Prediction

Official model

black-forest-labs/flux-dev

0mvm7yvj01rm60cj8tcsgkgr98

Status

Succeeded

Source

Web

Total duration

3.0s

Created

over 1 year ago by lucataco

Webhook

–

Input

prompt: hi hi hihi hi
aspect_ratio: 1:1
prompt_strength: 0.8
num_outputs: 1
num_inference_steps: 28
guidance: 3.5
output_format: webp
output_quality: 80
go_fast: true
megapixels: 1

{
  "aspect_ratio": "1:1",
  "go_fast": true,
  "guidance": 3.5,
  "megapixels": "1",
  "num_inference_steps": 28,
  "num_outputs": 1,
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "hi hi hihi hi",
  "prompt_strength": 0.8
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_dXx**********************************

This is your API token. Keep it to yourself.

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

const input = {
  aspect_ratio: "1:1",
  go_fast: true,
  guidance: 3.5,
  megapixels: "1",
  num_inference_steps: 28,
  num_outputs: 1,
  output_format: "webp",
  output_quality: 80,
  prompt: "hi hi hihi hi",
  prompt_strength: 0.8
};

const output = await replicate.run("black-forest-labs/flux-dev", { input });

// 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=r8_dXx**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "black-forest-labs/flux-dev",
    input={
        "aspect_ratio": "1:1",
        "go_fast": True,
        "guidance": 3.5,
        "megapixels": "1",
        "num_inference_steps": 28,
        "num_outputs": 1,
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "hi hi hihi hi",
        "prompt_strength": 0.8
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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=r8_dXx**********************************

This is your API token. Keep it to yourself.

Run black-forest-labs/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 $'{
    "input": {
      "aspect_ratio": "1:1",
      "go_fast": true,
      "guidance": 3.5,
      "megapixels": "1",
      "num_inference_steps": 28,
      "num_outputs": 1,
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "hi hi hihi hi",
      "prompt_strength": 0.8
    }
  }' \
  https://api.replicate.com/v1/models/black-forest-labs/flux-dev/predictions

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

Output

{
  "id": "0mvm7yvj01rm60cj8tcsgkgr98",
  "model": "black-forest-labs/flux-dev",
  "version": "hidden",
  "input": {
    "aspect_ratio": "1:1",
    "go_fast": true,
    "guidance": 3.5,
    "megapixels": "1",
    "num_inference_steps": 28,
    "num_outputs": 1,
    "output_format": "webp",
    "output_quality": 80,
    "prompt": "hi hi hihi hi",
    "prompt_strength": 0.8
  },
  "logs": "Using seed: 41994\nrunning quantized prediction\nUsing seed: 41994\n  0%|          | 0/28 [00:00<?, ?it/s]\n  7%|▋         | 2/28 [00:00<00:01, 17.68it/s]\n 14%|█▍        | 4/28 [00:00<00:01, 12.60it/s]\n 21%|██▏       | 6/28 [00:00<00:01, 11.59it/s]\n 29%|██▊       | 8/28 [00:00<00:01, 11.15it/s]\n 36%|███▌      | 10/28 [00:00<00:01, 10.83it/s]\n 43%|████▎     | 12/28 [00:01<00:01, 10.57it/s]\n 50%|█████     | 14/28 [00:01<00:01, 10.51it/s]\n 57%|█████▋    | 16/28 [00:01<00:01, 10.52it/s]\n 64%|██████▍   | 18/28 [00:01<00:00, 10.52it/s]\n 71%|███████▏  | 20/28 [00:01<00:00, 10.47it/s]\n 79%|███████▊  | 22/28 [00:02<00:00, 10.41it/s]\n 86%|████████▌ | 24/28 [00:02<00:00, 10.40it/s]\n 93%|█████████▎| 26/28 [00:02<00:00, 10.43it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.45it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.73it/s]\nTotal safe images: 1 out of 1",
  "output": [
    "https://replicate.delivery/yhqm/Abx8gc8IkP6nPhOtbAyyd1vDL2ZT6oNS0QGk7G3BcNVp9k4E/out-0.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-10-01T05:41:54.304Z",
  "started_at": "2024-10-01T05:41:54.312678Z",
  "completed_at": "2024-10-01T05:41:57.259703Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/0mvm7yvj01rm60cj8tcsgkgr98/cancel",
    "get": "https://api.replicate.com/v1/predictions/0mvm7yvj01rm60cj8tcsgkgr98",
    "web": "https://replicate.com/p/0mvm7yvj01rm60cj8tcsgkgr98"
  },
  "metrics": {
    "image_count": 1,
    "predict_time": 2.947025098,
    "total_time": 2.955703
  }
}

Generated in

3.0 seconds

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