Prediction

ID

0wa1may289rmc0cn7shr66dkfm

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

25.6s

Created

about 2 months ago by @lucataco

Input

logo_image
logo_description: a black background with a fish in magenta and cyan, title "BLINK" in a bold font
destination_prompt: An embroidered hat

{
  "logo_image": "https://replicate.delivery/pbxt/MYuHkOKRkJrDg5tkCEqet039csQUIcd0ppzxxdekcNMuLPLE/blink_fish.png",
  "logo_description": "a black background with a fish in magenta and cyan, title \"BLINK\" in a bold font",
  "destination_prompt": "An embroidered hat"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
  {
    input: {
      logo_image: "https://replicate.delivery/pbxt/MYuHkOKRkJrDg5tkCEqet039csQUIcd0ppzxxdekcNMuLPLE/blink_fish.png",
      logo_description: "a black background with a fish in magenta and cyan, title \"BLINK\" in a bold font",
      destination_prompt: "An embroidered hat"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    input={
        "logo_image": "https://replicate.delivery/pbxt/MYuHkOKRkJrDg5tkCEqet039csQUIcd0ppzxxdekcNMuLPLE/blink_fish.png",
        "logo_description": "a black background with a fish in magenta and cyan, title \"BLINK\" in a bold font",
        "destination_prompt": "An embroidered hat"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/flux-in-context 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": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    "input": {
      "logo_image": "https://replicate.delivery/pbxt/MYuHkOKRkJrDg5tkCEqet039csQUIcd0ppzxxdekcNMuLPLE/blink_fish.png",
      "logo_description": "a black background with a fish in magenta and cyan, title \\"BLINK\\" in a bold font",
      "destination_prompt": "An embroidered hat"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-25T18:35:05.715561Z",
  "created_at": "2025-02-25T18:34:40.066000Z",
  "data_removed": false,
  "error": null,
  "id": "0wa1may289rmc0cn7shr66dkfm",
  "input": {
    "logo_image": "https://replicate.delivery/pbxt/MYuHkOKRkJrDg5tkCEqet039csQUIcd0ppzxxdekcNMuLPLE/blink_fish.png",
    "logo_description": "a black background with a fish in magenta and cyan, title \"BLINK\" in a bold font",
    "destination_prompt": "An embroidered hat"
  },
  "logs": "0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:27,  1.01s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.07it/s]\n 11%|█         | 3/28 [00:02<00:22,  1.10it/s]\n 14%|█▍        | 4/28 [00:03<00:21,  1.11it/s]\n 18%|█▊        | 5/28 [00:04<00:20,  1.12it/s]\n 21%|██▏       | 6/28 [00:05<00:19,  1.12it/s]\n 25%|██▌       | 7/28 [00:06<00:18,  1.12it/s]\n 29%|██▊       | 8/28 [00:07<00:17,  1.12it/s]\n 32%|███▏      | 9/28 [00:08<00:16,  1.13it/s]\n 36%|███▌      | 10/28 [00:08<00:15,  1.13it/s]\n 39%|███▉      | 11/28 [00:09<00:15,  1.13it/s]\n 43%|████▎     | 12/28 [00:10<00:14,  1.13it/s]\n 46%|████▋     | 13/28 [00:11<00:13,  1.13it/s]\n 50%|█████     | 14/28 [00:12<00:12,  1.13it/s]\n 54%|█████▎    | 15/28 [00:13<00:11,  1.13it/s]\n 57%|█████▋    | 16/28 [00:14<00:10,  1.13it/s]\n 61%|██████    | 17/28 [00:15<00:09,  1.12it/s]\n 64%|██████▍   | 18/28 [00:16<00:08,  1.12it/s]\n 68%|██████▊   | 19/28 [00:16<00:08,  1.12it/s]\n 71%|███████▏  | 20/28 [00:17<00:07,  1.12it/s]\n 75%|███████▌  | 21/28 [00:18<00:06,  1.12it/s]\n 79%|███████▊  | 22/28 [00:19<00:05,  1.12it/s]\n 82%|████████▏ | 23/28 [00:20<00:04,  1.12it/s]\n 86%|████████▌ | 24/28 [00:21<00:03,  1.12it/s]\n 89%|████████▉ | 25/28 [00:22<00:02,  1.12it/s]\n 93%|█████████▎| 26/28 [00:23<00:01,  1.12it/s]\n 96%|█████████▋| 27/28 [00:24<00:00,  1.12it/s]\n100%|██████████| 28/28 [00:24<00:00,  1.19it/s]\n100%|██████████| 28/28 [00:24<00:00,  1.13it/s]",
  "metrics": {
    "predict_time": 25.641393557,
    "total_time": 25.649561
  },
  "output": "https://replicate.delivery/xezq/rFEdj0jjMgowHxppjvYfSj67Oppg7eMuXRxJBz2Ipa1Z97SUA/output.png",
  "started_at": "2025-02-25T18:34:40.074167Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-lceudrrpmji6t2runcftb3hifdnmtsag56f37dshvirszsk5eygq",
    "get": "https://api.replicate.com/v1/predictions/0wa1may289rmc0cn7shr66dkfm",
    "cancel": "https://api.replicate.com/v1/predictions/0wa1may289rmc0cn7shr66dkfm/cancel"
  },
  "version": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307"
}

