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AnastasiyaW
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flux2-klein-prompting

Create structured FLUX.2 klein prompts for text-to-image and image-to-image workflows.

140|23|Updated Mar 28, 2026
Search Tags:#prompt engineering#text-to-image#image-editing#multi-reference#bfl-api#flux2#flux-klein
One-click install
npx skills add https://github.com/AnastasiyaW/claude-code-config --skill flux2-klein-prompting
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: flux2-klein-prompting
Source: https://github.com/AnastasiyaW/claude-code-config/tree/main/skills/ai-ml/flux2-klein-prompting
Command: npx skills add https://github.com/AnastasiyaW/claude-code-config --skill flux2-klein-prompting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes guesswork from crafting prompts for FLUX.2 [klein], turning ad-hoc trial-and-error into repeatable, production-ready prompts that produce predictable T2I and I2I results and preserve required image elements during edits.

Core Features & Use Cases

  • Structured prompt templates for text-to-image, image-editing (I2I), and multi-reference workflows including product mockups, posters, UI mockups, character design, sticker packs, and seamless textures.
  • Mode and API guidance covering distilled vs base tradeoffs, seed and resolution constraints, recommended defaults, and klein-specific API fields (prompt, input_image, up to 4 refs, safety_tolerance, output_format, webhook).
  • Practical examples & troubleshooting including Russian-language templates, preservation clauses for edits, and iterations for preview→refine→final workflows.

Quick Start

Write a FLUX.2 prompt to generate a photorealistic product mockup of a red coffee mug on a neutral background, include the exact sign text "ОТКРЫТО", request a distilled preview for quick iteration, then run a base final render.

Frequently Asked Questions about flux2-klein-prompting

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

FAQPage Schema
How do I write effective text-to-image prompts for FLUX.2 klein?▼

Effective text-to-image prompts for FLUX.2 klein require structured templates that satisfy specific prompt structure rules, seed constraints, and klein API field requirements to produce predictable, high-fidelity outputs.

How do I preserve specific elements during image-to-image edits in FLUX.2?▼

To preserve specific elements during image-to-image edits in FLUX.2, apply preservation clauses within your structured prompt to ensure required image elements remain intact while modifying other regions.

What is the difference between distilled and base mode in FLUX.2 klein?▼

Distilled mode enables quick preview iterations for fast rendering, whereas base mode provides higher fidelity final renders, allowing a structured preview to refine to final workflow.

Can I use multi-reference inputs for product mockups and character design with FLUX.2?▼

Yes, multi-reference workflows in FLUX.2 support up to 4 reference images via the input_image API field, specifically enabling predictable outputs for product mockups, character design, and sticker packs.

What are the API field requirements for FLUX.2 klein image generation?▼

FLUX.2 klein API field requirements include prompt, input_image, up to 4 refs, safety_tolerance, output_format, and webhook, which must be configured correctly to ensure successful generation.

Why are my FLUX.2 klein prompts producing unpredictable results?▼

Unpredictable FLUX.2 klein prompts often result from ignoring seed and resolution constraints, failing to use structured templates, or missing essential API fields required for high-fidelity outputs.

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