Prediction

Model

tgohblio/instant-id-multicontrolnet:35324a7d

q5ypk1g4yhrgg0cf90wskpb96r

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

24m 28s

Created

over 1 year ago

Webhook

–

Input

face_image_path: https://replicate.delivery/pbxt/KRsl57SjTUo1WOBw1ir3UVI06jpQ7ybyEtdprpqF2qja40Wn/halle-berry.jpeg
prompt: woman as elven princess, with blue sheen dress, masterpiece
negative_prompt: ugly, low quality, deformed face, nsfw
model: AlbedoBase XL V2
enable_fast_mode: true
lightning_steps: 4step
scheduler: DPMSolverMultistepScheduler
adapter_strength_ratio: 0.8
identitynet_strength_ratio: 0.8
pose: false
pose_strength: 0.5
canny: false
canny_strength: 0.5
depth_map: false
depth_strength: 0.5
num_steps: 25
guidance_scale: 7
seed: 0
enhance_non_face_region: true
safety_checker: true

{
  "adapter_strength_ratio": 0.8,
  "canny": false,
  "canny_strength": 0.5,
  "depth_map": false,
  "depth_strength": 0.5,
  "enable_fast_mode": true,
  "enhance_non_face_region": true,
  "face_image_path": "https://replicate.delivery/pbxt/KRsl57SjTUo1WOBw1ir3UVI06jpQ7ybyEtdprpqF2qja40Wn/halle-berry.jpeg",
  "guidance_scale": 7,
  "identitynet_strength_ratio": 0.8,
  "lightning_steps": "4step",
  "model": "AlbedoBase XL V2",
  "negative_prompt": "ugly, low quality, deformed face, nsfw",
  "num_steps": 25,
  "pose": false,
  "pose_strength": 0.5,
  "prompt": "woman as elven princess, with blue sheen dress, masterpiece",
  "safety_checker": true,
  "scheduler": "DPMSolverMultistepScheduler",
  "seed": 0
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_SOb**********************************

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 tgohblio/instant-id-multicontrolnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tgohblio/instant-id-multicontrolnet:35324a7df2397e6e57dfd8f4f9d2910425f5123109c8c3ed035e769aeff9ff3c",
  {
    input: {
      adapter_strength_ratio: 0.8,
      canny: false,
      canny_strength: 0.5,
      depth_map: false,
      depth_strength: 0.5,
      enable_fast_mode: true,
      enhance_non_face_region: true,
      face_image_path: "https://replicate.delivery/pbxt/KRsl57SjTUo1WOBw1ir3UVI06jpQ7ybyEtdprpqF2qja40Wn/halle-berry.jpeg",
      guidance_scale: 7,
      identitynet_strength_ratio: 0.8,
      lightning_steps: "4step",
      model: "AlbedoBase XL V2",
      negative_prompt: "ugly, low quality, deformed face, nsfw",
      num_steps: 25,
      pose: false,
      pose_strength: 0.5,
      prompt: "woman as elven princess, with blue sheen dress, masterpiece",
      safety_checker: true,
      scheduler: "DPMSolverMultistepScheduler",
      seed: 0
    }
  }
);

// 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=r8_SOb**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run tgohblio/instant-id-multicontrolnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tgohblio/instant-id-multicontrolnet:35324a7df2397e6e57dfd8f4f9d2910425f5123109c8c3ed035e769aeff9ff3c",
    input={
        "adapter_strength_ratio": 0.8,
        "canny": False,
        "canny_strength": 0.5,
        "depth_map": False,
        "depth_strength": 0.5,
        "enable_fast_mode": True,
        "enhance_non_face_region": True,
        "face_image_path": "https://replicate.delivery/pbxt/KRsl57SjTUo1WOBw1ir3UVI06jpQ7ybyEtdprpqF2qja40Wn/halle-berry.jpeg",
        "guidance_scale": 7,
        "identitynet_strength_ratio": 0.8,
        "lightning_steps": "4step",
        "model": "AlbedoBase XL V2",
        "negative_prompt": "ugly, low quality, deformed face, nsfw",
        "num_steps": 25,
        "pose": False,
        "pose_strength": 0.5,
        "prompt": "woman as elven princess, with blue sheen dress, masterpiece",
        "safety_checker": True,
        "scheduler": "DPMSolverMultistepScheduler",
        "seed": 0
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.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_SOb**********************************

This is your API token. Keep it to yourself.