Generated in

25.6 seconds

lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307

Prediction

Model

ID

c2fgq5qj99rmc0cn7skage9ygg

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

25.9s

Created

about 2 months ago

Input

logo_image
logo_description: a stylized, fish in magenta and cyan, with text “BLINK” in an bold font, with bubble details underneath, on a black background
destination_prompt: a black tshirt

{
  "logo_image": "https://replicate.delivery/pbxt/MYuL32PjNjHTxEIBH952aMpwZu8ngKZbKZl2o15IQ0GbXKiM/blink_fish.png",
  "logo_description": "a stylized, fish in magenta and cyan, with text “BLINK” in an bold font, with bubble details underneath, on a black background",
  "destination_prompt": "a black tshirt"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
  {
    input: {
      logo_image: "https://replicate.delivery/pbxt/MYuL32PjNjHTxEIBH952aMpwZu8ngKZbKZl2o15IQ0GbXKiM/blink_fish.png",
      logo_description: "a stylized, fish in magenta and cyan, with text “BLINK” in an bold font, with bubble details underneath, on a black background",
      destination_prompt: "a black tshirt"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    input={
        "logo_image": "https://replicate.delivery/pbxt/MYuL32PjNjHTxEIBH952aMpwZu8ngKZbKZl2o15IQ0GbXKiM/blink_fish.png",
        "logo_description": "a stylized, fish in magenta and cyan, with text “BLINK” in an bold font, with bubble details underneath, on a black background",
        "destination_prompt": "a black tshirt"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/flux-in-context 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": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    "input": {
      "logo_image": "https://replicate.delivery/pbxt/MYuL32PjNjHTxEIBH952aMpwZu8ngKZbKZl2o15IQ0GbXKiM/blink_fish.png",
      "logo_description": "a stylized, fish in magenta and cyan, with text “BLINK” in an bold font, with bubble details underneath, on a black background",
      "destination_prompt": "a black tshirt"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-25T18:38:34.861947Z",
  "created_at": "2025-02-25T18:38:08.970000Z",
  "data_removed": false,
  "error": null,
  "id": "c2fgq5qj99rmc0cn7skage9ygg",
  "input": {
    "logo_image": "https://replicate.delivery/pbxt/MYuL32PjNjHTxEIBH952aMpwZu8ngKZbKZl2o15IQ0GbXKiM/blink_fish.png",
    "logo_description": "a stylized, fish in magenta and cyan, with text “BLINK” in an bold font, with bubble details underneath, on a black background",
    "destination_prompt": "a black tshirt"
  },
  "logs": "0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:27,  1.02s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.05it/s]\n 11%|█         | 3/28 [00:02<00:23,  1.08it/s]\n 14%|█▍        | 4/28 [00:03<00:21,  1.09it/s]\n 18%|█▊        | 5/28 [00:04<00:20,  1.10it/s]\n 21%|██▏       | 6/28 [00:05<00:19,  1.11it/s]\n 25%|██▌       | 7/28 [00:06<00:18,  1.11it/s]\n 29%|██▊       | 8/28 [00:07<00:18,  1.11it/s]\n 32%|███▏      | 9/28 [00:08<00:17,  1.11it/s]\n 36%|███▌      | 10/28 [00:09<00:16,  1.11it/s]\n 39%|███▉      | 11/28 [00:09<00:15,  1.11it/s]\n 43%|████▎     | 12/28 [00:10<00:14,  1.11it/s]\n 46%|████▋     | 13/28 [00:11<00:13,  1.11it/s]\n 50%|█████     | 14/28 [00:12<00:12,  1.11it/s]\n 54%|█████▎    | 15/28 [00:13<00:11,  1.11it/s]\n 57%|█████▋    | 16/28 [00:14<00:10,  1.11it/s]\n 61%|██████    | 17/28 [00:15<00:09,  1.11it/s]\n 64%|██████▍   | 18/28 [00:16<00:08,  1.11it/s]\n 68%|██████▊   | 19/28 [00:17<00:08,  1.11it/s]\n 71%|███████▏  | 20/28 [00:18<00:07,  1.11it/s]\n 75%|███████▌  | 21/28 [00:18<00:06,  1.11it/s]\n 79%|███████▊  | 22/28 [00:19<00:05,  1.11it/s]\n 82%|████████▏ | 23/28 [00:20<00:04,  1.11it/s]\n 86%|████████▌ | 24/28 [00:21<00:03,  1.11it/s]\n 89%|████████▉ | 25/28 [00:22<00:02,  1.11it/s]\n 93%|█████████▎| 26/28 [00:23<00:01,  1.11it/s]\n 96%|█████████▋| 27/28 [00:24<00:00,  1.11it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.18it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.12it/s]",
  "metrics": {
    "predict_time": 25.883043114,
    "total_time": 25.891947
  },
  "output": "https://replicate.delivery/xezq/E2v6kq2qw4qLP5OB3kMBzUHUuToVWGo26dPvywPCHfQVAeSUA/output.png",
  "started_at": "2025-02-25T18:38:08.978904Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-qtjubmjixnqupfrp3b3ms3ru74siznaa256wmqv4dm7tevv5nyta",
    "get": "https://api.replicate.com/v1/predictions/c2fgq5qj99rmc0cn7skage9ygg",
    "cancel": "https://api.replicate.com/v1/predictions/c2fgq5qj99rmc0cn7skage9ygg/cancel"
  },
  "version": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307"
}

