lucataco / ip_adapter-face

{
  "seed": 15251,
  "image": "https://replicate.delivery/pbxt/Jqd79M3DQVfYYvYcZYURBMxc0kd3oeM9Z5jiYSUONnHEfhlW/ai_face2.png",
  "prompt": "photo of a beautiful girl wearing casual shirt in a garden",
  "num_outputs": 1,
  "num_inference_steps": 50
}

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 lucataco/ip_adapter-face using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ip_adapter-face:b6618893d3d0ee4a9b3a1e990a00be6bd6c3b6fddef83e0b68efc525de54580c",
  {
    input: {
      seed: 15251,
      image: "https://replicate.delivery/pbxt/Jqd79M3DQVfYYvYcZYURBMxc0kd3oeM9Z5jiYSUONnHEfhlW/ai_face2.png",
      prompt: "photo of a beautiful girl wearing casual shirt in a garden",
      num_outputs: 1,
      num_inference_steps: 50
    }
  }
);

// 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 lucataco/ip_adapter-face using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ip_adapter-face:b6618893d3d0ee4a9b3a1e990a00be6bd6c3b6fddef83e0b68efc525de54580c",
    input={
        "seed": 15251,
        "image": "https://replicate.delivery/pbxt/Jqd79M3DQVfYYvYcZYURBMxc0kd3oeM9Z5jiYSUONnHEfhlW/ai_face2.png",
        "prompt": "photo of a beautiful girl wearing casual shirt in a garden",
        "num_outputs": 1,
        "num_inference_steps": 50
    }
)

# 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 lucataco/ip_adapter-face 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": "lucataco/ip_adapter-face:b6618893d3d0ee4a9b3a1e990a00be6bd6c3b6fddef83e0b68efc525de54580c",
    "input": {
      "seed": 15251,
      "image": "https://replicate.delivery/pbxt/Jqd79M3DQVfYYvYcZYURBMxc0kd3oeM9Z5jiYSUONnHEfhlW/ai_face2.png",
      "prompt": "photo of a beautiful girl wearing casual shirt in a garden",
      "num_outputs": 1,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-09T16:42:36.834553Z",
  "created_at": "2023-11-09T16:42:29.064071Z",
  "data_removed": false,
  "error": null,
  "id": "vap6gtdbtrmhk2tlhdhnvz4yzq",
  "input": {
    "seed": 15251,
    "image": "https://replicate.delivery/pbxt/Jqd79M3DQVfYYvYcZYURBMxc0kd3oeM9Z5jiYSUONnHEfhlW/ai_face2.png",
    "prompt": "photo of a beautiful girl wearing casual shirt in a garden",
    "num_outputs": 1,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 15251\n  0%|          | 0/50 [00:00<?, ?it/s]\n  6%|▌         | 3/50 [00:00<00:01, 23.79it/s]\n 12%|█▏        | 6/50 [00:00<00:01, 23.63it/s]\n 18%|█▊        | 9/50 [00:00<00:01, 23.58it/s]\n 24%|██▍       | 12/50 [00:00<00:01, 23.56it/s]\n 30%|███       | 15/50 [00:00<00:01, 23.52it/s]\n 36%|███▌      | 18/50 [00:00<00:01, 23.49it/s]\n 42%|████▏     | 21/50 [00:00<00:01, 23.45it/s]\n 48%|████▊     | 24/50 [00:01<00:01, 23.44it/s]\n 54%|█████▍    | 27/50 [00:01<00:00, 23.41it/s]\n 60%|██████    | 30/50 [00:01<00:00, 23.39it/s]\n 66%|██████▌   | 33/50 [00:01<00:00, 23.39it/s]\n 72%|███████▏  | 36/50 [00:01<00:00, 23.38it/s]\n 78%|███████▊  | 39/50 [00:01<00:00, 23.40it/s]\n 84%|████████▍ | 42/50 [00:01<00:00, 23.38it/s]\n 90%|█████████ | 45/50 [00:01<00:00, 23.39it/s]\n 96%|█████████▌| 48/50 [00:02<00:00, 23.35it/s]\n100%|██████████| 50/50 [00:02<00:00, 23.42it/s]",
  "metrics": {
    "predict_time": 7.79416,
    "total_time": 7.770482
  },
  "output": [
    "https://replicate.delivery/pbxt/udBop2Tbe0zNaSqQEESSgmA5PDRuGJhxxnfLnlng5e24vXtjA/out-0.png"
  ],
  "started_at": "2023-11-09T16:42:29.040393Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/vap6gtdbtrmhk2tlhdhnvz4yzq",
    "cancel": "https://api.replicate.com/v1/predictions/vap6gtdbtrmhk2tlhdhnvz4yzq/cancel"
  },
  "version": "b6618893d3d0ee4a9b3a1e990a00be6bd6c3b6fddef83e0b68efc525de54580c"
}

Generated in

7.8 seconds

Tweak it ShareReport

Prediction

lucataco/ip_adapter-face:b6618893d3d0ee4a9b3a1e990a00be6bd6c3b6fddef83e0b68efc525de54580c