Run tgohblio/instant-id-multicontrolnet 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": "tgohblio/instant-id-multicontrolnet:35324a7df2397e6e57dfd8f4f9d2910425f5123109c8c3ed035e769aeff9ff3c",
    "input": {
      "adapter_strength_ratio": 0.8,
      "canny": false,
      "canny_strength": 0.5,
      "depth_map": false,
      "depth_strength": 0.5,
      "enable_fast_mode": true,
      "enhance_non_face_region": true,
      "face_image_path": "https://replicate.delivery/pbxt/KRsl57SjTUo1WOBw1ir3UVI06jpQ7ybyEtdprpqF2qja40Wn/halle-berry.jpeg",
      "guidance_scale": 7,
      "identitynet_strength_ratio": 0.8,
      "lightning_steps": "4step",
      "model": "AlbedoBase XL V2",
      "negative_prompt": "ugly, low quality, deformed face, nsfw",
      "num_steps": 25,
      "pose": false,
      "pose_strength": 0.5,
      "prompt": "woman as elven princess, with blue sheen dress, masterpiece",
      "safety_checker": true,
      "scheduler": "DPMSolverMultistepScheduler",
      "seed": 0
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "q5ypk1g4yhrgg0cf90wskpb96r",
  "model": "tgohblio/instant-id-multicontrolnet",
  "version": "35324a7df2397e6e57dfd8f4f9d2910425f5123109c8c3ed035e769aeff9ff3c",
  "input": {
    "adapter_strength_ratio": 0.8,
    "canny": false,
    "canny_strength": 0.5,
    "depth_map": false,
    "depth_strength": 0.5,
    "enable_fast_mode": true,
    "enhance_non_face_region": true,
    "face_image_path": "https://replicate.delivery/pbxt/KRsl57SjTUo1WOBw1ir3UVI06jpQ7ybyEtdprpqF2qja40Wn/halle-berry.jpeg",
    "guidance_scale": 7,
    "identitynet_strength_ratio": 0.8,
    "lightning_steps": "4step",
    "model": "AlbedoBase XL V2",
    "negative_prompt": "ugly, low quality, deformed face, nsfw",
    "num_steps": 25,
    "pose": false,
    "pose_strength": 0.5,
    "prompt": "woman as elven princess, with blue sheen dress, masterpiece",
    "safety_checker": true,
    "scheduler": "DPMSolverMultistepScheduler",
    "seed": 0
  },
  "logs": "/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\nTo use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\nP = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n  0%|          | 0/4 [00:00<?, ?it/s]\n 25%|██▌       | 1/4 [00:00<00:02,  1.36it/s]\n 50%|█████     | 2/4 [00:00<00:00,  2.32it/s]\n 75%|███████▌  | 3/4 [00:01<00:00,  2.99it/s]\n100%|██████████| 4/4 [00:01<00:00,  3.45it/s]\n100%|██████████| 4/4 [00:01<00:00,  2.87it/s]",
  "output": "https://replicate.delivery/pbxt/ykhrJWQyyEqEDZQsySpruv5fRKgFaDtjT35GgL5JEYDNkoYJA/result.jpg",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-05-05T10:07:27.476Z",
  "started_at": "2024-05-05T10:31:45.264778Z",
  "completed_at": "2024-05-05T10:31:55.025763Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/q5ypk1g4yhrgg0cf90wskpb96r/cancel",
    "get": "https://api.replicate.com/v1/predictions/q5ypk1g4yhrgg0cf90wskpb96r",
    "web": "https://replicate.com/p/q5ypk1g4yhrgg0cf90wskpb96r"
  },
  "metrics": {
    "predict_time": 9.760985,
    "total_time": 1467.549763
  }
}

Generated in

9.8 seconds

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