Flux Srpo API

Srpo
Image To Image

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

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/srpo",
    arguments={
        "prompt": "Mountain guide, sturdy build, wilderness wisdom, alert gaze, technical outdoor gear with rope coils, snow-capped peaks background, crisp mountain lighting, leading pose, wind-swept hair with full beard, weather-worn face with quiet confidence, alpine expert presence"
    },
    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/srpo", {
  input: {
      prompt: "Mountain guide, sturdy build, wilderness wisdom, alert gaze, technical outdoor gear with rope coils, snow-capped peaks background, crisp mountain lighting, leading pose, wind-swept hair with full beard, weather-worn face with quiet confidence, alpine expert presence"
    },
  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/srpo \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "prompt": "Mountain guide, sturdy build, wilderness wisdom, alert gaze, technical outdoor gear with rope coils, snow-capped peaks background, crisp mountain lighting, leading pose, wind-swept hair with full beard, weather-worn face with quiet confidence, alpine expert presence"
}'

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": "Mountain guide, sturdy build, wilderness wisdom, alert gaze, technical outdoor gear with rope coils, snow-capped peaks background, crisp mountain lighting, leading pose, wind-swept hair with full beard, weather-worn face with quiet confidence, alpine expert presence",
  "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-srpo-output.jpeg",
      "width": 1024
    }
  ],
  "prompt": ""
}

Endpoint: POST https://fal.run/fal-ai/flux/srpo/image-to-image Endpoint ID: fal-ai/flux/srpo/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/srpo/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/srpo/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/srpo/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": ""
}

FLUX.1 SRPO [dev] — 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 Srpo 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

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

​Related

​Limitations

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Related

Limitations