Generated in

25.9 seconds

lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307

Prediction

Model

ID

msxxscfrexrma0cn7sp8z9kjbg

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

26.0s

Created

about 2 months ago by @lucataco

Input

logo_image
logo_description: a white logo on a black background
destination_prompt: a rainbow tie dye hat

{
  "logo_image": "https://replicate.delivery/pbxt/MYuQmsrqokVA0X0YdjRvHNQzyKnWOlpsyRX0r8ThmtqFXhaw/replicate.png",
  "logo_description": "a white logo on a black background",
  "destination_prompt": "a rainbow tie dye hat"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
  {
    input: {
      logo_image: "https://replicate.delivery/pbxt/MYuQmsrqokVA0X0YdjRvHNQzyKnWOlpsyRX0r8ThmtqFXhaw/replicate.png",
      logo_description: "a white logo on a black background",
      destination_prompt: "a rainbow tie dye hat"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    input={
        "logo_image": "https://replicate.delivery/pbxt/MYuQmsrqokVA0X0YdjRvHNQzyKnWOlpsyRX0r8ThmtqFXhaw/replicate.png",
        "logo_description": "a white logo on a black background",
        "destination_prompt": "a rainbow tie dye hat"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/flux-in-context 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": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    "input": {
      "logo_image": "https://replicate.delivery/pbxt/MYuQmsrqokVA0X0YdjRvHNQzyKnWOlpsyRX0r8ThmtqFXhaw/replicate.png",
      "logo_description": "a white logo on a black background",
      "destination_prompt": "a rainbow tie dye hat"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-25T18:45:09.761793Z",
  "created_at": "2025-02-25T18:44:43.767000Z",
  "data_removed": false,
  "error": null,
  "id": "msxxscfrexrma0cn7sp8z9kjbg",
  "input": {
    "logo_image": "https://replicate.delivery/pbxt/MYuQmsrqokVA0X0YdjRvHNQzyKnWOlpsyRX0r8ThmtqFXhaw/replicate.png",
    "logo_description": "a white logo on a black background",
    "destination_prompt": "a rainbow tie dye hat"
  },
  "logs": "0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:27,  1.03s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.05it/s]\n 11%|█         | 3/28 [00:02<00:23,  1.08it/s]\n 14%|█▍        | 4/28 [00:03<00:22,  1.09it/s]\n 18%|█▊        | 5/28 [00:04<00:20,  1.10it/s]\n 21%|██▏       | 6/28 [00:05<00:19,  1.10it/s]\n 25%|██▌       | 7/28 [00:06<00:19,  1.10it/s]\n 29%|██▊       | 8/28 [00:07<00:18,  1.11it/s]\n 32%|███▏      | 9/28 [00:08<00:17,  1.11it/s]\n 36%|███▌      | 10/28 [00:09<00:16,  1.11it/s]\n 39%|███▉      | 11/28 [00:10<00:15,  1.11it/s]\n 43%|████▎     | 12/28 [00:10<00:14,  1.11it/s]\n 46%|████▋     | 13/28 [00:11<00:13,  1.11it/s]\n 50%|█████     | 14/28 [00:12<00:12,  1.11it/s]\n 54%|█████▎    | 15/28 [00:13<00:11,  1.11it/s]\n 57%|█████▋    | 16/28 [00:14<00:10,  1.11it/s]\n 61%|██████    | 17/28 [00:15<00:09,  1.11it/s]\n 64%|██████▍   | 18/28 [00:16<00:08,  1.11it/s]\n 68%|██████▊   | 19/28 [00:17<00:08,  1.11it/s]\n 71%|███████▏  | 20/28 [00:18<00:07,  1.11it/s]\n 75%|███████▌  | 21/28 [00:19<00:06,  1.11it/s]\n 79%|███████▊  | 22/28 [00:19<00:05,  1.11it/s]\n 82%|████████▏ | 23/28 [00:20<00:04,  1.11it/s]\n 86%|████████▌ | 24/28 [00:21<00:03,  1.11it/s]\n 89%|████████▉ | 25/28 [00:22<00:02,  1.11it/s]\n 93%|█████████▎| 26/28 [00:23<00:01,  1.11it/s]\n 96%|█████████▋| 27/28 [00:24<00:00,  1.11it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.18it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.11it/s]",
  "metrics": {
    "predict_time": 25.985755714,
    "total_time": 25.994793
  },
  "output": "https://replicate.delivery/xezq/uQNpj7j7IFpVKFfGeskygfUvC6tvaN4bmmfcYWubMk4WbwLRB/output.png",
  "started_at": "2025-02-25T18:44:43.776037Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-zvfey6fj6rtvyoqv66w7mzjdu7hzjyxfjulceziu3now35guavlq",
    "get": "https://api.replicate.com/v1/predictions/msxxscfrexrma0cn7sp8z9kjbg",
    "cancel": "https://api.replicate.com/v1/predictions/msxxscfrexrma0cn7sp8z9kjbg/cancel"
  },
  "version": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307"
}

