Flux Krea API

Krea
Image To Image
Redux

Endpoint: POST https://fal.run/fal-ai/flux/krea Endpoint ID: fal-ai/flux/krea

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/flux/krea",
    arguments={
        "prompt": "A candid street photo of a woman with a pink bob and bold eyeliner on a graffiti-covered subway platform. She wears a bright yellow patent leather coat over a black-and-white checkered turtleneck and platform boots. Natural subway lighting creates an authentic urban scene with a relaxed, unposed feel."
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/flux/krea", {
  input: {
      prompt: "A candid street photo of a woman with a pink bob and bold eyeliner on a graffiti-covered subway platform. She wears a bright yellow patent leather coat over a black-and-white checkered turtleneck and platform boots. Natural subway lighting creates an authentic urban scene with a relaxed, unposed feel."
    },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

curl --request POST \
  --url https://fal.run/fal-ai/flux/krea \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "prompt": "A candid street photo of a woman with a pink bob and bold eyeliner on a graffiti-covered subway platform. She wears a bright yellow patent leather coat over a black-and-white checkered turtleneck and platform boots. Natural subway lighting creates an authentic urban scene with a relaxed, unposed feel."
}'

Input Schema

string

required

The prompt to generate an image from.

ImageSize | Enum

default:"landscape_4_3"

The size of the generated image. Default value: landscape_4_3Possible values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9

integer

default:"28"

The number of inference steps to perform. Default value: 28Range: 1 to 50

integer

The same seed and the same prompt given to the same version of the model will output the same image every time.

float

default:"4.5"

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Default value: 4.5Range: 1 to 20

boolean

default:"false"

If True, the media will be returned as a data URI and the output data won’t be available in the request history.

integer

default:"1"

The number of images to generate. Default value: 1Range: 1 to 4

boolean

default:"true"

If set to true, the safety checker will be enabled. Default value: true

OutputFormatEnum

default:"jpeg"

The format of the generated image. Default value: "jpeg"Possible values: jpeg, png

AccelerationEnum

default:"none"

The speed of the generation. The higher the speed, the faster the generation. Default value: "none"Possible values: none, regular, high

Output Schema

list<Image>

required

The generated images.

Timings

required

integer

required

Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed.

list<boolean>

required

Whether the generated images contain NSFW concepts.

string

required

The prompt used for generating the image.

Input Example

{
  "prompt": "A candid street photo of a woman with a pink bob and bold eyeliner on a graffiti-covered subway platform. She wears a bright yellow patent leather coat over a black-and-white checkered turtleneck and platform boots. Natural subway lighting creates an authentic urban scene with a relaxed, unposed feel.",
  "image_size": "landscape_4_3",
  "num_inference_steps": 28,
  "guidance_scale": 4.5,
  "sync_mode": false,
  "num_images": 1,
  "enable_safety_checker": true,
  "output_format": "jpeg",
  "acceleration": "none"
}

Output Example

{
  "images": [
    {
      "content_type": "image/jpeg",
      "height": 768,
      "url": "https://storage.googleapis.com/falserverless/example_outputs/flux_krea_t2i_output_1.jpg",
      "width": 1024
    }
  ],
  "prompt": ""
}

Endpoint: POST https://fal.run/fal-ai/flux/krea/image-to-image Endpoint ID: fal-ai/flux/krea/image-to-image

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/flux/krea/image-to-image",
    arguments={
        "image_url": "https://fal.media/files/koala/Chls9L2ZnvuipUTEwlnJC.png",
        "prompt": "A cat dressed as a wizard with a background of a mystic forest."
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/flux/krea/image-to-image", {
  input: {
      image_url: "https://fal.media/files/koala/Chls9L2ZnvuipUTEwlnJC.png",
      prompt: "A cat dressed as a wizard with a background of a mystic forest."
    },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

curl --request POST \
  --url https://fal.run/fal-ai/flux/krea/image-to-image \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "image_url": "https://fal.media/files/koala/Chls9L2ZnvuipUTEwlnJC.png",
  "prompt": "A cat dressed as a wizard with a background of a mystic forest."
}'

Input Schema

string

required

The URL of the image to generate an image from.

float

default:"0.95"

The strength of the initial image. Higher strength values are better for this model. Default value: 0.95Range: 0.01 to 1

integer

default:"40"

The number of inference steps to perform. Default value: 40Range: 10 to 50

string

required

The prompt to generate an image from.

