flux-txt2img

Generate images with Flux diffusion models and configure KSampler settings.

530|85|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/artokun/comfyui-mcp --skill flux-txt2img
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: flux-txt2img
Source: https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/flux-txt2img
Command: npx skills add https://github.com/artokun/comfyui-mcp --skill flux-txt2img

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of generating images using various Flux diffusion models, handling complex model configurations and sampler settings.

Core Features & Use Cases

  • Model Variety: Supports Flux.1 Dev SRPO, Flux 2 Klein 9B, and Flux 2 Turbo LoRA.
  • Advanced Conditioning: Utilizes CLIPTextEncodeFlux and FluxGuidance for precise control.
  • Use Case: Generate a high-quality portrait using the Flux.1 Dev SRPO model with specific guidance values and resolutions, or quickly iterate on ideas with the 4-step Flux 2 Klein 9B model.

Quick Start

Generate an image of a futuristic city using the Flux 2 Klein 9B model with a 4-step generation process.

Frequently Asked Questions about flux-txt2img

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

FAQPage Schema
How do I generate images using Flux diffusion models in ComfyUI?

Use this Skill to generate Flux diffusion images by configuring KSampler settings like steps, CFG, sampler, and scheduler, alongside advanced conditioning via CLIPTextEncodeFlux and FluxGuidance for optimal results.

What is the difference between Flux.1 Dev SRPO and Flux 2 Klein 9B for image generation?

Flux.1 Dev SRPO targets high-quality portraits with specific guidance values, while Flux 2 Klein 9B enables rapid 4-step generation to quickly iterate on ideas.

Can I use custom LoRA variants with Flux models for text-to-image generation?

Yes, custom LoRA integration is supported for Flux text-to-image generation, including Flux.1 Dev SRPO, Flux 2 Klein 9B, and Flux 2 Turbo LoRA variants.

What VRAM requirements do I need for Flux diffusion image generation?

VRAM requirements for Flux diffusion image generation vary by model, and this Skill provides specific guidance on necessary memory allocation for optimal sampler and conditioning performance.

How does FluxGuidance conditioning work for prompt styling?

FluxGuidance works with CLIPTextEncodeFlux to provide advanced conditioning and precise control over prompt styling, ensuring the Flux model accurately interprets text inputs.

What's the best way to configure KSampler settings for Flux 2 Turbo?

Configure KSampler settings for Flux 2 Turbo by adjusting steps, CFG, sampler, and scheduler as guided by the Skill to achieve optimal text-to-image results.