workflow-templates-broken-zap-2026-06-08/site/knowledge/models/qwen.md

Qwen

Qwen is Alibaba's family of vision-language and image generation models, spanning visual understanding, image editing, and image generation.

Model Variants

Qwen2.5-VL

• Multimodal vision-language model from the Qwen team
• Available in 3B, 7B, and 72B parameter sizes
• Image understanding, video comprehension (1+ hour videos), and visual localization
• Visual agent capabilities: computer use, phone use, dynamic tool calling
• Structured output generation for invoices, forms, and tables
• Dynamic resolution and frame rate training for video understanding
• Optimized ViT encoder with window attention, SwiGLU, and RMSNorm

Qwen-Image-Edit

• Specialized image editing model with instruction-following
• Supports inpainting, outpainting, style transfer, and content-aware edits
• 11 workflow templates available

Qwen-Image

• Text-to-image generation model from the Qwen family
• 7 workflow templates available

Qwen-Image-Layered

• Layered image generation for composable outputs
• Generates images with separate foreground/background layers
• 2 workflow templates available

Qwen-Image 2512

• Specific variant optimized for particular generation tasks
• 1 workflow template available

Key Features

• Strong visual understanding with state-of-the-art benchmark results
• Native multi-language support including Chinese and English
• Visual agent capabilities for computer and phone interaction
• Video event capture with temporal segment pinpointing
• Bounding box and point-based visual localization
• Structured JSON output for document and table extraction
• Instruction-based image editing with precise control

Hardware Requirements

• 3B model: 6-8GB VRAM
• 7B model: 16GB VRAM, flash_attention_2 recommended for multi-image/video
• 72B model: Multi-GPU setup required (80GB+ per GPU)
• Context length: 32,768 tokens default, extendable to 64K+ with YaRN
• Dynamic pixel budget: 256-1280 tokens per image (configurable min/max pixels)

Common Use Cases

• Image editing based on text instructions
• Visual question answering and image description
• Long video comprehension and event extraction
• Document OCR and structured data extraction
• Visual agent tasks (screen interaction, UI navigation)
• Layered image generation for design workflows
• Text-to-image generation with strong prompt following

Key Parameters

• max_new_tokens: Controls output length for VL model responses
• min_pixels / max_pixels: Control image token budget (e.g. 256x28x28 to 1280x28x28)
• temperature: Generation diversity for text outputs
• resized_height / resized_width: Direct image dimension control (rounded to nearest 28)
• fps: Frame rate for video input processing in Qwen2.5-VL

Blog References

• Qwen Image Edit 2511 & Qwen Image Layered — Better character consistency, RGBA layer decomposition, built-in LoRA support