flux-2-klein

Generate images from text prompts using Flux 2 Klein on RunComfy.

31|9|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill flux-2-klein-agentspace-so
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: flux-2-klein
Source: https://github.com/agentspace-so/runcomfy-agent-skills/tree/main/flux-2-klein
Command: npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill flux-2-klein-agentspace-so

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates slow, trial-and-error image generation by guiding users to produce sharper results from Flux 2 Klein with model-aligned prompting and the right step strategy.

Core Features & Use Cases

  • Two routed variants (4B for speed, 9B for polish): choose low-latency concepting or higher-fidelity final output using the same prompt grammar and endpoint shape.
  • Model-aligned prompting guidance: subject-first declarative structure, specificity-first phrasing, and step-count recommendations (4–8 for iteration, ~25 for polish).
  • Multi-reference brand styling support: up to 4 reference images to keep style consistent across iterations and brand assets.
  • Direct RunComfy execution: calls the RunComfy CLI to run blackforestlabs/flux-2-klein/<variant>/text-to-image and downloads results from the allowed output domains.

Quick Start

Use the flux-2-klein skill when you want to generate an image quickly with the prompt, routing to Flux 2 Klein 4B for fast iteration or 9B for a final polished pass.

Frequently Asked Questions about flux-2-klein

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

FAQPage Schema
How do I generate images with text prompts using RunComfy and Flux 2 Klein?

To generate images with text prompts using RunComfy and Flux 2 Klein, you invoke the RunComfy CLI against the blackforestlabs/flux-2-klein text-to-image endpoints. You provide a JSON input schema containing your prompt, steps, width, height, and optional reference images.

What is the difference between Flux 2 Klein 4B and 9B for image generation?

Flux 2 Klein 4B routes for speed and low-latency concepting, while 9B routes for higher-fidelity final polished output. Both variants use the same prompt grammar and endpoint shape, allowing you to switch between rapid iteration and final polish.

Can I use reference images to keep brand styling consistent in Flux 2 Klein?

Yes, you can use up to 4 reference images in Flux 2 Klein to maintain multi-reference brand styling. This keeps style consistent across creative iterations and brand assets during your text-to-image generation workflow.

How many steps should I use for text-to-image generation in Flux 2 Klein?

For text-to-image generation in Flux 2 Klein, use 4 to 8 steps for rapid iteration and approximately 25 steps for a final polished pass. Adjusting the step count lets you balance processing speed and output fidelity.

What is the best way to structure prompts for Flux 2 Klein image generation?

The best way to structure prompts for Flux 2 Klein image generation is using a subject-first declarative structure and specificity-first phrasing. This model-aligned prompting guidance produces sharper results and reduces trial-and-error.

Does Flux 2 Klein image generation allow custom width and height dimensions?

Yes, Flux 2 Klein image generation allows you to adjust image dimensions by specifying width and height in the JSON input schema. You must adjust these dimensions within the model’s documented constraints.