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

A version of model pruning based on Qwen-Image-Edit. 20 layers are removed, and the weights of 40 layers are retained. The final model size is 13.6B parameters. This is an image editing model that supports multi-image input and text-guided image synthesis and editing.

MultimodalDiffusersMultiple Languages

This is an image editing LoRA model based on Qwen-Image-Edit, specifically designed for image fusion tasks such as white model to material conversion, and performs very well.

MultimodalDiffusers

This is a Lora image fusion tool based on the Qwen-Edit model, specifically designed for image-to-image conversion tasks. It can achieve excellent image fusion effects and is particularly good at image editing functions such as white model to material conversion.

Computer VisionDiffusers

Qwen-Image-Edit-MeiTu is an improved version based on Qwen-Image-Edit. It is fine-tuned using the DiT architecture and focuses on enhancing visual consistency, aesthetic quality, and structural alignment capabilities in complex image editing.

Computer VisionDiffusersMultiple Languages

The Wenxin Image Fusion Lora Model is an AI model specifically designed for image fusion and editing. It can correct the perspective of products, adjust lighting effects, and seamlessly integrate products into the background environment to achieve high-quality image synthesis.

Computer VisionDiffusers

DreamOmni2-GGUF is an image-to-image model that converts the xiabs/DreamOmni2-7.6B model to the GGUF format. It supports multimodal instruction editing and generation and follows the Apache-2.0 license.

MultimodalGguf

This is a LoRA model based on Qwen-Image-Edit-2509, specifically designed to accurately apply design patterns to people's shirts, providing new possibilities for image editing.

Computer VisionDiffusers

The Ming-flash-omni preview version is a multimodal large model built on the Ling-Flash-2.0 sparse mixture of experts (MoE) architecture, with a total of 100B parameters and only 6B parameters activated per token. This model is a comprehensive upgrade based on Ming-Omni, showing significant improvements in multimodal understanding and generation, especially in speech recognition, image generation, and segmentation editing.

MultimodalDiffusersEnglish

qwen_edit_photo_restore_v1-lora is a LoRA adapter trained based on the Qwen-Image-Edit model, specifically designed for image editing and restoration tasks. This model is trained using the AI Toolkit by Ostris, supports multiple mainstream AI platforms, and provides high-quality image processing capabilities.

MultimodalDiffusers

my_qwennud-lora is a LoRA model trained using specific tools based on Qwen-Image-Edit-2509. It is specifically designed for image generation and editing tasks, trained with the AI Toolkit by Ostris, and can be used in conjunction with various mainstream AI tools.

MultimodalDiffusers

This is an open-source LoRA model developed by FlyMy.AI, specifically designed for Qwen-Image-Edit, focusing on in-scene image editing. It enhances the control ability of scene composition and object positioning through low-rank adaptation technology.

MultimodalDiffusersEnglish

Qwen-Image-Edit-2509 GGUF is a quantized version converted from the Qwen/Qwen-Image-Edit-2509 model, specifically designed for image-to-image processing tasks. This model retains the core capabilities of the original model and supports image editing and processing in the ComfyUI environment.

MultimodalGgufMultiple Languages

Qwen Image Edit Plus GGUF is an image editing project based on the Qwen model, offering multiple running modes and supporting image editing and generation tasks. This project optimizes model deployment and running efficiency through the GGUF format.

MultimodalGguf

The monthly iteration version of the Tongyi Image Editing Model, which supports multi-image editing, improves the consistency of single-image editing, and natively supports ControlNet, bringing more powerful functions and better effects to image editing.

MultimodalDiffusersMultiple Languages

Qwen-Image is a multimodal image generation foundation model in the Tongyi series. It excels in complex text rendering and precise image editing, especially in Chinese text rendering, and supports a variety of image generation and editing tasks.

Computer VisionDiffusersMultiple Languages

OmniGen2 is a powerful and efficient unified multimodal model composed of a 3B vision-language model and a 4B diffusion model, supporting visual understanding, text-to-image generation, instruction-guided image editing, and context generation.

MultimodalDiffusers

This is an image-to-image conversion model based on LoRA technology, primarily used for non-commercial image editing tasks.

Computer VisionDiffusersEnglish

ICEdit is an innovative instruction-based image editing method that achieves efficient editing through large-scale diffusion transformers, requiring only 0.5% of training data and 1% of parameter scale to achieve SOTA results.

Computer VisionDiffusersMultiple Languages

ICEdit is an instructional image editing method based on large-scale diffusion transformers, achieving state-of-the-art editing effects with only 0.5% of training data and 1% of parameters.

Computer VisionDiffusersMultiple Languages