Generated in

26.0 seconds

lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307

Prediction

Model

ID

mtzjhb5rmnrm80cn82xacc1frc

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

26.2s

Created

about 2 months ago

Input

logo_image
logo_description: a taco emoji logo
destination_prompt: a purple hoodie

{
  "logo_image": "https://replicate.delivery/pbxt/MZ4HdvEgTOIbbOadXMh7NulzxSEeIPIReaT1tkugGRIYjekX/taco.png",
  "logo_description": "a taco emoji logo",
  "destination_prompt": "a purple hoodie"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
  {
    input: {
      logo_image: "https://replicate.delivery/pbxt/MZ4HdvEgTOIbbOadXMh7NulzxSEeIPIReaT1tkugGRIYjekX/taco.png",
      logo_description: "a taco emoji logo",
      destination_prompt: "a purple hoodie"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    input={
        "logo_image": "https://replicate.delivery/pbxt/MZ4HdvEgTOIbbOadXMh7NulzxSEeIPIReaT1tkugGRIYjekX/taco.png",
        "logo_description": "a taco emoji logo",
        "destination_prompt": "a purple hoodie"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/flux-in-context 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": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    "input": {
      "logo_image": "https://replicate.delivery/pbxt/MZ4HdvEgTOIbbOadXMh7NulzxSEeIPIReaT1tkugGRIYjekX/taco.png",
      "logo_description": "a taco emoji logo",
      "destination_prompt": "a purple hoodie"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-26T05:29:19.820789Z",
  "created_at": "2025-02-26T05:28:53.669000Z",
  "data_removed": false,
  "error": null,
  "id": "mtzjhb5rmnrm80cn82xacc1frc",
  "input": {
    "logo_image": "https://replicate.delivery/pbxt/MZ4HdvEgTOIbbOadXMh7NulzxSEeIPIReaT1tkugGRIYjekX/taco.png",
    "logo_description": "a taco emoji logo",
    "destination_prompt": "a purple hoodie"
  },
  "logs": "0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:27,  1.04s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.04it/s]\n 11%|█         | 3/28 [00:02<00:23,  1.07it/s]\n 14%|█▍        | 4/28 [00:03<00:22,  1.08it/s]\n 18%|█▊        | 5/28 [00:04<00:21,  1.09it/s]\n 21%|██▏       | 6/28 [00:05<00:20,  1.10it/s]\n 25%|██▌       | 7/28 [00:06<00:19,  1.10it/s]\n 29%|██▊       | 8/28 [00:07<00:18,  1.10it/s]\n 32%|███▏      | 9/28 [00:08<00:17,  1.10it/s]\n 36%|███▌      | 10/28 [00:09<00:16,  1.10it/s]\n 39%|███▉      | 11/28 [00:10<00:15,  1.10it/s]\n 43%|████▎     | 12/28 [00:10<00:14,  1.10it/s]\n 46%|████▋     | 13/28 [00:11<00:13,  1.10it/s]\n 50%|█████     | 14/28 [00:12<00:12,  1.11it/s]\n 54%|█████▎    | 15/28 [00:13<00:11,  1.11it/s]\n 57%|█████▋    | 16/28 [00:14<00:10,  1.11it/s]\n 61%|██████    | 17/28 [00:15<00:09,  1.11it/s]\n 64%|██████▍   | 18/28 [00:16<00:09,  1.10it/s]\n 68%|██████▊   | 19/28 [00:17<00:08,  1.11it/s]\n 71%|███████▏  | 20/28 [00:18<00:07,  1.11it/s]\n 75%|███████▌  | 21/28 [00:19<00:06,  1.11it/s]\n 79%|███████▊  | 22/28 [00:20<00:05,  1.11it/s]\n 82%|████████▏ | 23/28 [00:20<00:04,  1.11it/s]\n 86%|████████▌ | 24/28 [00:21<00:03,  1.11it/s]\n 89%|████████▉ | 25/28 [00:22<00:02,  1.11it/s]\n 93%|█████████▎| 26/28 [00:23<00:01,  1.11it/s]\n 96%|█████████▋| 27/28 [00:24<00:00,  1.11it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.18it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.11it/s]",
  "metrics": {
    "predict_time": 26.143615502,
    "total_time": 26.151789
  },
  "output": "https://replicate.delivery/xezq/aEljbWu8enUSaaN0u0T6NxEH7kBtro9yftCxTt7peyqeKWMRB/output.png",
  "started_at": "2025-02-26T05:28:53.677173Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-qcoxf4byuyljyijaa6e6kya42z553kdqwisfklghpynqcq2m24gq",
    "get": "https://api.replicate.com/v1/predictions/mtzjhb5rmnrm80cn82xacc1frc",
    "cancel": "https://api.replicate.com/v1/predictions/mtzjhb5rmnrm80cn82xacc1frc/cancel"
  },
  "version": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307"
}