integer

The same seed and the same prompt given to the same version of the model will output the same image every time.

float

default:"4.5"

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Default value: 4.5Range: 1 to 20

boolean

default:"false"

If True, the media will be returned as a data URI and the output data won’t be available in the request history.

integer

default:"1"

The number of images to generate. Default value: 1Range: 1 to 4

boolean

default:"true"

If set to true, the safety checker will be enabled. Default value: true

OutputFormatEnum

default:"jpeg"

The format of the generated image. Default value: "jpeg"Possible values: jpeg, png

AccelerationEnum

default:"none"

The speed of the generation. The higher the speed, the faster the generation. Default value: "none"Possible values: none, regular, high

Output Schema

list<Image>

required

The generated image files info.

Timings

required

integer

required

Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed.

list<boolean>

required

Whether the generated images contain NSFW concepts.

string

required

The prompt used for generating the image.

Input Example

{
  "image_url": "https://fal.media/files/koala/Chls9L2ZnvuipUTEwlnJC.png",
  "strength": 0.95,
  "num_inference_steps": 40,
  "prompt": "A cat dressed as a wizard with a background of a mystic forest.",
  "guidance_scale": 4.5,
  "sync_mode": false,
  "num_images": 1,
  "enable_safety_checker": true,
  "output_format": "jpeg",
  "acceleration": "none"
}

Output Example

{
  "images": [
    {
      "url": "",
      "content_type": "image/jpeg"
    }
  ],
  "prompt": ""
}

Endpoint: POST https://fal.run/fal-ai/flux/krea/redux Endpoint ID: fal-ai/flux/krea/redux

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/flux/krea/redux",
    arguments={
        "image_url": "https://storage.googleapis.com/falserverless/example_inputs/flux_krea_redux_output_1.jpg"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/flux/krea/redux", {
  input: {
      image_url: "https://storage.googleapis.com/falserverless/example_inputs/flux_krea_redux_output_1.jpg"
    },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

curl --request POST \
  --url https://fal.run/fal-ai/flux/krea/redux \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/flux_krea_redux_output_1.jpg"
}'

Input Schema

string

required

The URL of the image to generate an image from.

ImageSize | Enum

default:"landscape_4_3"

The size of the generated image. Default value: landscape_4_3Possible values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9

integer

default:"28"

The number of inference steps to perform. Default value: 28Range: 1 to 50

integer

The same seed and the same prompt given to the same version of the model will output the same image every time.

float

default:"4.5"

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Default value: 4.5Range: 1 to 20

boolean

default:"false"

If True, the media will be returned as a data URI and the output data won’t be available in the request history.

integer

default:"1"

The number of images to generate. Default value: 1Range: 1 to 4

boolean

default:"true"

If set to true, the safety checker will be enabled. Default value: true

OutputFormatEnum

default:"jpeg"

The format of the generated image. Default value: "jpeg"Possible values: jpeg, png

AccelerationEnum

default:"none"

The speed of the generation. The higher the speed, the faster the generation. Default value: "none"Possible values: none, regular, high

Output Schema

list<Image>

required

The generated images.

Timings

required

integer

required

Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed.

list<boolean>

required

Whether the generated images contain NSFW concepts.

string

required

The prompt used for generating the image.

Input Example

{
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/flux_krea_redux_output_1.jpg",
  "image_size": "landscape_4_3",
  "num_inference_steps": 28,
  "guidance_scale": 4.5,
  "sync_mode": false,
  "num_images": 1,
  "enable_safety_checker": true,
  "output_format": "jpeg",
  "acceleration": "none"
}

Output Example

{
  "images": [
    {
      "content_type": "image/jpeg",
      "height": 768,
      "url": "https://storage.googleapis.com/falserverless/example_outputs/flux_krea_redux_output_1.jpg",
      "width": 1024
    }
  ],
  "prompt": ""
}

Black Forest Labs’ FLUX.1 Krea [dev] delivers high-quality image generation from a 12 billion parameter flow transformer at $0.025 per megapixel. Trading raw parameter count for aesthetic refinement through collaboration with Krea AI, this model prioritizes visual quality and commercial viability over pure speed. Built for creators and enterprises needing production-ready images without the licensing restrictions of research-only alternatives. Use Cases: Commercial Product Photography | Marketing Asset Generation | Creative Concept Visualization

Performance

FLUX.1 Krea [dev] is a commercially-licensed alternative in the FLUX family, offering flexible resolution scaling with per-megapixel pricing that becomes cost-competitive at lower resolutions, delivering 40 generations per $1.00 at standard sizes.

