Prediction

usamaehsan/instant-id-x-juggernaut:3af6cc3f0b1491a877230dbc31554c6303b786d46f1c0926ff5cd36cdd0f02a2

Model

usamaehsan/instant-id-x-juggernaut:3af6cc3f

ID

2pzv4stboj3qydc3dvd5bppe7u

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3m 14s

Created

over 1 year ago

Input

image
width: 1051
height: 1040
prompt: This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait
max_side: 1280
min_side: 1024
scheduler: UniPCMultistep
resize_image
guidance_scale: 3.5
negative_prompt
ip_adapter_scale: 1
enhance_face_region
num_inference_steps: 10
micro_detail_lora_weight: 0
controlnet_conditioning_scale: 0.6

{
  "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
  "width": 1051,
  "height": 1040,
  "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
  "max_side": 1280,
  "min_side": 1024,
  "scheduler": "UniPCMultistep",
  "resize_image": true,
  "guidance_scale": 3.5,
  "negative_prompt": "",
  "ip_adapter_scale": 1,
  "enhance_face_region": true,
  "num_inference_steps": 10,
  "micro_detail_lora_weight": 0,
  "controlnet_conditioning_scale": 0.6
}

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

const output = await replicate.run(
  "usamaehsan/instant-id-x-juggernaut:3af6cc3f0b1491a877230dbc31554c6303b786d46f1c0926ff5cd36cdd0f02a2",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
      width: 1051,
      height: 1040,
      prompt: "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
      max_side: 1280,
      min_side: 1024,
      scheduler: "UniPCMultistep",
      resize_image: true,
      guidance_scale: 3.5,
      negative_prompt: "",
      ip_adapter_scale: 1,
      enhance_face_region: true,
      num_inference_steps: 10,
      micro_detail_lora_weight: 0,
      controlnet_conditioning_scale: 0.6
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "usamaehsan/instant-id-x-juggernaut:3af6cc3f0b1491a877230dbc31554c6303b786d46f1c0926ff5cd36cdd0f02a2",
    input={
        "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
        "width": 1051,
        "height": 1040,
        "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
        "max_side": 1280,
        "min_side": 1024,
        "scheduler": "UniPCMultistep",
        "resize_image": True,
        "guidance_scale": 3.5,
        "negative_prompt": "",
        "ip_adapter_scale": 1,
        "enhance_face_region": True,
        "num_inference_steps": 10,
        "micro_detail_lora_weight": 0,
        "controlnet_conditioning_scale": 0.6
    }
)