Generated in

26.1 seconds

lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307

Prediction

Model

ID

s29d7y77h1rm80cn82yrbjaes0

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

26.1s

Created

about 2 months ago

Input

logo_image
logo_description: a taco emoji logo
destination_prompt: a tote bag

{
  "logo_image": "https://replicate.delivery/pbxt/MZ4KvfyfyBB0aBHMLTd8s15s1k5tCuJ1gdUnTUQwwYU6YRcl/taco.png",
  "logo_description": "a taco emoji logo",
  "destination_prompt": "a tote bag"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
  {
    input: {
      logo_image: "https://replicate.delivery/pbxt/MZ4KvfyfyBB0aBHMLTd8s15s1k5tCuJ1gdUnTUQwwYU6YRcl/taco.png",
      logo_description: "a taco emoji logo",
      destination_prompt: "a tote bag"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    input={
        "logo_image": "https://replicate.delivery/pbxt/MZ4KvfyfyBB0aBHMLTd8s15s1k5tCuJ1gdUnTUQwwYU6YRcl/taco.png",
        "logo_description": "a taco emoji logo",
        "destination_prompt": "a tote bag"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/flux-in-context 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": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    "input": {
      "logo_image": "https://replicate.delivery/pbxt/MZ4KvfyfyBB0aBHMLTd8s15s1k5tCuJ1gdUnTUQwwYU6YRcl/taco.png",
      "logo_description": "a taco emoji logo",
      "destination_prompt": "a tote bag"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-26T05:32:48.418769Z",
  "created_at": "2025-02-26T05:32:22.280000Z",
  "data_removed": false,
  "error": null,
  "id": "s29d7y77h1rm80cn82yrbjaes0",
  "input": {
    "logo_image": "https://replicate.delivery/pbxt/MZ4KvfyfyBB0aBHMLTd8s15s1k5tCuJ1gdUnTUQwwYU6YRcl/taco.png",
    "logo_description": "a taco emoji logo",
    "destination_prompt": "a tote bag"
  },
  "logs": "0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:27,  1.03s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.05it/s]\n 11%|█         | 3/28 [00:02<00:23,  1.07it/s]\n 14%|█▍        | 4/28 [00:03<00:22,  1.08it/s]\n 18%|█▊        | 5/28 [00:04<00:21,  1.09it/s]\n 21%|██▏       | 6/28 [00:05<00:20,  1.10it/s]\n 25%|██▌       | 7/28 [00:06<00:19,  1.10it/s]\n 29%|██▊       | 8/28 [00:07<00:18,  1.10it/s]\n 32%|███▏      | 9/28 [00:08<00:17,  1.10it/s]\n 36%|███▌      | 10/28 [00:09<00:16,  1.10it/s]\n 39%|███▉      | 11/28 [00:10<00:15,  1.10it/s]\n 43%|████▎     | 12/28 [00:11<00:14,  1.10it/s]\n 46%|████▋     | 13/28 [00:11<00:13,  1.10it/s]\n 50%|█████     | 14/28 [00:12<00:12,  1.10it/s]\n 54%|█████▎    | 15/28 [00:13<00:11,  1.10it/s]\n 57%|█████▋    | 16/28 [00:14<00:10,  1.10it/s]\n 61%|██████    | 17/28 [00:15<00:09,  1.10it/s]\n 64%|██████▍   | 18/28 [00:16<00:09,  1.10it/s]\n 68%|██████▊   | 19/28 [00:17<00:08,  1.10it/s]\n 71%|███████▏  | 20/28 [00:18<00:07,  1.10it/s]\n 75%|███████▌  | 21/28 [00:19<00:06,  1.11it/s]\n 79%|███████▊  | 22/28 [00:20<00:05,  1.11it/s]\n 82%|████████▏ | 23/28 [00:20<00:04,  1.11it/s]\n 86%|████████▌ | 24/28 [00:21<00:03,  1.11it/s]\n 89%|████████▉ | 25/28 [00:22<00:02,  1.11it/s]\n 93%|█████████▎| 26/28 [00:23<00:01,  1.11it/s]\n 96%|█████████▋| 27/28 [00:24<00:00,  1.11it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.18it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.11it/s]",
  "metrics": {
    "predict_time": 26.130277335,
    "total_time": 26.138769
  },
  "output": "https://replicate.delivery/xezq/IPK2EVezyZXDOi5w1xlSM80x4yjaojZpAB4DIuDsT2LAziJKA/output.png",
  "started_at": "2025-02-26T05:32:22.288491Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-sk6my36ort5lrvng24ykujhj6u3tvycvoy24gmjdzlqm74ahz2ha",
    "get": "https://api.replicate.com/v1/predictions/s29d7y77h1rm80cn82yrbjaes0",
    "cancel": "https://api.replicate.com/v1/predictions/s29d7y77h1rm80cn82yrbjaes0/cancel"
  },
  "version": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307"
}

