zsxkib/flux-dev-inpainting:11cca327 | Run with an API on Replicate

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zsxkib /flux-dev-inpainting:11cca327

Playground API Setup logs

Input

image

*file

Preview

Input image for inpainting

mask

*file

Preview

Mask image

prompt

*string

Shift + Return to add a new line

Text prompt for inpainting

strength

number

(minimum: 0, maximum: 1)

Strength of inpainting

Default: 0.85

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of inference steps

Default: 30

seed

integer

Random seed. Leave blank to randomize the seed

output_format

string

Format of the output image

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality of the output image, from 0 to 100. 100 is best quality, 0 is lowest quality.

Default: 80

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

npx create-replicate --model=zsxkib/flux-dev-inpainting

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

const output = await replicate.run(
  "zsxkib/flux-dev-inpainting:11cca3274341de7aef06f04e4dab3d651ea8ac04eff003f23603d4fdf5b56ff0",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/HtGQBqO9MtVbPm0G0K43nsvvjBB0E0PaWOhuNRrRBBT4ttbf/mask.png",
      image: "https://replicate.delivery/pbxt/HtGQBfA5TrqFYZBf0UL18NTqHrzt8UiSIsAkUuMHtjvFDO6p/overture-creations-5sI6fQgYIuo.png",
      prompt: "small cute cat sat on a park bench",
      strength: 0.85,
      output_format: "webp",
      output_quality: 90,
      num_inference_steps: 30
    }
  }
);

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

output = replicate.run(
    "zsxkib/flux-dev-inpainting:11cca3274341de7aef06f04e4dab3d651ea8ac04eff003f23603d4fdf5b56ff0",
    input={
        "mask": "https://replicate.delivery/pbxt/HtGQBqO9MtVbPm0G0K43nsvvjBB0E0PaWOhuNRrRBBT4ttbf/mask.png",
        "image": "https://replicate.delivery/pbxt/HtGQBfA5TrqFYZBf0UL18NTqHrzt8UiSIsAkUuMHtjvFDO6p/overture-creations-5sI6fQgYIuo.png",
        "prompt": "small cute cat sat on a park bench",
        "strength": 0.85,
        "output_format": "webp",
        "output_quality": 90,
        "num_inference_steps": 30
    }
)
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 zsxkib/flux-dev-inpainting 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": "zsxkib/flux-dev-inpainting:11cca3274341de7aef06f04e4dab3d651ea8ac04eff003f23603d4fdf5b56ff0",
    "input": {
      "mask": "https://replicate.delivery/pbxt/HtGQBqO9MtVbPm0G0K43nsvvjBB0E0PaWOhuNRrRBBT4ttbf/mask.png",
      "image": "https://replicate.delivery/pbxt/HtGQBfA5TrqFYZBf0UL18NTqHrzt8UiSIsAkUuMHtjvFDO6p/overture-creations-5sI6fQgYIuo.png",
      "prompt": "small cute cat sat on a park bench",
      "strength": 0.85,
      "output_format": "webp",
      "output_quality": 90,
      "num_inference_steps": 30
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-08-16T13:14:26.767358Z",
  "created_at": "2024-08-16T13:14:12.290000Z",
  "data_removed": false,
  "error": null,
  "id": "yy76h201r9rj20chbd9rqa4x2m",
  "input": {
    "mask": "https://replicate.delivery/pbxt/HtGQBqO9MtVbPm0G0K43nsvvjBB0E0PaWOhuNRrRBBT4ttbf/mask.png",
    "image": "https://replicate.delivery/pbxt/HtGQBfA5TrqFYZBf0UL18NTqHrzt8UiSIsAkUuMHtjvFDO6p/overture-creations-5sI6fQgYIuo.png",
    "prompt": "small cute cat sat on a park bench",
    "strength": 0.85,
    "output_format": "webp",
    "output_quality": 90,
    "num_inference_steps": 30
  },
  "logs": "Using seed: 235060614\n  0%|          | 0/29 [00:00<?, ?it/s]\n  3%|▎         | 1/29 [00:00<00:15,  1.79it/s]\n  7%|▋         | 2/29 [00:01<00:13,  1.99it/s]\n 10%|█         | 3/29 [00:01<00:12,  2.06it/s]\n 14%|█▍        | 4/29 [00:01<00:11,  2.11it/s]\n 17%|█▋        | 5/29 [00:02<00:11,  2.12it/s]\n 21%|██        | 6/29 [00:02<00:10,  2.14it/s]\n 24%|██▍       | 7/29 [00:03<00:10,  2.15it/s]\n 28%|██▊       | 8/29 [00:03<00:09,  2.15it/s]\n 31%|███       | 9/29 [00:04<00:09,  2.15it/s]\n 34%|███▍      | 10/29 [00:04<00:08,  2.16it/s]\n 38%|███▊      | 11/29 [00:05<00:08,  2.16it/s]\n 41%|████▏     | 12/29 [00:05<00:07,  2.16it/s]\n 45%|████▍     | 13/29 [00:06<00:07,  2.16it/s]\n 48%|████▊     | 14/29 [00:06<00:06,  2.16it/s]\n 52%|█████▏    | 15/29 [00:07<00:06,  2.16it/s]\n 55%|█████▌    | 16/29 [00:07<00:06,  2.16it/s]\n 59%|█████▊    | 17/29 [00:07<00:05,  2.16it/s]\n 62%|██████▏   | 18/29 [00:08<00:05,  2.16it/s]\n 66%|██████▌   | 19/29 [00:08<00:04,  2.16it/s]\n 69%|██████▉   | 20/29 [00:09<00:04,  2.16it/s]\n 72%|███████▏  | 21/29 [00:09<00:03,  2.16it/s]\n 76%|███████▌  | 22/29 [00:10<00:03,  2.16it/s]\n 79%|███████▉  | 23/29 [00:10<00:02,  2.16it/s]\n 83%|████████▎ | 24/29 [00:11<00:02,  2.16it/s]\n 86%|████████▌ | 25/29 [00:11<00:01,  2.16it/s]\n 90%|████████▉ | 26/29 [00:12<00:01,  2.16it/s]\n 93%|█████████▎| 27/29 [00:12<00:00,  2.16it/s]\n 97%|█████████▋| 28/29 [00:13<00:00,  2.16it/s]\n100%|██████████| 29/29 [00:13<00:00,  2.46it/s]\n100%|██████████| 29/29 [00:13<00:00,  2.17it/s]\nINFERENCE DONE\n[~] Saving to /tmp/output.webp...\n[~] Output format: WEBP\n[~] Output quality: 90",
  "metrics": {
    "predict_time": 14.467368014,
    "total_time": 14.477358
  },
  "output": "https://replicate.delivery/yhqm/XgiTCp4dlDa1MpMXCmiemWdFzCrfqz5MUWKL9BnWf1eKrANNB/output.webp",
  "started_at": "2024-08-16T13:14:12.299990Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/yy76h201r9rj20chbd9rqa4x2m",
    "cancel": "https://api.replicate.com/v1/predictions/yy76h201r9rj20chbd9rqa4x2m/cancel"
  },
  "version": "11cca3274341de7aef06f04e4dab3d651ea8ac04eff003f23603d4fdf5b56ff0"
}

Generated in

14.5 seconds

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