lucataco/flux-dev | Run with an API on Replicate

Input

prompt

*string

Shift + Return to add a new line

a tiny astronaut hatching from an egg on the moona tiny astronaut hatching from an egg on the moon

Prompt for generated image

aspect_ratio

string

Aspect ratio for the generated image

Default: "1:1"

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of inference steps

Default: 28

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale for the diffusion process

Default: 3.5

seed

integer

Random seed. Set for reproducible generation

Including output_format and 2 more...

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

npx create-replicate --model=lucataco/flux-dev

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";
import fs from "node:fs";

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

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

const output = await replicate.run(
  "lucataco/flux-dev:928ef162a66d974807e8d755d03e1eaabebba844b7c1ab0a16a91ad6fd077ab0",
  {
    input: {
      prompt: "a tiny astronaut hatching from an egg on the moon",
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      num_inference_steps: 28
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

output = replicate.run(
    "lucataco/flux-dev:928ef162a66d974807e8d755d03e1eaabebba844b7c1ab0a16a91ad6fd077ab0",
    input={
        "prompt": "a tiny astronaut hatching from an egg on the moon",
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "num_inference_steps": 28
    }
)
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 lucataco/flux-dev 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": "lucataco/flux-dev:928ef162a66d974807e8d755d03e1eaabebba844b7c1ab0a16a91ad6fd077ab0",
    "input": {
      "prompt": "a tiny astronaut hatching from an egg on the moon",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-12-28T21:30:11.277167Z",
  "created_at": "2024-12-28T21:30:04.862000Z",
  "data_removed": false,
  "error": null,
  "id": "jjmfcss6qsrme0cm1wptck3fk8",
  "input": {
    "prompt": "a tiny astronaut hatching from an egg on the moon",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 18227\nPrompt: a tiny astronaut hatching from an egg on the moon\ntxt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:05,  4.56it/s]\n  7%|▋         | 2/28 [00:00<00:04,  5.80it/s]\n 11%|█         | 3/28 [00:00<00:04,  5.16it/s]\n 14%|█▍        | 4/28 [00:00<00:04,  4.91it/s]\n 18%|█▊        | 5/28 [00:01<00:04,  4.73it/s]\n 21%|██▏       | 6/28 [00:01<00:04,  4.65it/s]\n 25%|██▌       | 7/28 [00:01<00:04,  4.61it/s]\n 29%|██▊       | 8/28 [00:01<00:04,  4.59it/s]\n 32%|███▏      | 9/28 [00:01<00:04,  4.58it/s]\n 36%|███▌      | 10/28 [00:02<00:03,  4.55it/s]\n 39%|███▉      | 11/28 [00:02<00:03,  4.55it/s]\n 43%|████▎     | 12/28 [00:02<00:03,  4.55it/s]\n 46%|████▋     | 13/28 [00:02<00:03,  4.55it/s]\n 50%|█████     | 14/28 [00:03<00:03,  4.53it/s]\n 54%|█████▎    | 15/28 [00:03<00:02,  4.52it/s]\n 57%|█████▋    | 16/28 [00:03<00:02,  4.53it/s]\n 61%|██████    | 17/28 [00:03<00:02,  4.54it/s]\n 64%|██████▍   | 18/28 [00:03<00:02,  4.54it/s]\n 68%|██████▊   | 19/28 [00:04<00:01,  4.53it/s]\n 71%|███████▏  | 20/28 [00:04<00:01,  4.53it/s]\n 75%|███████▌  | 21/28 [00:04<00:01,  4.52it/s]\n 79%|███████▊  | 22/28 [00:04<00:01,  4.52it/s]\n 82%|████████▏ | 23/28 [00:04<00:01,  4.52it/s]\n 86%|████████▌ | 24/28 [00:05<00:00,  4.52it/s]\n 89%|████████▉ | 25/28 [00:05<00:00,  4.52it/s]\n 93%|█████████▎| 26/28 [00:05<00:00,  4.52it/s]\n 96%|█████████▋| 27/28 [00:05<00:00,  4.53it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.52it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.59it/s]",
  "metrics": {
    "predict_time": 6.408607472,
    "total_time": 6.415167
  },
  "output": [
    "https://replicate.delivery/xezq/U8vYyyCnJ0YvIViDFxyfgMUfsHVYS5rmGVVzRJNW2fPHfHefE/out-0.webp"
  ],
  "started_at": "2024-12-28T21:30:04.868559Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-eoel4sikdmu5wjc4x476x3re755n5gkm4heklhwuzbvhyp6gturq",
    "get": "https://api.replicate.com/v1/predictions/jjmfcss6qsrme0cm1wptck3fk8",
    "cancel": "https://api.replicate.com/v1/predictions/jjmfcss6qsrme0cm1wptck3fk8/cancel"
  },
  "version": "928ef162a66d974807e8d755d03e1eaabebba844b7c1ab0a16a91ad6fd077ab0"
}

Generated in

6.4 seconds

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Examples

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Run time and cost

This model costs approximately $0.053 to run on Replicate, or 18 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 L40S GPU hardware. Predictions typically complete within 55 seconds. The predict time for this model varies significantly based on the inputs.