Generated in

26.1 seconds

lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307

Prediction

Model

ID

ea4mzeavw9rme0cn82zr8dv1qw

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

26.1s

Created

about 2 months ago

Input

logo_image
logo_description: a taco emoji logo
destination_prompt: a soda can

{
  "logo_image": "https://replicate.delivery/pbxt/MZ4Leg14k8f3wAEpD5HpwJS18T0YrxkEVmEFor7EonzIpCzS/taco.png",
  "logo_description": "a taco emoji logo",
  "destination_prompt": "a soda can"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
  {
    input: {
      logo_image: "https://replicate.delivery/pbxt/MZ4Leg14k8f3wAEpD5HpwJS18T0YrxkEVmEFor7EonzIpCzS/taco.png",
      logo_description: "a taco emoji logo",
      destination_prompt: "a soda can"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    input={
        "logo_image": "https://replicate.delivery/pbxt/MZ4Leg14k8f3wAEpD5HpwJS18T0YrxkEVmEFor7EonzIpCzS/taco.png",
        "logo_description": "a taco emoji logo",
        "destination_prompt": "a soda can"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/flux-in-context 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": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    "input": {
      "logo_image": "https://replicate.delivery/pbxt/MZ4Leg14k8f3wAEpD5HpwJS18T0YrxkEVmEFor7EonzIpCzS/taco.png",
      "logo_description": "a taco emoji logo",
      "destination_prompt": "a soda can"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-26T05:34:23.726440Z",
  "created_at": "2025-02-26T05:33:57.602000Z",
  "data_removed": false,
  "error": null,
  "id": "ea4mzeavw9rme0cn82zr8dv1qw",
  "input": {
    "logo_image": "https://replicate.delivery/pbxt/MZ4Leg14k8f3wAEpD5HpwJS18T0YrxkEVmEFor7EonzIpCzS/taco.png",
    "logo_description": "a taco emoji logo",
    "destination_prompt": "a soda can"
  },
  "logs": "0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:27,  1.03s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.05it/s]\n 11%|█         | 3/28 [00:02<00:23,  1.07it/s]\n 14%|█▍        | 4/28 [00:03<00:22,  1.08it/s]\n 18%|█▊        | 5/28 [00:04<00:21,  1.09it/s]\n 21%|██▏       | 6/28 [00:05<00:20,  1.10it/s]\n 25%|██▌       | 7/28 [00:06<00:19,  1.10it/s]\n 29%|██▊       | 8/28 [00:07<00:18,  1.10it/s]\n 32%|███▏      | 9/28 [00:08<00:17,  1.10it/s]\n 36%|███▌      | 10/28 [00:09<00:16,  1.10it/s]\n 39%|███▉      | 11/28 [00:10<00:15,  1.10it/s]\n 43%|████▎     | 12/28 [00:10<00:14,  1.10it/s]\n 46%|████▋     | 13/28 [00:11<00:13,  1.10it/s]\n 50%|█████     | 14/28 [00:12<00:12,  1.10it/s]\n 54%|█████▎    | 15/28 [00:13<00:11,  1.10it/s]\n 57%|█████▋    | 16/28 [00:14<00:10,  1.10it/s]\n 61%|██████    | 17/28 [00:15<00:09,  1.10it/s]\n 64%|██████▍   | 18/28 [00:16<00:09,  1.10it/s]\n 68%|██████▊   | 19/28 [00:17<00:08,  1.10it/s]\n 71%|███████▏  | 20/28 [00:18<00:07,  1.10it/s]\n 75%|███████▌  | 21/28 [00:19<00:06,  1.10it/s]\n 79%|███████▊  | 22/28 [00:20<00:05,  1.10it/s]\n 82%|████████▏ | 23/28 [00:20<00:04,  1.10it/s]\n 86%|████████▌ | 24/28 [00:21<00:03,  1.10it/s]\n 89%|████████▉ | 25/28 [00:22<00:02,  1.10it/s]\n 93%|█████████▎| 26/28 [00:23<00:01,  1.10it/s]\n 96%|█████████▋| 27/28 [00:24<00:00,  1.10it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.17it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.11it/s]",
  "metrics": {
    "predict_time": 26.117535369,
    "total_time": 26.12444
  },
  "output": "https://replicate.delivery/xezq/aduSfCkLU3UNCStuHZOOAjGANBDorylVes7cL8HCHPVfOLmoA/output.png",
  "started_at": "2025-02-26T05:33:57.608904Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-qwzzxadthx34d4vpvjiutxsaomzxtaufkkf27ioeruxu3k7dw4ta",
    "get": "https://api.replicate.com/v1/predictions/ea4mzeavw9rme0cn82zr8dv1qw",
    "cancel": "https://api.replicate.com/v1/predictions/ea4mzeavw9rme0cn82zr8dv1qw/cancel"
  },
  "version": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307"
}

Generated in

26.1 seconds

lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307

Prediction

Model

ID

g4w3zt9sc5rmc0cn8c59vqx4p4

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

25.8s

Created

about 2 months ago

Input

logo_image
logo_description: a white logo on a black background
destination_prompt: a red pink yellow orange tie dye hat

