qwen-txt2img

Generate images with the Qwen Image 2512 model using integrated or separate workflows.

530|85|Updated Feb 15, 2026

Search Tags:#workflow #image generation #text-to-image #qwen #lora #comfyui

Ready to run

npx skills add https://github.com/artokun/comfyui-mcp --skill qwen-txt2img

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: qwen-txt2img
Source: https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/qwen-txt2img
Command: npx skills add https://github.com/artokun/comfyui-mcp --skill qwen-txt2img

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables users to generate high-quality images using the Qwen Image 2512 model, offering flexible workflow options and optimized settings for various use cases.

Core Features & Use Cases

Two Workflow Approaches: Choose between the all-in-one QwenImageIntegratedKSampler or a more flexible separate component loading pipeline.
Model Variants & LoRAs: Supports fine-tuned models, lightning LoRAs for speed, and concept/style LoRAs for customization.
Optimized Sampler Settings: Provides presets for different quality levels, from fast 4-step generations to high-quality 50-step outputs.
Resolution Guidance: Offers recommended resolutions for various aspect ratios and use cases.
Use Case: Generate a hyper-realistic product shot using the qwenUltimateRealism_v11 model with optimized sampler settings and a specific resolution.

Quick Start

Use the qwen-txt2img skill to generate an image of a serene landscape using the integrated sampler with lightning 4-step settings.

Frequently Asked Questions about qwen-txt2img

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate images using the Qwen Image 2512 model in ComfyUI?▼

To generate images with the Qwen Image 2512 model, you can use an integrated workflow or a separate component pipeline. The Skill provides optimized sampler settings and resolution guidance for high-quality outputs.

Can I use lightning LoRAs for faster text-to-image generation with Qwen models?▼

Yes, you can use lightning LoRAs for fast text-to-image generation. The workflow supports 4-step generations for speed, along with concept and style LoRAs for further visual customization.

What is the difference between the integrated sampler and separate component loading for Qwen image generation?▼

The integrated QwenImageIntegratedKSampler provides an all-in-one text-to-image approach, while separate component loading offers a more flexible pipeline. Both support fine-tuned models and various sampler configurations.

Does the Qwen text-to-image workflow support negative prompts and optimized resolutions?▼

Yes, the Qwen text-to-image workflow includes negative prompt handling and offers recommended resolutions for various aspect ratios. This ensures high-quality outputs across different use cases like hyper-realistic product shots.

What sampler settings should I use for high-quality Qwen image outputs?▼

For high-quality Qwen image outputs, you can use the optimized 50-step sampler presets. The workflow also provides faster 4-step configurations when rapid text-to-image generation is needed.

Can I apply fine-tuned models for hyper-realistic product shots using the Qwen workflow?▼

Yes, you can generate hyper-realistic product shots by applying fine-tuned models like qwenUltimateRealism_v11. The workflow pairs these models with optimized sampler settings and specific resolutions.