Prediction

Model

lucataco/ip-adapter-faceid:fb81ef96

yzcljc3bq3iap6xal2q3cpequy

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

19.4s

Created

almost 2 years ago

Webhook

–

Input

face_image: https://replicate.delivery/pbxt/K5DSwf3aUzIpS4srbRhNQkESybPovfXwEfjIuDMj3Dz86tDV/demo.png
prompt: photo of a woman in red dress in a garden
negative_prompt: monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people
width: 1024
height: 1024
num_outputs: 1
num_inference_steps: 30
seed: 2212213399
agree_to_research_only: true

{
  "agree_to_research_only": true,
  "face_image": "https://replicate.delivery/pbxt/K5DSwf3aUzIpS4srbRhNQkESybPovfXwEfjIuDMj3Dz86tDV/demo.png",
  "height": 1024,
  "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people",
  "num_inference_steps": 30,
  "num_outputs": 1,
  "prompt": "photo of a woman in red dress in a garden",
  "seed": 2212213399,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_ORJ**********************************

This is your API token. Keep it to yourself.

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-faceid 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-faceid:fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd",
  {
    input: {
      agree_to_research_only: true,
      face_image: "https://replicate.delivery/pbxt/K5DSwf3aUzIpS4srbRhNQkESybPovfXwEfjIuDMj3Dz86tDV/demo.png",
      height: 1024,
      negative_prompt: "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people",
      num_inference_steps: 30,
      num_outputs: 1,
      prompt: "photo of a woman in red dress in a garden",
      seed: 2212213399,
      width: 1024
    }
  }
);

// 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_ORJ**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run lucataco/ip-adapter-faceid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ip-adapter-faceid:fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd",
    input={
        "agree_to_research_only": True,
        "face_image": "https://replicate.delivery/pbxt/K5DSwf3aUzIpS4srbRhNQkESybPovfXwEfjIuDMj3Dz86tDV/demo.png",
        "height": 1024,
        "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people",
        "num_inference_steps": 30,
        "num_outputs": 1,
        "prompt": "photo of a woman in red dress in a garden",
        "seed": 2212213399,
        "width": 1024
    }
)

# 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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_ORJ**********************************

This is your API token. Keep it to yourself.

Run lucataco/ip-adapter-faceid 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-faceid:fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd",
    "input": {
      "agree_to_research_only": true,
      "face_image": "https://replicate.delivery/pbxt/K5DSwf3aUzIpS4srbRhNQkESybPovfXwEfjIuDMj3Dz86tDV/demo.png",
      "height": 1024,
      "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people",
      "num_inference_steps": 30,
      "num_outputs": 1,
      "prompt": "photo of a woman in red dress in a garden",
      "seed": 2212213399,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "yzcljc3bq3iap6xal2q3cpequy",
  "model": "lucataco/ip-adapter-faceid",
  "version": "fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd",
  "input": {
    "agree_to_research_only": true,
    "face_image": "https://replicate.delivery/pbxt/K5DSwf3aUzIpS4srbRhNQkESybPovfXwEfjIuDMj3Dz86tDV/demo.png",
    "height": 1024,
    "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry, multiple people",
    "num_inference_steps": 30,
    "num_outputs": 1,
    "prompt": "photo of a woman in red dress in a garden",
    "seed": 2212213399,
    "width": 1024
  },
  "logs": "Using seed: 2212213399\nset det-size: (640, 640)\nwarning: det_size is already set in detection model, ignore\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:16,  1.73it/s]\n  7%|▋         | 2/30 [00:01<00:16,  1.73it/s]\n 10%|█         | 3/30 [00:01<00:15,  1.73it/s]\n 13%|█▎        | 4/30 [00:02<00:15,  1.73it/s]\n 17%|█▋        | 5/30 [00:02<00:14,  1.73it/s]\n 20%|██        | 6/30 [00:03<00:13,  1.72it/s]\n 23%|██▎       | 7/30 [00:04<00:13,  1.72it/s]\n 27%|██▋       | 8/30 [00:04<00:12,  1.72it/s]\n 30%|███       | 9/30 [00:05<00:12,  1.72it/s]\n 33%|███▎      | 10/30 [00:05<00:11,  1.72it/s]\n 37%|███▋      | 11/30 [00:06<00:11,  1.72it/s]\n 40%|████      | 12/30 [00:06<00:10,  1.72it/s]\n 43%|████▎     | 13/30 [00:07<00:09,  1.72it/s]\n 47%|████▋     | 14/30 [00:08<00:09,  1.72it/s]\n 50%|█████     | 15/30 [00:08<00:08,  1.72it/s]\n 53%|█████▎    | 16/30 [00:09<00:08,  1.72it/s]\n 57%|█████▋    | 17/30 [00:09<00:07,  1.72it/s]\n 60%|██████    | 18/30 [00:10<00:06,  1.72it/s]\n 63%|██████▎   | 19/30 [00:11<00:06,  1.72it/s]\n 67%|██████▋   | 20/30 [00:11<00:05,  1.72it/s]\n 70%|███████   | 21/30 [00:12<00:05,  1.72it/s]\n 73%|███████▎  | 22/30 [00:12<00:04,  1.72it/s]\n 77%|███████▋  | 23/30 [00:13<00:04,  1.72it/s]\n 80%|████████  | 24/30 [00:13<00:03,  1.72it/s]\n 83%|████████▎ | 25/30 [00:14<00:02,  1.72it/s]\n 87%|████████▋ | 26/30 [00:15<00:02,  1.72it/s]\n 90%|█████████ | 27/30 [00:15<00:01,  1.72it/s]\n 93%|█████████▎| 28/30 [00:16<00:01,  1.72it/s]\n 97%|█████████▋| 29/30 [00:16<00:00,  1.72it/s]\n100%|██████████| 30/30 [00:17<00:00,  1.72it/s]\n100%|██████████| 30/30 [00:17<00:00,  1.72it/s]",
  "output": [
    "https://replicate.delivery/pbxt/HAS5ByGkTaIYCprOe0Z0FPSs5zC3o2zYSHIMlO8CONrlXHCJA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-12-20T19:00:08.612807Z",
  "started_at": "2023-12-20T19:00:08.650811Z",
  "completed_at": "2023-12-20T19:00:27.97531Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/yzcljc3bq3iap6xal2q3cpequy/cancel",
    "get": "https://api.replicate.com/v1/predictions/yzcljc3bq3iap6xal2q3cpequy"
  },
  "metrics": {
    "predict_time": 19.324499,
    "total_time": 19.362503
  }
}