{
  "logo_image": "https://replicate.delivery/pbxt/MYuQmsrqokVA0X0YdjRvHNQzyKnWOlpsyRX0r8ThmtqFXhaw/replicate.png",
  "logo_description": "a white logo on a black background",
  "destination_prompt": "a red pink yellow orange tie dye hat"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
  {
    input: {
      logo_image: "https://replicate.delivery/pbxt/MYuQmsrqokVA0X0YdjRvHNQzyKnWOlpsyRX0r8ThmtqFXhaw/replicate.png",
      logo_description: "a white logo on a black background",
      destination_prompt: "a red pink yellow orange tie dye hat"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    input={
        "logo_image": "https://replicate.delivery/pbxt/MYuQmsrqokVA0X0YdjRvHNQzyKnWOlpsyRX0r8ThmtqFXhaw/replicate.png",
        "logo_description": "a white logo on a black background",
        "destination_prompt": "a red pink yellow orange tie dye hat"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/flux-in-context 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": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    "input": {
      "logo_image": "https://replicate.delivery/pbxt/MYuQmsrqokVA0X0YdjRvHNQzyKnWOlpsyRX0r8ThmtqFXhaw/replicate.png",
      "logo_description": "a white logo on a black background",
      "destination_prompt": "a red pink yellow orange tie dye hat"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-26T16:15:24.230877Z",
  "created_at": "2025-02-26T16:14:58.401000Z",
  "data_removed": false,
  "error": null,
  "id": "g4w3zt9sc5rmc0cn8c59vqx4p4",
  "input": {
    "logo_image": "https://replicate.delivery/pbxt/MYuQmsrqokVA0X0YdjRvHNQzyKnWOlpsyRX0r8ThmtqFXhaw/replicate.png",
    "logo_description": "a white logo on a black background",
    "destination_prompt": "a red pink yellow orange tie dye hat"
  },
  "logs": "0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:27,  1.02s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.05it/s]\n 11%|█         | 3/28 [00:02<00:23,  1.08it/s]\n 14%|█▍        | 4/28 [00:03<00:21,  1.09it/s]\n 18%|█▊        | 5/28 [00:04<00:20,  1.10it/s]\n 21%|██▏       | 6/28 [00:05<00:19,  1.11it/s]\n 25%|██▌       | 7/28 [00:06<00:18,  1.11it/s]\n 29%|██▊       | 8/28 [00:07<00:18,  1.11it/s]\n 32%|███▏      | 9/28 [00:08<00:17,  1.11it/s]\n 36%|███▌      | 10/28 [00:09<00:16,  1.11it/s]\n 39%|███▉      | 11/28 [00:09<00:15,  1.11it/s]\n 43%|████▎     | 12/28 [00:10<00:14,  1.11it/s]\n 46%|████▋     | 13/28 [00:11<00:13,  1.11it/s]\n 50%|█████     | 14/28 [00:12<00:12,  1.11it/s]\n 54%|█████▎    | 15/28 [00:13<00:11,  1.11it/s]\n 57%|█████▋    | 16/28 [00:14<00:10,  1.11it/s]\n 61%|██████    | 17/28 [00:15<00:09,  1.11it/s]\n 64%|██████▍   | 18/28 [00:16<00:09,  1.11it/s]\n 68%|██████▊   | 19/28 [00:17<00:08,  1.11it/s]\n 71%|███████▏  | 20/28 [00:18<00:07,  1.11it/s]\n 75%|███████▌  | 21/28 [00:18<00:06,  1.11it/s]\n 79%|███████▊  | 22/28 [00:19<00:05,  1.11it/s]\n 82%|████████▏ | 23/28 [00:20<00:04,  1.11it/s]\n 86%|████████▌ | 24/28 [00:21<00:03,  1.11it/s]\n 89%|████████▉ | 25/28 [00:22<00:02,  1.11it/s]\n 93%|█████████▎| 26/28 [00:23<00:01,  1.11it/s]\n 96%|█████████▋| 27/28 [00:24<00:00,  1.11it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.18it/s]\n100%|██████████| 28/28 [00:25<00:00,  1.12it/s]",
  "metrics": {
    "predict_time": 25.822250876,
    "total_time": 25.829877
  },
  "output": "https://replicate.delivery/xezq/xzZrm5iGbaLrI5t323xwf5MrH2aEeSqmCd55Vke32yewB8MRB/output.png",
  "started_at": "2025-02-26T16:14:58.408626Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-it5gaq27gq6p22zxx6qmlmuto4hwxzjskmpgopyqqvlel6luxg7a",
    "get": "https://api.replicate.com/v1/predictions/g4w3zt9sc5rmc0cn8c59vqx4p4",
    "cancel": "https://api.replicate.com/v1/predictions/g4w3zt9sc5rmc0cn8c59vqx4p4/cancel"
  },
  "version": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307"
}

