo is an image generation model based on the Tongyi-MAI/Z-Image-Turbo base model. It is a LoRA (Low-Rank Adaptation) adapter designed to inject a specific 'D-ART' artistic style into the generated images. This style is characterized by generating illustrations of confident and dynamic young female characters, especially emphasizing the curves and dynamic poses of the characters. Users can activate this style by using specific trigger words to generate diverse images with unified aesthetic features.

Computer VisionDiffusers

This is a text-to-image conversion model based on LoRA technology, specifically designed to generate images with the artistic style of French Impressionist painter Berthe Morisot. This model is trained on the FLUX.2-dev base model and can convert ordinary images or text descriptions into paintings in Morisot's style.

Computer VisionDiffusers

This is an open-source LoRA model specifically designed for Qwen-Image, focusing on simulating the realistic look and feel of modern iPhone photography. The model is trained on more than 5000 real iPhone-style photos and can generate clear, natural images suitable for social media sharing.

Computer VisionDiffusers

Fyodor-Q3-8B-Instruct is a high-fidelity instruction-tuned model designed for intelligent reasoning and robust code generation. It is based on the Qwen3-8B architecture and trained with a high-rank LoRA configuration. It excels in planning before coding and is well-suited for complex software engineering tasks.

Natural Language ProcessingTransformersMultiple Languages

This is a LoRA model based on Qwen Image Edit 2509, specifically designed to convert input images into sketch comic artworks with exaggerated features. The model can create humorous and artistic comic images for human and animal subjects, highlighting facial features and characteristics.

Computer VisionDiffusersMultiple Languages

QwenEdit2509 is a specially designed Low - Rank Adaptation (LoRA) model focused on image color processing. It can desaturate images and reduce contrast, creating a flat, ungraded look similar to a camera's log profile while preserving details in highlights and shadows.

Computer VisionDiffusersEnglish

Anything2Real is a dedicated LoRA model built on Qwen Edit 2509, capable of transforming any art style (illustrations, anime, cartoons, paintings, etc.) into realistic images while preserving the original composition and content.

Computer VisionDiffusers

This is a text generation model fine-tuned based on the Google Gemma-3-4B-IT model, specifically designed to generate diverse and relevant search queries according to the metadata of demo templates. This model uses the LoRA adapter for efficient fine-tuning and is a key component of the structured document field adaptive dense retrieval framework.

Natural Language ProcessingSafetensorsEnglish

Technically Color WAN 2.2 is a LoRA model designed specifically for generating classic movie-style images. Through vivid color palettes, rich saturation, and dramatic lighting effects, the generated images have the unique visual charm of classic movies.

Computer VisionDiffusers

An image super-resolution LoRA model based on Qwen-Image-Edit-2509, specifically designed to improve the resolution and visual effects of low-quality images. This model performs excellently on images in photographic styles and can handle various image degradation problems.

Computer VisionDiffusers

This is a text generation model optimized using PEFT (Parameter-Efficient Fine-Tuning) and LoRA techniques based on the Google Gemma-2B-IT base model. The model is optimized for specific tasks while maintaining the capabilities of the base model through parameter-efficient methods.

Natural Language ProcessingPeft

Qwen-Edit-Skin is a LoRA model fine-tuned based on the Qwen/Qwen-Image-Edit-2509 model, focusing on enhancing the realism and details of human skin in images and generating more natural and delicate skin textures.

Computer VisionDiffusers

Anime2Realism is a text-to-image conversion model based on the Qwen/Qwen-Image base model, specifically designed to achieve image conversion from anime style to realistic style. This model utilizes LoRA and Diffusers technologies to generate corresponding realistic-style images based on text descriptions.

Computer VisionDiffusers

QwenEdit InScene LoRAs is a group of models fine-tuned based on QwenEdit, focusing on enhancing the ability to generate images based on scene references. It includes two components, the InScene main model and InScene Annotate, which can create new scene shots while maintaining character consistency and scene coherence.

MultimodalDiffusers

This is a multi-task fine-tuned model based on DeepSeek-R1-Distill-Qwen-1.5B. It is trained on multiple datasets through the LoRA adapter and has powerful multi-task generalization and reasoning capabilities. It can handle a wide range of natural language and reasoning-based tasks.

Natural Language ProcessingPeftEnglish

Qwen-Image-Edit-Cosplay LoRA is an anime character dressing migration model fine-tuned based on the Qwen-Image-Edit-2509 image editing model. It focuses on accurately migrating the hairstyles, clothing, and decorative props of anime characters to real human images while maintaining the facial features of the original person.

Computer VisionDiffusers

This is a LoRA model for flight and bullet time video effects based on Wan2.1, specifically designed to generate images with bullet time effects, capable of creating a unique visual effect where a character floats in the air and the camera perspective rotates around the character.

Computer VisionDiffusers