Generated in

19.3 seconds

Tweak it Report

Using seed: 2212213399 set det-size: (640, 640) warning: det_size is already set in detection model, ignore 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:16, 1.73it/s] 7%|▋ | 2/30 [00:01<00:16, 1.73it/s] 10%|█ | 3/30 [00:01<00:15, 1.73it/s] 13%|█▎ | 4/30 [00:02<00:15, 1.73it/s] 17%|█▋ | 5/30 [00:02<00:14, 1.73it/s] 20%|██ | 6/30 [00:03<00:13, 1.72it/s] 23%|██▎ | 7/30 [00:04<00:13, 1.72it/s] 27%|██▋ | 8/30 [00:04<00:12, 1.72it/s] 30%|███ | 9/30 [00:05<00:12, 1.72it/s] 33%|███▎ | 10/30 [00:05<00:11, 1.72it/s] 37%|███▋ | 11/30 [00:06<00:11, 1.72it/s] 40%|████ | 12/30 [00:06<00:10, 1.72it/s] 43%|████▎ | 13/30 [00:07<00:09, 1.72it/s] 47%|████▋ | 14/30 [00:08<00:09, 1.72it/s] 50%|█████ | 15/30 [00:08<00:08, 1.72it/s] 53%|█████▎ | 16/30 [00:09<00:08, 1.72it/s] 57%|█████▋ | 17/30 [00:09<00:07, 1.72it/s] 60%|██████ | 18/30 [00:10<00:06, 1.72it/s] 63%|██████▎ | 19/30 [00:11<00:06, 1.72it/s] 67%|██████▋ | 20/30 [00:11<00:05, 1.72it/s] 70%|███████ | 21/30 [00:12<00:05, 1.72it/s] 73%|███████▎ | 22/30 [00:12<00:04, 1.72it/s] 77%|███████▋ | 23/30 [00:13<00:04, 1.72it/s] 80%|████████ | 24/30 [00:13<00:03, 1.72it/s] 83%|████████▎ | 25/30 [00:14<00:02, 1.72it/s] 87%|████████▋ | 26/30 [00:15<00:02, 1.72it/s] 90%|█████████ | 27/30 [00:15<00:01, 1.72it/s] 93%|█████████▎| 28/30 [00:16<00:01, 1.72it/s] 97%|█████████▋| 29/30 [00:16<00:00, 1.72it/s] 100%|██████████| 30/30 [00:17<00:00, 1.72it/s] 100%|██████████| 30/30 [00:17<00:00, 1.72it/s]