# 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.

Run usamaehsan/instant-id-x-juggernaut 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": "usamaehsan/instant-id-x-juggernaut:3af6cc3f0b1491a877230dbc31554c6303b786d46f1c0926ff5cd36cdd0f02a2",
    "input": {
      "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
      "width": 1051,
      "height": 1040,
      "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
      "max_side": 1280,
      "min_side": 1024,
      "scheduler": "UniPCMultistep",
      "resize_image": true,
      "guidance_scale": 3.5,
      "negative_prompt": "",
      "ip_adapter_scale": 1,
      "enhance_face_region": true,
      "num_inference_steps": 10,
      "micro_detail_lora_weight": 0,
      "controlnet_conditioning_scale": 0.6
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-02T09:55:24.702603Z",
  "created_at": "2024-02-02T09:52:10.256367Z",
  "data_removed": false,
  "error": null,
  "id": "2pzv4stboj3qydc3dvd5bppe7u",
  "input": {
    "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
    "width": 1051,
    "height": 1040,
    "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
    "max_side": 1280,
    "min_side": 1024,
    "scheduler": "UniPCMultistep",
    "resize_image": true,
    "guidance_scale": 3.5,
    "negative_prompt": "",
    "ip_adapter_scale": 1,
    "enhance_face_region": true,
    "num_inference_steps": 10,
    "micro_detail_lora_weight": 0,
    "controlnet_conditioning_scale": 0.6
  },
  "logs": "[!] Resizing output to 1051x1040\nset det-size: (1051, 1040)\nwarning: det_size is already set in detection model, ignore\nTime taken to resize image-- : -0.03 seconds\n/root/.pyenv/versions/3.11.7/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\nTime taken to get face info-- : -6.44 seconds\nTime taken to draw kps-- : -0.14 seconds\nTime taken to enhance face region-- : -0.01 seconds\n  0%|          | 0/10 [00:00<?, ?it/s]\n 10%|█         | 1/10 [00:02<00:25,  2.80s/it]\n 20%|██        | 2/10 [00:03<00:12,  1.55s/it]\n 30%|███       | 3/10 [00:04<00:08,  1.16s/it]\n 40%|████      | 4/10 [00:04<00:05,  1.04it/s]\n 50%|█████     | 5/10 [00:05<00:04,  1.16it/s]\n 60%|██████    | 6/10 [00:06<00:03,  1.26it/s]\n 70%|███████   | 7/10 [00:06<00:02,  1.32it/s]\n 80%|████████  | 8/10 [00:07<00:01,  1.37it/s]\n 90%|█████████ | 9/10 [00:08<00:00,  1.40it/s]\n100%|██████████| 10/10 [00:08<00:00,  1.43it/s]\n100%|██████████| 10/10 [00:08<00:00,  1.13it/s]\n/root/.pyenv/versions/3.11.7/lib/python3.11/site-packages/peft/tuners/lora/layer.py:595: UserWarning: Already unmerged. Nothing to do.\nwarnings.warn(\"Already unmerged. Nothing to do.\")\n/root/.pyenv/versions/3.11.7/lib/python3.11/site-packages/peft/tuners/lora/layer.py:256: UserWarning: Already unmerged. Nothing to do.\nwarnings.warn(\"Already unmerged. Nothing to do.\")",
  "metrics": {
    "predict_time": 18.86616,
    "total_time": 194.446236
  },
  "output": "https://replicate.delivery/pbxt/GmXcXWqOpwoFGFfpmqE8Rt2Twh7hx5YgY2MYN7odYt2FcTJJA/result.jpg",
  "started_at": "2024-02-02T09:55:05.836443Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/2pzv4stboj3qydc3dvd5bppe7u",
    "cancel": "https://api.replicate.com/v1/predictions/2pzv4stboj3qydc3dvd5bppe7u/cancel"
  },
  "version": "3af6cc3f0b1491a877230dbc31554c6303b786d46f1c0926ff5cd36cdd0f02a2"
}

Generated in

18.9 seconds

Tweak it Iterate in playground Share Report

Prediction

usamaehsan/instant-id-x-juggernaut:0e2f102f87cf9a0c119af7bc025607d55eb83f342552c2029a61b095171d776a

Model

usamaehsan/instant-id-x-juggernaut:0e2f102f

ID

fpg7zutbowyja6b3zqo6zfa7ry

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 18s

Created

over 1 year ago

Input

image
width: 1051
height: 1040
prompt: This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait
get_age
max_side: 1024
min_side: 1024
scheduler: K_EULER_ANCESTRAL
use_gfpgan
resize_image
guidance_scale: 3.5
negative_prompt
ip_adapter_scale: 1
enhance_face_region
num_inference_steps: 10
use_controlnet_pose
micro_detail_lora_weight: 0
controlnet_conditioning_scale: 0.6
pose_controlnet_conditioning_scale: 0.8

{
  "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
  "width": 1051,
  "height": 1040,
  "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
  "get_age": false,
  "max_side": 1024,
  "min_side": 1024,
  "scheduler": "K_EULER_ANCESTRAL",
  "use_gfpgan": false,
  "resize_image": true,
  "guidance_scale": 3.5,
  "negative_prompt": "",
  "ip_adapter_scale": 1,
  "enhance_face_region": true,
  "num_inference_steps": 10,
  "use_controlnet_pose": false,
  "micro_detail_lora_weight": 0,
  "controlnet_conditioning_scale": 0.6,
  "pose_controlnet_conditioning_scale": 0.8
}

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

const output = await replicate.run(
  "usamaehsan/instant-id-x-juggernaut:0e2f102f87cf9a0c119af7bc025607d55eb83f342552c2029a61b095171d776a",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
      width: 1051,
      height: 1040,
      prompt: "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
      get_age: false,
      max_side: 1024,
      min_side: 1024,
      scheduler: "K_EULER_ANCESTRAL",
      use_gfpgan: false,
      resize_image: true,
      guidance_scale: 3.5,
      negative_prompt: "",
      ip_adapter_scale: 1,
      enhance_face_region: true,
      num_inference_steps: 10,
      use_controlnet_pose: false,
      micro_detail_lora_weight: 0,
      controlnet_conditioning_scale: 0.6,
      pose_controlnet_conditioning_scale: 0.8
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "usamaehsan/instant-id-x-juggernaut:0e2f102f87cf9a0c119af7bc025607d55eb83f342552c2029a61b095171d776a",
    input={
        "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
        "width": 1051,
        "height": 1040,
        "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
        "get_age": False,
        "max_side": 1024,
        "min_side": 1024,
        "scheduler": "K_EULER_ANCESTRAL",
        "use_gfpgan": False,
        "resize_image": True,
        "guidance_scale": 3.5,
        "negative_prompt": "",
        "ip_adapter_scale": 1,
        "enhance_face_region": True,
        "num_inference_steps": 10,
        "use_controlnet_pose": False,
        "micro_detail_lora_weight": 0,
        "controlnet_conditioning_scale": 0.6,
        "pose_controlnet_conditioning_scale": 0.8
    }
)

