prunaai/flux-schneller – Run with an API on Replicate

prunaai / flux-schneller

This is an optimised version of the flux schnell model from black forest labs with the pruna tool. We achieve a ~3x speedup over the original model with minimal quality loss.

Cold

Public
7.5K runs
A100 (80GB)
Weights

Run with an API

Playground API Examples README Versions

Input

prompt

*string

Shift + Return to add a new line

Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word "FLUX" is painted over it in big, white brush strokes with visible texture.Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word "FLUX" is painted over it in big, white brush strokes with visible texture.

Prompt

speed_mode

string

Speed optimization level

Default: "Juiced 🔥 (default)"

num_inference_steps

integer

Number of inference steps

Default: 4

guidance_scale

number

Guidance scale

Default: 7.5

seed

integer

Seed

Default: -1

image_height

integer

Image height

Default: 1024

image_width

integer

Image width

Default: 1024

output_format

string

Output format

Default: "png"

output_quality

integer

(minimum: 1, maximum: 100)

Output quality (for jpg and webp)

Default: 80

Run this model in Node.js with one line of code:

npx create-replicate --model=prunaai/flux-schneller

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run prunaai/flux-schneller using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/flux-schneller:12d80fbf1722a906ef7b16730be2e1d9e9bad52e05f84e37567fbd900295463e",
  {
    input: {
      seed: -1,
      prompt: "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture.",
      speed_mode: "Extra Juiced 💥 (more speed)",
      image_width: 1024,
      image_height: 1024,
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      num_inference_steps: 4
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run prunaai/flux-schneller using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/flux-schneller:12d80fbf1722a906ef7b16730be2e1d9e9bad52e05f84e37567fbd900295463e",
    input={
        "seed": -1,
        "prompt": "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture.",
        "speed_mode": "Extra Juiced 💥 (more speed)",
        "image_width": 1024,
        "image_height": 1024,
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 4
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run prunaai/flux-schneller using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "prunaai/flux-schneller:12d80fbf1722a906ef7b16730be2e1d9e9bad52e05f84e37567fbd900295463e",
    "input": {
      "seed": -1,
      "prompt": "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \\"FLUX\\" is painted over it in big, white brush strokes with visible texture.",
      "speed_mode": "Extra Juiced 💥 (more speed)",
      "image_width": 1024,
      "image_height": 1024,
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Generated in

1.0 second

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This output was created using a different version of the model, prunaai/flux-schneller:c8b496a3.

Examples

View more examples

Run time and cost

This model costs approximately $0.0018 to run on Replicate, or 555 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 2 seconds.