daanelson / flux-fill-dev-big

{
  "mask": "https://replicate.delivery/pbxt/JF3Ld3yPLVA3JIELHx1uaAV5CQOyr4AoiOfo6mJZn2fofGaT/dog-mask.png",
  "image": "https://replicate.delivery/pbxt/JF3LddQgRiMM9Q4Smyfw7q7BR9Gn0PwkSWvJjKDPxyvr8Ru0/cool-dog.png",
  "prompt": "a tiger sitting on a bench",
  "guidance": 30,
  "megapixels": "match_input",
  "num_outputs": 1,
  "output_format": "webp",
  "output_quality": 80,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

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

const output = await replicate.run(
  "daanelson/flux-fill-dev-big:651641736426ea3a8df6ee232b9959c5e9eb1fb910d50240cd1b320e4dcb5612",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JF3Ld3yPLVA3JIELHx1uaAV5CQOyr4AoiOfo6mJZn2fofGaT/dog-mask.png",
      image: "https://replicate.delivery/pbxt/JF3LddQgRiMM9Q4Smyfw7q7BR9Gn0PwkSWvJjKDPxyvr8Ru0/cool-dog.png",
      prompt: "a tiger sitting on a bench",
      guidance: 30,
      megapixels: "match_input",
      num_outputs: 1,
      output_format: "webp",
      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

Import the client:

import replicate

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

output = replicate.run(
    "daanelson/flux-fill-dev-big:651641736426ea3a8df6ee232b9959c5e9eb1fb910d50240cd1b320e4dcb5612",
    input={
        "mask": "https://replicate.delivery/pbxt/JF3Ld3yPLVA3JIELHx1uaAV5CQOyr4AoiOfo6mJZn2fofGaT/dog-mask.png",
        "image": "https://replicate.delivery/pbxt/JF3LddQgRiMM9Q4Smyfw7q7BR9Gn0PwkSWvJjKDPxyvr8Ru0/cool-dog.png",
        "prompt": "a tiger sitting on a bench",
        "guidance": 30,
        "megapixels": "match_input",
        "num_outputs": 1,
        "output_format": "webp",
        "output_quality": 80,
        "num_inference_steps": 28
    }
)

# 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.

Run daanelson/flux-fill-dev-big 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": "daanelson/flux-fill-dev-big:651641736426ea3a8df6ee232b9959c5e9eb1fb910d50240cd1b320e4dcb5612",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JF3Ld3yPLVA3JIELHx1uaAV5CQOyr4AoiOfo6mJZn2fofGaT/dog-mask.png",
      "image": "https://replicate.delivery/pbxt/JF3LddQgRiMM9Q4Smyfw7q7BR9Gn0PwkSWvJjKDPxyvr8Ru0/cool-dog.png",
      "prompt": "a tiger sitting on a bench",
      "guidance": 30,
      "megapixels": "match_input",
      "num_outputs": 1,
      "output_format": "webp",
      "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": "2024-12-20T22:19:30.137507Z",
  "created_at": "2024-12-20T22:17:00.890000Z",
  "data_removed": false,
  "error": null,
  "id": "qgp98fsyv9rj40ckwrjvtrrqyw",
  "input": {
    "mask": "https://replicate.delivery/pbxt/JF3Ld3yPLVA3JIELHx1uaAV5CQOyr4AoiOfo6mJZn2fofGaT/dog-mask.png",
    "image": "https://replicate.delivery/pbxt/JF3LddQgRiMM9Q4Smyfw7q7BR9Gn0PwkSWvJjKDPxyvr8Ru0/cool-dog.png",
    "prompt": "a tiger sitting on a bench",
    "guidance": 30,
    "megapixels": "match_input",
    "num_outputs": 1,
    "output_format": "webp",
    "output_quality": 80,
    "num_inference_steps": 28
  },
  "logs": "running bf16 model, fp8 disabled\nUsing seed: 8221\n0it [00:00, ?it/s]\n1it [00:00,  7.78it/s]\n2it [00:00,  7.06it/s]\n3it [00:00,  6.86it/s]\n4it [00:00,  6.77it/s]\n5it [00:00,  6.74it/s]\n6it [00:00,  6.71it/s]\n7it [00:01,  6.69it/s]\n8it [00:01,  6.68it/s]\n9it [00:01,  6.68it/s]\n10it [00:01,  6.67it/s]\n11it [00:01,  6.66it/s]\n12it [00:01,  6.67it/s]\n13it [00:01,  6.67it/s]\n14it [00:02,  6.67it/s]\n15it [00:02,  6.67it/s]\n16it [00:02,  6.66it/s]\n17it [00:02,  6.66it/s]\n18it [00:02,  6.66it/s]\n19it [00:02,  6.65it/s]\n20it [00:02,  6.66it/s]\n21it [00:03,  6.62it/s]\n22it [00:03,  6.67it/s]\n23it [00:03,  6.67it/s]\n24it [00:03,  6.67it/s]\n25it [00:03,  6.66it/s]\n26it [00:03,  6.67it/s]\n27it [00:04,  6.67it/s]\n28it [00:04,  6.67it/s]\n28it [00:04,  6.69it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 10.033133685,
    "total_time": 149.247507
  },
  "output": [
    "https://replicate.delivery/yhqm/a7MwKRhzhVK0M15hDpuRBJbWFtXPdELdQ94l209JX2ucfceTA/out-0.webp"
  ],
  "started_at": "2024-12-20T22:19:20.104373Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/qoxq-qtciiyqya3h7nmpqv3qm6emum5wjzuosyh6crvqla4hs56zgxkxa",
    "get": "https://api.replicate.com/v1/predictions/qgp98fsyv9rj40ckwrjvtrrqyw",
    "cancel": "https://api.replicate.com/v1/predictions/qgp98fsyv9rj40ckwrjvtrrqyw/cancel"
  },
  "version": "651641736426ea3a8df6ee232b9959c5e9eb1fb910d50240cd1b320e4dcb5612"
}

Generated in

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