qwen-txt2img

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

530|85|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/artokun/comfyui-mcp --skill qwen-txt2img
Or copy as Structured Prompt for Agent
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.