flux2-dev-gguf is an image-to-image conversion model based on FLUX.2-dev, specifically designed to generate images in a specific style based on text prompts. This model supports running in the ComfyUI environment and can convert text descriptions into stylized visual content.

MultimodalGgufEnglish

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

Qwen3-VL-8B-Instruct is a visual-language model developed by Qwen, optimized through MLX quantization, and specifically designed for Apple Silicon devices. This model supports multi-modal input of images and text, and can understand and generate text content related to images.

MultimodalMlx

Qwen2.5-VL-7B-Instruct is a multimodal vision-language model developed by the Tongyi Qianwen team at Alibaba. Based on a parameter scale of 7 billion, it is specifically optimized and trained for visual question-answering tasks. This model can understand and analyze image content and generate accurate natural language answers.

MultimodalSafetensorsEnglish

Chroma is a high-quality text-to-image generation model that focuses on generating realistic image content. This model uses advanced diffusion technology and can generate high-quality visual content based on text descriptions, which is particularly suitable for image creation needs in local deployment environments.

Computer VisionGgufEnglish

This is a text-to-image generation model based on the Civitai platform, capable of converting text descriptions into high-quality images. The model supports optimization through quantization tools and is suitable for creative design and visual content generation.

Computer VisionGguf

Chroma1-HD is a text-to-image generation base model based on the FLUX.1-schnell architecture, with 8.9 billion parameters, and uses the Apache 2.0 open-source license. This model is specifically designed for fine-tuning, providing a powerful image generation foundation for developers and researchers, and supporting the creation of various specialized visual content.

Computer VisionDiffusers

Realism Illustrious is a text-to-image generation model based on Stable Diffusion XL, specifically optimized for generating images in anime and realistic styles. This model excels in character details, color gradient, and dynamic range, capable of generating high-quality visual content.

Computer VisionDiffusersEnglish

This is a text-to-image generation model based on LoRA and Diffusers technology, specifically designed to generate images in the style of American stars. The model is based on black-forest-labs/FLUX.1-dev and uses the specific trigger word 'American Starlet' to generate visual content in the style of American stars.

Computer VisionDiffusers

This is a text-to-image generation model based on FLUX.1-Kontext-dev, supporting the LoRA and Diffusers frameworks, and capable of generating corresponding visual content based on text descriptions.

Computer VisionDiffusers

ARC-Hunyuan-Video-7B is a multimodal model developed by Tencent ARC Lab, specifically designed to understand short video content in the real world. It can process visual, audio, and text signals end-to-end, achieving in-depth structured understanding of videos by integrating multimodal clues.

MultimodalTransformers

This is a quantized version based on Google's Gemma 3 12B instruction-tuned model, using INT4 weight quantization and FP16 activation quantization techniques. It significantly improves inference efficiency while maintaining model performance. This model supports visual-text multimodal input and outputs text content.

MultimodalTransformers

Wai RealCN is a text-to-image generation model based on Stable Diffusion XL technology, focusing on generating realistic and lifelike images. This model has high-quality image generation capabilities and is particularly good at handling Chinese prompts and generating visual content with a sense of realism.

Computer VisionDiffusers

FastVLM-0.5B-Stage2 is an efficient multimodal language model capable of understanding visual content and handling text tasks.

MultimodalTransformersEnglish

QwenGuard-v1.2-3B is a visual security protection model developed based on Qwen/Qwen2.5-VL-3B-Instruct, designed for assessing the safety of image content.

MultimodalTransformers

A visual question answering model fine-tuned based on InternVL3-1B and Vintern-1B-v3_5, supporting Vietnamese, suitable for image content understanding and question-answering tasks.

MultimodalSafetensorsOther

Adasah is a fine-tuned version of the Qwen 2.5 3B model, optimized for Arabic visual understanding scenarios, supporting Arabic visual question answering and image content comprehension.

MultimodalTransformers

ZenCtrl is an intelligent agent that automates personalized visual content creation workflows, capable of performing various design tasks and training custom models.

This is a fine-tuned version of CLIP-GPT2 for real-time image captioning tasks, designed to assist visually impaired individuals in understanding image content.

MultimodalTransformers

granite-vision-3.2-2b is a compact and efficient vision-language model specifically designed for visual document understanding, capable of automatically extracting content from tables, charts, infographics, and more.

MultimodalTransformersEnglish