This is an experimental pre-trained model based on RouWei-0.8, adopting a 16-channel latent space architecture and using a Flux autoencoder. The model aims to achieve finer image details at a lower computational cost while retaining the knowledge and performance of the original model.

Computer VisionDiffusersEnglish

This is the Nunchaku quantization (SVDQ) version of the UltraReal Fine-Tune text-to-image model based on Danrisi's Flux architecture. The model offers two quantization formats: INT4 for non-Blackwell architecture GPUs (before the 50 series) and NVFP4 for Blackwell architecture GPUs (50 series), aiming to reduce hardware requirements while maintaining image generation quality.

Computer VisionDiffusersEnglish

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

This project performs MXFP4_MOE quantization on the Qwen3-VL-235B-A22B-Thinking model, aiming to provide more efficient image text-to-text conversion capabilities. This version is from unloth, and the context size has been extended from 256k to 1M. The model's performance in different scenarios is optimized through specific quantization techniques.

MultimodalGguf

This project provides a quantized version of the Huihui Qwen3-VL-30B-A3B-Instruct model, aiming to improve the performance and efficiency of the model in specific scenarios. This is a visual language model based on the Qwen3-VL architecture, supporting multimodal interaction between images and text.

MultimodalGguf

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

LFM2-VL-3B is a multimodal vision-language model developed by Liquid AI, built on the LFM2 backbone architecture. It has powerful visual understanding and reasoning capabilities, especially excelling in fine-grained perception tasks. This model can efficiently process text and image inputs and supports native image processing with a resolution of up to 512×512.

MultimodalTransformersMultiple Languages

DeepSeek-OCR is an advanced optical character recognition model developed by DeepSeek AI, focusing on exploring the boundaries of visual text compression and capable of efficiently extracting and converting text content from images.

MultimodalSafetensorsOther

This is a LoRA (Low-Rank Adaptation) model trained based on the Qwen-Image model, specifically designed for text-to-image generation tasks. This project is trained using AI Toolkit and can convert text descriptions into high-quality images, supporting use in various image generation tools.

MultimodalDiffusers

chroma_art-lora is a specially designed LoRA model aimed at endowing the generated images with unique artistic aesthetics, especially focusing on vivid colors and artistic styles. It is suitable for creating stylized digital artworks, such as anime, movie-like images, and desktop wallpapers.

Computer VisionDiffusers

This is a LoRA image generation model trained based on the Qwen/Qwen-Image-Edit-2509 base model, specifically designed for image-to-image conversion tasks, and trained using the AI Toolkit by Ostris.

Computer VisionDiffusers

kontext-dusk-3-lora is a LoRA image generation model trained based on the FLUX.1-Kontext-dev base model, specifically designed to generate images in the style of the twilight blue hour. This model is triggered by specific trigger words and supports the use of multiple mainstream AI image generation tools.

Computer VisionDiffusers

joywan-lora is a LoRA model trained based on AI Toolkit by Ostris, specifically designed for text-to-video and image generation tasks. It needs to be used in conjunction with the base model Wan-AI/Wan2.1-T2V-14B-Diffusers.

MultimodalDiffusers

Apriel-1.5-15b-Thinker is a multimodal reasoning model developed by the ServiceNow SLAM Lab, with a parameter scale of 15 billion. It has powerful text and image understanding and reasoning capabilities, adopting a chained reasoning mode of 'think-answer', aiming to achieve performance comparable to large models with a smaller model scale.

MultimodalTransformers

lans_v1 - lora is a text-to-image conversion model trained using the AI Toolkit by Ostris based on the Qwen/Qwen-Image model. It is optimized using LoRA technology and has good image generation capabilities.

MultimodalDiffusers

This is a LoRA adapter trained based on the Wan2.1-T2V-14B model, specifically designed for text-to-video conversion tasks and providing enhanced capabilities for image generation. This model is trained using the AI Toolkit and requires a specific trigger word 'diddly' to activate image generation.

MultimodalDiffusers

pejawan22-lora is a LoRA model trained based on AI technology, specifically designed for generating specific images and can be integrated with various AI tools. Images are generated by the trigger word 'peja'.

MultimodalDiffusers

natalie_wan_2.2-lora is a LoRA model trained based on AI Toolkit by Ostris, specifically designed for text-to-video conversion tasks, which can effectively improve the quality and effect of image generation.

MultimodalDiffusers

This is a LoRA model trained based on AI Toolkit by Ostris, specifically designed for the text-to-video image generation task. Use the trigger word 'Lilly' to generate image content in a specific style.

MultimodalDiffusers

This is a LoRA model trained based on AI Toolkit by Ostris, specifically designed for text-to-video conversion, bringing a new experience to image generation. This model needs to be used in conjunction with the base model Wan2.2-T2V-A14B.

MultimodalDiffusers