Metric	Result	Context
Parameter Count	12 billion	Flow transformer architecture optimized for aesthetic quality
Inference Steps	28 (default)	Configurable 1-50 steps for speed/quality tradeoff
Cost per Megapixel	$0.025	40 generations per $1.00 at 1MP; images billed by rounding up to nearest megapixel
Max Resolution	Up to 4 megapixels	Flexible aspect ratios via landscape/portrait/square presets
Batch Generation	1-4 images	Single API call generates multiple variations
Related Endpoints	FLUX.1 [dev], FLUX.1 SRPO [dev]	Standard dev vs aesthetic-tuned vs style-refined variants

Commercial-Ready Generation with Aesthetic Focus

FLUX.1 Krea [dev] implements a 12 billion parameter flow transformer architecture tuned specifically for aesthetic quality through Black Forest Labs’ collaboration with Krea AI. Unlike research-licensed models that restrict commercial use, this variant ships with full commercial permissions while maintaining the prompt interpretation capabilities of the base FLUX.1 architecture. What this means for you:

Flexible Resolution Scaling: Generate from sub-megapixel thumbnails to 4MP hero images with per-megapixel billing, paying only for the resolution you need rather than flat per-image costs
Configurable Quality Control: Adjust inference steps (1-50) and guidance scale (1-20) to balance generation speed against prompt adherence for different production workflows
Built-in Safety Filtering: Optional safety checker validates outputs against NSFW concepts before delivery, reducing moderation overhead for customer-facing applications
Batch Efficiency: Generate up to 4 variations per API call with consistent seed control for A/B testing creative concepts without multiple requests

Technical Specifications

Spec	Details
Architecture	FLUX.1 Krea [dev]
Input Formats	Text prompts with optional seed control
Output Formats	JPEG, PNG
Max Resolution	4 megapixels with preset aspect ratios (landscape_4_3, portrait_16_9, square_1_1)
License	Commercial use permitted

API Documentation | Quickstart Guide | Enterprise Pricing

How It Stacks Up

FLUX.1 [dev] ($0.025/MP) – FLUX.1 Krea [dev] trades the base model’s research-only license for commercial permissions while adding aesthetic tuning from Krea AI’s dataset at identical pricing. FLUX.1 [dev] remains ideal for research applications where licensing restrictions aren’t a concern. FLUX.1 SRPO [dev] ($0.025/MP) – FLUX.1 Krea [dev] prioritizes aesthetic quality through Krea’s training data, while SRPO emphasizes style refinement through reinforcement learning. Both share commercial licensing and per-megapixel pricing, with SRPO offering stronger stylistic control for brand-consistent generation. **Flux 2 Pro (

0.055/MP)** – FLUX.1 Krea [dev] delivers commercially-licensed generation at 2.2x lower cost (

0.025 vs $0.055 per megapixel). Flux 2 Pro provides next-generation prompt understanding and detail preservation for applications where maximum quality justifies the premium pricing. **Flux 2 Flex (

0.035/MP)** – FLUX.1 Krea [dev] offers 1.4x cost savings (

0.025 vs $0.035 per megapixel) while maintaining commercial licensing. Flux 2 Flex balances the quality improvements of Flux 2 architecture with more accessible pricing for high-volume generation workflows.

FLUX.1 Krea [dev] — Image Generation
FLUX.1 Krea [dev] Redux — Image Generation

Limitations

image_size restricted to: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9
num_inference_steps range: 1 to 50
guidance_scale range: 1 to 20
num_images range: 1 to 4
output_format restricted to: jpeg, png
acceleration restricted to: none, regular, high
Content moderation via safety checker
strength range: 0.01 to 1
num_inference_steps range: 10 to 50

Video Generation

Image Generation

Audio

Vision

3D

Flux Krea API

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Performance

Commercial-Ready Generation with Aesthetic Focus

Technical Specifications

How It Stacks Up

Limitations

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

​Performance

​Commercial-Ready Generation with Aesthetic Focus

​Technical Specifications

​How It Stacks Up

​Related

​Limitations

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Performance

Commercial-Ready Generation with Aesthetic Focus

Technical Specifications

How It Stacks Up

Related

Limitations