Generated in

25.8 seconds

lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307

Prediction

Model

ID

ry4y2ddfj5rma0cnne2akdg1y8

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

25.6s

Created

about 1 month ago

Input

logo_image
logo_description: a taco emoji logo
destination_prompt: a purple cap

{
  "logo_image": "https://replicate.delivery/pbxt/MZ4HdvEgTOIbbOadXMh7NulzxSEeIPIReaT1tkugGRIYjekX/taco.png",
  "logo_description": "a taco emoji logo",
  "destination_prompt": "a purple cap"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
  {
    input: {
      logo_image: "https://replicate.delivery/pbxt/MZ4HdvEgTOIbbOadXMh7NulzxSEeIPIReaT1tkugGRIYjekX/taco.png",
      logo_description: "a taco emoji logo",
      destination_prompt: "a purple cap"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/flux-in-context:703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    input={
        "logo_image": "https://replicate.delivery/pbxt/MZ4HdvEgTOIbbOadXMh7NulzxSEeIPIReaT1tkugGRIYjekX/taco.png",
        "logo_description": "a taco emoji logo",
        "destination_prompt": "a purple cap"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/flux-in-context 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": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307",
    "input": {
      "logo_image": "https://replicate.delivery/pbxt/MZ4HdvEgTOIbbOadXMh7NulzxSEeIPIReaT1tkugGRIYjekX/taco.png",
      "logo_description": "a taco emoji logo",
      "destination_prompt": "a purple cap"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-03-18T23:09:40.070015Z",
  "created_at": "2025-03-18T23:09:14.513000Z",
  "data_removed": false,
  "error": null,
  "id": "ry4y2ddfj5rma0cnne2akdg1y8",
  "input": {
    "logo_image": "https://replicate.delivery/pbxt/MZ4HdvEgTOIbbOadXMh7NulzxSEeIPIReaT1tkugGRIYjekX/taco.png",
    "logo_description": "a taco emoji logo",
    "destination_prompt": "a purple cap"
  },
  "logs": "0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:27,  1.01s/it]\n  7%|▋         | 2/28 [00:01<00:24,  1.07it/s]\n 11%|█         | 3/28 [00:02<00:22,  1.09it/s]\n 14%|█▍        | 4/28 [00:03<00:21,  1.11it/s]\n 18%|█▊        | 5/28 [00:04<00:20,  1.11it/s]\n 21%|██▏       | 6/28 [00:05<00:19,  1.12it/s]\n 25%|██▌       | 7/28 [00:06<00:18,  1.12it/s]\n 29%|██▊       | 8/28 [00:07<00:17,  1.12it/s]\n 32%|███▏      | 9/28 [00:08<00:16,  1.12it/s]\n 36%|███▌      | 10/28 [00:09<00:16,  1.12it/s]\n 39%|███▉      | 11/28 [00:09<00:15,  1.13it/s]\n 43%|████▎     | 12/28 [00:10<00:14,  1.13it/s]\n 46%|████▋     | 13/28 [00:11<00:13,  1.13it/s]\n 50%|█████     | 14/28 [00:12<00:12,  1.13it/s]\n 54%|█████▎    | 15/28 [00:13<00:11,  1.13it/s]\n 57%|█████▋    | 16/28 [00:14<00:10,  1.13it/s]\n 61%|██████    | 17/28 [00:15<00:09,  1.13it/s]\n 64%|██████▍   | 18/28 [00:16<00:08,  1.13it/s]\n 68%|██████▊   | 19/28 [00:16<00:07,  1.13it/s]\n 71%|███████▏  | 20/28 [00:17<00:07,  1.13it/s]\n 75%|███████▌  | 21/28 [00:18<00:06,  1.12it/s]\n 79%|███████▊  | 22/28 [00:19<00:05,  1.12it/s]\n 82%|████████▏ | 23/28 [00:20<00:04,  1.12it/s]\n 86%|████████▌ | 24/28 [00:21<00:03,  1.12it/s]\n 89%|████████▉ | 25/28 [00:22<00:02,  1.12it/s]\n 93%|█████████▎| 26/28 [00:23<00:01,  1.12it/s]\n 96%|█████████▋| 27/28 [00:24<00:00,  1.12it/s]\n100%|██████████| 28/28 [00:24<00:00,  1.19it/s]\n100%|██████████| 28/28 [00:24<00:00,  1.13it/s]",
  "metrics": {
    "predict_time": 25.54941238,
    "total_time": 25.557015
  },
  "output": "https://replicate.delivery/xezq/9FAfpTtf7Atn3E9oshfbo8KXH2axan0q6C4lGPJqP3dp51zoA/output.png",
  "started_at": "2025-03-18T23:09:14.520603Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-wad4el6e2ybxdzj4f2mrhxgolmacg4bagfnaxvnmnjk7iw63fgda",
    "get": "https://api.replicate.com/v1/predictions/ry4y2ddfj5rma0cnne2akdg1y8",
    "cancel": "https://api.replicate.com/v1/predictions/ry4y2ddfj5rma0cnne2akdg1y8/cancel"
  },
  "version": "703f38c44b9c2820b79b54f96ef5f6554240b3ec4035a0cf80ba04e1f87ae307"
}

Generated in

25.6 seconds