Model

lucataco/ip_adapter-face:b6618893

z3hyd3tblsvofemupe5yhemrim

Status

Succeeded

Source

Web

Hardware

A40

Total duration

8.5s

Created

over 1 year ago

Input

seed: 422
image
prompt: photo of a beautiful girl wearing casual shirt in a garden
num_outputs: 1
num_inference_steps: 50

{
  "seed": 422,
  "image": "https://replicate.delivery/pbxt/Jqd7lvTD7UWzS1OjlvNMbBxsqYSU05q9qFGjh3iZQ8MEa5vg/ai_face.png",
  "prompt": "photo of a beautiful girl wearing casual shirt in a garden",
  "num_outputs": 1,
  "num_inference_steps": 50
}

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 lucataco/ip_adapter-face using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ip_adapter-face:b6618893d3d0ee4a9b3a1e990a00be6bd6c3b6fddef83e0b68efc525de54580c",
  {
    input: {
      seed: 422,
      image: "https://replicate.delivery/pbxt/Jqd7lvTD7UWzS1OjlvNMbBxsqYSU05q9qFGjh3iZQ8MEa5vg/ai_face.png",
      prompt: "photo of a beautiful girl wearing casual shirt in a garden",
      num_outputs: 1,
      num_inference_steps: 50
    }
  }
);

// 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 lucataco/ip_adapter-face using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ip_adapter-face:b6618893d3d0ee4a9b3a1e990a00be6bd6c3b6fddef83e0b68efc525de54580c",
    input={
        "seed": 422,
        "image": "https://replicate.delivery/pbxt/Jqd7lvTD7UWzS1OjlvNMbBxsqYSU05q9qFGjh3iZQ8MEa5vg/ai_face.png",
        "prompt": "photo of a beautiful girl wearing casual shirt in a garden",
        "num_outputs": 1,
        "num_inference_steps": 50
    }
)

# 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 lucataco/ip_adapter-face 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": "lucataco/ip_adapter-face:b6618893d3d0ee4a9b3a1e990a00be6bd6c3b6fddef83e0b68efc525de54580c",
    "input": {
      "seed": 422,
      "image": "https://replicate.delivery/pbxt/Jqd7lvTD7UWzS1OjlvNMbBxsqYSU05q9qFGjh3iZQ8MEa5vg/ai_face.png",
      "prompt": "photo of a beautiful girl wearing casual shirt in a garden",
      "num_outputs": 1,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-09T16:43:17.879418Z",
  "created_at": "2023-11-09T16:43:09.400670Z",
  "data_removed": false,
  "error": null,
  "id": "z3hyd3tblsvofemupe5yhemrim",
  "input": {
    "seed": 422,
    "image": "https://replicate.delivery/pbxt/Jqd7lvTD7UWzS1OjlvNMbBxsqYSU05q9qFGjh3iZQ8MEa5vg/ai_face.png",
    "prompt": "photo of a beautiful girl wearing casual shirt in a garden",
    "num_outputs": 1,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 422\n  0%|          | 0/50 [00:00<?, ?it/s]\n  6%|▌         | 3/50 [00:00<00:01, 23.57it/s]\n 12%|█▏        | 6/50 [00:00<00:01, 23.60it/s]\n 18%|█▊        | 9/50 [00:00<00:01, 23.59it/s]\n 24%|██▍       | 12/50 [00:00<00:01, 23.59it/s]\n 30%|███       | 15/50 [00:00<00:01, 23.58it/s]\n 36%|███▌      | 18/50 [00:00<00:01, 23.53it/s]\n 42%|████▏     | 21/50 [00:00<00:01, 23.47it/s]\n 48%|████▊     | 24/50 [00:01<00:01, 23.41it/s]\n 54%|█████▍    | 27/50 [00:01<00:00, 23.40it/s]\n 60%|██████    | 30/50 [00:01<00:00, 23.36it/s]\n 66%|██████▌   | 33/50 [00:01<00:00, 23.36it/s]\n 72%|███████▏  | 36/50 [00:01<00:00, 23.34it/s]\n 78%|███████▊  | 39/50 [00:01<00:00, 23.36it/s]\n 84%|████████▍ | 42/50 [00:01<00:00, 23.32it/s]\n 90%|█████████ | 45/50 [00:01<00:00, 23.33it/s]\n 96%|█████████▌| 48/50 [00:02<00:00, 23.35it/s]\n100%|██████████| 50/50 [00:02<00:00, 23.40it/s]",
  "metrics": {
    "predict_time": 8.495283,
    "total_time": 8.478748
  },
  "output": [
    "https://replicate.delivery/pbxt/qRKurlnR9m4PDNeRdEEKpll31uY5G1F9DrwV9WaqGO6S8V7IA/out-0.png"
  ],
  "started_at": "2023-11-09T16:43:09.384135Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/z3hyd3tblsvofemupe5yhemrim",
    "cancel": "https://api.replicate.com/v1/predictions/z3hyd3tblsvofemupe5yhemrim/cancel"
  },
  "version": "b6618893d3d0ee4a9b3a1e990a00be6bd6c3b6fddef83e0b68efc525de54580c"
}

Generated in

8.5 seconds

Tweak it ShareReport