Does this skill support negative prompts for FLUX?

No, FLUX models do not support negative prompts. This skill provides guidelines on using specific, natural language and positive descriptions to achieve the desired output.

Can I use this skill for image-to-image editing?

Yes, the skill includes specialized rules for I2I prompting, multi-reference editing, and inpainting using models like FLUX.2 Pro/Max and FLUX.1 Fill.

How does the skill handle color accuracy?

The skill instructs users to use #RRGGBB hex formats along with natural language color descriptions to ensure precise brand and asset generation.

Which FLUX model is best for typography and text?

FLUX.2 [flex] is specifically recommended for use cases requiring the highest quality typography and text rendering.

FLUX Image Generation Best Practices

Name: FLUX Image Generation Best Practices
Author: black-forest-labs

byblack-forest-labs

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数据科学与机器学习

Optimizes image generation workflows using Black Forest Labs FLUX models through expert prompting and API integration patterns.

关于

This skill provides a comprehensive framework for interacting with the FLUX.1 and FLUX.2 model families, enabling users to generate high-fidelity images with precision. It automates best practices for text-to-image and image-to-image workflows, covering everything from specific prompt formulas and typography rendering to complex JSON-structured scene composition and hex-accurate color specifications. By integrating these official guidelines from Black Forest Labs, Claude can help developers and creators select the right model variant—whether for sub-second speed with FLUX.2 [klein] or maximum detail with FLUX.2 [max]—while avoiding common pitfalls like negative prompting.

主要功能

27 GitHub stars
Standardized Prompt Structure Formula for optimal interpretation
Image-to-Image (I2I) and Multi-Reference editing patterns
Precise Hex Color specification and lighting-focused prompting
Model Selection Guidance across the FLUX.1 and FLUX.2 families
Advanced Typography and precise text rendering controls

使用场景

Generating high-fidelity brand assets with specific hex colors and typography
Building complex visual scenes via structured JSON prompting and API integration
Automating image-to-image editing and inpainting tasks for AI applications

关于

主要功能

27 GitHub stars
Standardized Prompt Structure Formula for optimal interpretation
Image-to-Image (I2I) and Multi-Reference editing patterns
Precise Hex Color specification and lighting-focused prompting
Model Selection Guidance across the FLUX.1 and FLUX.2 families
Advanced Typography and precise text rendering controls

使用场景

Generating high-fidelity brand assets with specific hex colors and typography
Building complex visual scenes via structured JSON prompting and API integration
Automating image-to-image editing and inpainting tasks for AI applications