flux-best-practices

FLUX Best Practices

Use this skill when generating prompts for any BFL FLUX model to ensure optimal image quality and accurate prompt interpretation.

When to Use

Creating prompts for FLUX.2 or FLUX.1 models
Text-to-image (T2I) generation
Image-to-image (I2I) editing with FLUX.2 models
Structured scene generation with JSON
Typography and text rendering
Multi-reference style transfer
Color-accurate brand generations

Quick Reference

Prompt Structure Formula

[Subject] + [Action/Pose] + [Style/Medium] + [Context/Setting] + [Lighting] + [Camera/Technical]

Model Selection

Use Case	Recommended Model	Notes
Fastest generation	FLUX.2 [klein]	4B or 9B, sub-second
Highest quality	FLUX.2 [max]	Best detail, grounding search
Production balanced	FLUX.2 [pro]	Quality + speed
Typography/text	FLUX.2 [flex]	Best text rendering
Local/development	FLUX.2 [dev]	Open weights
Image editing	FLUX.2 [pro/max]	Pass image URL directly to input_image
Inpainting	FLUX.1 Fill	Object removal/completion
Context editing	FLUX.1 Kontext	Older model, prefer FLUX.2

Critical Rules

NO negative prompts - FLUX does not support negative prompts; describe what you want
Be specific - Vague prompts produce mediocre results
Use natural language - Prose/narrative style works best
Specify lighting - Lighting has the biggest impact on quality
Quote text - Use "quoted text" for typography rendering
Hex colors - Use #RRGGBB format with color description

For API integration (endpoints, polling, webhooks), see the bfl-api skill.

Rules Reference

Read individual rule files for detailed guidance:

rules/core-principles.md [blocked] - Universal FLUX prompting principles
rules/flux2-models.md [blocked] - FLUX.2 family: klein, max, pro, flex, dev
rules/flux1-models.md [blocked] - FLUX.1 family: older generation of FLUX.2 models - pro, Kontext, Fill
rules/t2i-prompting.md [blocked] - Text-to-image prompting patterns
rules/i2i-prompting.md [blocked] - Image-to-image editing with FLUX.2
rules/json-structured-prompting.md [blocked] - Complex scene composition
rules/hex-color-prompting.md [blocked] - Precise color specification
rules/typography-text.md [blocked] - Text rendering and typography
rules/multi-reference-editing.md [blocked] - Multi-image references
rules/negative-prompt-alternatives.md [blocked] - Positive alternatives
rules/model-selection-guide.md [blocked] - Choosing the right model

Example Prompt

A weathered fisherman in his 70s with deep wrinkles and a salt-and-pepper beard,
wearing a navy cable-knit sweater, standing at the helm of his wooden boat.
Golden hour sunlight from the left creates dramatic rim lighting on his profile.
Shot on Hasselblad with 85mm lens at f/2.8, shallow depth of field with harbor
lights creating soft bokeh in the background. Kodak Portra 400 color science.

FLUX Best Practices

Use this skill when generating prompts for any BFL FLUX model to ensure optimal image quality and accurate prompt interpretation.

When to Use

Creating prompts for FLUX.2 or FLUX.1 models

Text-to-image (T2I) generation

Image-to-image (I2I) editing with FLUX.2 models

Structured scene generation with JSON

Typography and text rendering

Multi-reference style transfer

Color-accurate brand generations

Quick Reference

Prompt Structure Formula

[Subject] + [Action/Pose] + [Style/Medium] + [Context/Setting] + [Lighting] + [Camera/Technical]

Model Selection

Use Case	Recommended Model	Notes
Fastest generation	FLUX.2 [klein]	4B or 9B, sub-second
Highest quality	FLUX.2 [max]	Best detail, grounding search
Production balanced	FLUX.2 [pro]	Quality + speed
Typography/text	FLUX.2 [flex]	Best text rendering
Local/development	FLUX.2 [dev]	Open weights
Image editing	FLUX.2 [pro/max]	Pass image URL directly to input_image
Inpainting	FLUX.1 Fill	Object removal/completion
Context editing	FLUX.1 Kontext	Older model, prefer FLUX.2

Critical Rules

NO negative prompts - FLUX does not support negative prompts; describe what you want

Be specific - Vague prompts produce mediocre results

Use natural language - Prose/narrative style works best

Specify lighting - Lighting has the biggest impact on quality

Quote text - Use "quoted text" for typography rendering

Hex colors - Use #RRGGBB format with color description

For API integration (endpoints, polling, webhooks), see the bfl-api skill.

Rules Reference

Read individual rule files for detailed guidance:

rules/core-principles.md [blocked] - Universal FLUX prompting principles

rules/flux2-models.md [blocked] - FLUX.2 family: klein, max, pro, flex, dev

rules/flux1-models.md [blocked] - FLUX.1 family: older generation of FLUX.2 models - pro, Kontext, Fill

rules/t2i-prompting.md [blocked] - Text-to-image prompting patterns

rules/i2i-prompting.md [blocked] - Image-to-image editing with FLUX.2

rules/json-structured-prompting.md [blocked] - Complex scene composition

rules/hex-color-prompting.md [blocked] - Precise color specification

rules/typography-text.md [blocked] - Text rendering and typography

rules/multi-reference-editing.md [blocked] - Multi-image references

rules/negative-prompt-alternatives.md [blocked] - Positive alternatives

rules/model-selection-guide.md [blocked] - Choosing the right model

Example Prompt

A weathered fisherman in his 70s with deep wrinkles and a salt-and-pepper beard,
wearing a navy cable-knit sweater, standing at the helm of his wooden boat.
Golden hour sunlight from the left creates dramatic rim lighting on his profile.
Shot on Hasselblad with 85mm lens at f/2.8, shallow depth of field with harbor
lights creating soft bokeh in the background. Kodak Portra 400 color science.

Documentation

Documentation