FLUX.1 Kontext Pro
FLUX.1 Kontext Pro is Black Forest Labs's multi-turn image editing model. It is built to preserve character identity, style, and visual consistency across sequential editing steps. It delivers fast inference relative to earlier models in its class.
import { experimental_generateImage as generateImage } from 'ai';
const result = await generateImage({ model: 'bfl/flux-kontext-pro', prompt: 'A red balloon on a wooden table.'});Playground
Try out FLUX.1 Kontext Pro by Black Forest Labs. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
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About FLUX.1 Kontext Pro
Black Forest Labs released FLUX.1 Kontext Pro on June 1, 2025 as the founding model of the Kontext suite. Black Forest Labs describes it as oriented toward fast iterative image editing: a model that lets you build on previous edits through multiple turns while keeping characters, identities, styles, and distinctive features consistent across scenes and viewpoints.
The architecture accepts both a text instruction and one or more reference images as input. Rather than regenerating a scene from scratch, the model identifies which elements should change and which to preserve. It applies targeted local modifications while leaving unspecified regions intact. Black Forest Labs's KontextBench evaluation covers six editing capabilities: character consistency across environments, local region editing, style reference transfer, text within images, background replacement, and interactive speed. Kontext Pro achieved its highest scores on text editing and character preservation tasks.
The multi-turn loop is what sets Kontext Pro apart operationally. Each edited output becomes the reference image for the next instruction. An editing session can progress through many sequential changes (adjusting clothing, then placing the character in a new scene, then modifying lighting) without losing the identity thread from step one. Black Forest Labs notes that sessions beyond roughly six turns can introduce visual artifacts.
What To Consider When Choosing a Provider
- Configuration: Kontext Pro's iterative editing loop, feeding one output as the next request's input, maps naturally to conversational editing interfaces where users refine an image through a sequence of natural language instructions. Compare $0.04 with other editing tiers.
- Zero Data Retention: AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use FLUX.1 Kontext Pro
Best For
- Conversational image editing: Products where users refine a single image through a sequence of natural language instructions, each building on the previous result
- Character consistency pipelines: Placing a specific person or product across multiple distinct scenes while preserving unique visual attributes
- Local editing tasks: Changing a background, swapping clothing, modifying an expression, or adjusting a single object without disturbing the rest of the frame
- Style reference workflows: Applying the aesthetic of a reference image to a new scene described in text
Consider Alternatives When
- Typography and prompt precision: Kontext Max targets exact prompt adherence and on-image text accuracy beyond Kontext Pro
- Masked region inpainting: FLUX.1 Fill Pro is built for mask-based fill rather than instruction-based editing
- Pure text-to-image generation: FLUX.2 Pro or FLUX.2 Max may be more appropriate when no reference image is needed
Conclusion
FLUX.1 Kontext Pro established iterative, identity-preserving image editing as a practical capability. A human or AI agent can refine an image through many turns without losing the character and style set at the outset. For applications built around conversational or multi-step image editing, Kontext Pro is the foundational model to evaluate.
Frequently Asked Questions
What makes Kontext Pro a multi-turn editing model?
The model accepts the output of one editing step as the reference image for the next. Each turn receives a new instruction and the previous result, preserving identity and style across steps. Black Forest Labs notes that sessions beyond roughly six turns can introduce visual artifacts.
How does Kontext Pro handle character consistency across different scenes?
The model extracts and retains distinctive visual features from the reference image (face, clothing, proportions, recognizable attributes) and reapplies them when generating a new scene. A specific character can be placed in an entirely different environment without reconstructing their appearance from scratch.
Does Kontext Pro perform both local and global edits?
Yes. Local editing modifies specific elements (an expression, an object, or a piece of text) while leaving surrounding regions unchanged. Global edits transform the entire scene context, moving a subject to a new environment while preserving their visual identity.
How does Kontext Pro score on KontextBench?
Kontext Pro achieves its highest scores on text editing and character preservation within KontextBench's six real-world editing categories, with measurable scores across all six.
What happens after many sequential editing turns?
Visual artifacts can accumulate. Black Forest Labs documents this limitation with an example showing degradation after six sequential edits. Shorter, more targeted editing sequences avoid this issue.
Does Kontext Pro support text-to-image generation without a reference?
Yes. You can use Kontext Pro for text-to-image generation without supplying a reference image.
What does FLUX.1 Kontext Pro cost per image?
See the pricing section on this page for today's rates. AI Gateway exposes each provider's pricing for FLUX.1 Kontext Pro.