bxclib2/flux_img2img:0ce45202 – Run with an API on Replicate

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bxclib2 /flux_img2img:0ce45202

Playground API

Input

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

npx create-replicate --model=bxclib2/flux_img2img

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 bxclib2/flux_img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "bxclib2/flux_img2img:0ce45202d83c6bd379dfe58f4c0c41e6cadf93ebbd9d938cc63cc0f2fcb729a5",
  {
    input: {
      seed: 0,
      image: "https://replicate.delivery/pbxt/LNejsmEhVDfW7iRdapoqzUhIyctYDkubGPAJKSruGY3XokjO/1.png",
      steps: 20,
      denoising: 0.75,
      scheduler: "simple",
      sampler_name: "euler",
      positive_prompt: "anime style"
    }
  }
);

// 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 bxclib2/flux_img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bxclib2/flux_img2img:0ce45202d83c6bd379dfe58f4c0c41e6cadf93ebbd9d938cc63cc0f2fcb729a5",
    input={
        "seed": 0,
        "image": "https://replicate.delivery/pbxt/LNejsmEhVDfW7iRdapoqzUhIyctYDkubGPAJKSruGY3XokjO/1.png",
        "steps": 20,
        "denoising": 0.75,
        "scheduler": "simple",
        "sampler_name": "euler",
        "positive_prompt": "anime style"
    }
)
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 bxclib2/flux_img2img 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": "bxclib2/flux_img2img:0ce45202d83c6bd379dfe58f4c0c41e6cadf93ebbd9d938cc63cc0f2fcb729a5",
    "input": {
      "seed": 0,
      "image": "https://replicate.delivery/pbxt/LNejsmEhVDfW7iRdapoqzUhIyctYDkubGPAJKSruGY3XokjO/1.png",
      "steps": 20,
      "denoising": 0.75,
      "scheduler": "simple",
      "sampler_name": "euler",
      "positive_prompt": "anime style"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-08-11T17:03:04.276728Z",
  "created_at": "2024-08-11T17:01:17.213000Z",
  "data_removed": false,
  "error": null,
  "id": "ctkpdnrw3nrgp0ch89hvjbs92r",
  "input": {
    "seed": 0,
    "image": "https://replicate.delivery/pbxt/LNejsmEhVDfW7iRdapoqzUhIyctYDkubGPAJKSruGY3XokjO/1.png",
    "steps": 20,
    "denoising": 0.75,
    "scheduler": "simple",
    "sampler_name": "euler",
    "positive_prompt": "anime style"
  },
  "logs": "13651017568519226869\nRequested to load FluxClipModel_\nLoading 1 new model\nRequested to load AutoencodingEngine\nLoading 1 new model\nRequested to load Flux\nLoading 1 new model\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:12,  1.51it/s]\n 10%|█         | 2/20 [00:01<00:14,  1.21it/s]\n 15%|█▌        | 3/20 [00:02<00:14,  1.14it/s]\n 20%|██        | 4/20 [00:03<00:14,  1.11it/s]\n 25%|██▌       | 5/20 [00:04<00:13,  1.10it/s]\n 30%|███       | 6/20 [00:05<00:12,  1.09it/s]\n 35%|███▌      | 7/20 [00:06<00:12,  1.08it/s]\n 40%|████      | 8/20 [00:07<00:11,  1.08it/s]\n 45%|████▌     | 9/20 [00:08<00:10,  1.07it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.07it/s]\n 55%|█████▌    | 11/20 [00:10<00:08,  1.07it/s]\n 60%|██████    | 12/20 [00:10<00:07,  1.07it/s]\n 65%|██████▌   | 13/20 [00:11<00:06,  1.07it/s]\n 70%|███████   | 14/20 [00:12<00:05,  1.07it/s]\n 75%|███████▌  | 15/20 [00:13<00:04,  1.07it/s]\n 80%|████████  | 16/20 [00:14<00:03,  1.07it/s]\n 85%|████████▌ | 17/20 [00:15<00:02,  1.07it/s]\n 90%|█████████ | 18/20 [00:16<00:01,  1.07it/s]\n 95%|█████████▌| 19/20 [00:17<00:00,  1.07it/s]\n100%|██████████| 20/20 [00:18<00:00,  1.07it/s]\n100%|██████████| 20/20 [00:18<00:00,  1.08it/s]",
  "metrics": {
    "predict_time": 23.234329978,
    "total_time": 107.063728
  },
  "output": "https://replicate.delivery/pbxt/fdPekq6sFeKdkobDZaIgdey8OZD43nYBYPw5npcG78ScMoGNB/out.png",
  "started_at": "2024-08-11T17:02:41.042398Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ctkpdnrw3nrgp0ch89hvjbs92r",
    "cancel": "https://api.replicate.com/v1/predictions/ctkpdnrw3nrgp0ch89hvjbs92r/cancel"
  },
  "version": "0ce45202d83c6bd379dfe58f4c0c41e6cadf93ebbd9d938cc63cc0f2fcb729a5"
}

Generated in

23.2 seconds

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