Flux Kontext
A frontier image editing model developed by Black Forest Labs: precise local edits and transformations of existing images.
TL;DR
Decent choice for editing existing images with natural language prompts. Good with product shots but worse than latest image models (worse product fidelity, limited resolution, basic art direction).
Strengths for marketers
Precise local editing: Extremely accurate edits to specific parts of images without affecting the rest.
Product consistency: Maintains product details across different angles and variations.
Natural prompts: Works with simple commands like "change this" or "add that."
Fast generation: Under 10 seconds per generation, Max version even faster.
Text editing: Strong at swapping signs, labels, and in-image typography (especially Kontext Max).
Ideal use cases
Product shots (if not too complex)
Model/character consistency: Maintain same person or mascot across different scenes.
Post-production edits: Quick fixes and modifications to existing marketing materials.
Text replacement: Update signs, labels, or text within images.
Weaknesses
Limited to 720p resolution requiring upscaling (we recommend Topaz here)
People and skin details can look artificial without retouching
Basic art direction capabilities compared to some other models (e.g., Runway, Ideogram)
Not suitable for complex graphic design from scratch
How to use effectively
Flux Kontext excels with contextual understanding and simple, direct prompts:
Key principles
Use natural, conversational language to describe changes
Be specific about what to change and what to keep
The model understands image context automatically
Keep prompts focused on one main edit at a time
Effective prompt patterns
Object changes: "Turn the red car blue" or "Change the shirt to green"
Additions: "Add a woman standing next to the product"
Text edits: "Change the sign to say 'OPEN'"
Style transfer: "Make this look like an oil painting"
Removal: "Remove the person in the background"
Best practices
Start with the existing image as your base
Describe only what should change, not what should stay
Use simple, direct language rather than complex descriptions
Test variations with single-word changes for product shots
Model parameters
Model version
This model is available in two versions:
Pro: Default version
Max: More performant with long prompts & typography, costs more credits
Inputs accepted
Text
Text + 1 Reference Image
Output characteristics
Default Resolution: 720p
Available Aspect Ratios:
1:1 Square
2:3 Portrait
3:2 Standard
3:4 Traditional
4:3 Classic
16:9 Widescreen
9:16 Social Story
21:9 Widescreen
9:21 Widescreen
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