# 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.

Run usamaehsan/instant-id-x-juggernaut 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": "usamaehsan/instant-id-x-juggernaut:0e2f102f87cf9a0c119af7bc025607d55eb83f342552c2029a61b095171d776a",
    "input": {
      "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
      "width": 1051,
      "height": 1040,
      "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
      "get_age": false,
      "max_side": 1024,
      "min_side": 1024,
      "scheduler": "K_EULER_ANCESTRAL",
      "use_gfpgan": false,
      "resize_image": true,
      "guidance_scale": 3.5,
      "negative_prompt": "",
      "ip_adapter_scale": 1,
      "enhance_face_region": true,
      "num_inference_steps": 10,
      "use_controlnet_pose": false,
      "micro_detail_lora_weight": 0,
      "controlnet_conditioning_scale": 0.6,
      "pose_controlnet_conditioning_scale": 0.8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-23T00:00:38.165273Z",
  "created_at": "2024-02-22T23:58:20.353981Z",
  "data_removed": false,
  "error": null,
  "id": "fpg7zutbowyja6b3zqo6zfa7ry",
  "input": {
    "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
    "width": 1051,
    "height": 1040,
    "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
    "get_age": false,
    "max_side": 1024,
    "min_side": 1024,
    "scheduler": "K_EULER_ANCESTRAL",
    "use_gfpgan": false,
    "resize_image": true,
    "guidance_scale": 3.5,
    "negative_prompt": "",
    "ip_adapter_scale": 1,
    "enhance_face_region": true,
    "num_inference_steps": 10,
    "use_controlnet_pose": false,
    "micro_detail_lora_weight": 0,
    "controlnet_conditioning_scale": 0.6,
    "pose_controlnet_conditioning_scale": 0.8
  },
  "logs": "Time taken to resize image-- : -0.01 seconds\n/root/.pyenv/versions/3.11.8/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\nTime taken to get face info-- : -8.28 seconds\nTime taken to enhance face region-- : -0.02 seconds\nTime taken to draw kps-- : -0.05 seconds\n  0%|          | 0/10 [00:00<?, ?it/s]\n 10%|█         | 1/10 [00:00<00:02,  3.50it/s]\n 20%|██        | 2/10 [00:00<00:02,  3.48it/s]\n 30%|███       | 3/10 [00:00<00:02,  3.37it/s]\n 40%|████      | 4/10 [00:01<00:01,  3.29it/s]\n 50%|█████     | 5/10 [00:01<00:01,  3.27it/s]\n 60%|██████    | 6/10 [00:01<00:01,  3.26it/s]\n 70%|███████   | 7/10 [00:02<00:00,  3.24it/s]\n 80%|████████  | 8/10 [00:02<00:00,  3.23it/s]\n 90%|█████████ | 9/10 [00:02<00:00,  3.23it/s]\n100%|██████████| 10/10 [00:03<00:00,  3.22it/s]\n100%|██████████| 10/10 [00:03<00:00,  3.27it/s]",
  "metrics": {
    "predict_time": 26.578611,
    "total_time": 137.811292
  },
  "output": "https://replicate.delivery/pbxt/6LTP9yQxKe1fh0cyrqi9YCkByDYaUWAMHIJpU566TxPaIZZSA/result.jpg",
  "started_at": "2024-02-23T00:00:11.586662Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/fpg7zutbowyja6b3zqo6zfa7ry",
    "cancel": "https://api.replicate.com/v1/predictions/fpg7zutbowyja6b3zqo6zfa7ry/cancel"
  },
  "version": "0e2f102f87cf9a0c119af7bc025607d55eb83f342552c2029a61b095171d776a"
}

Generated in

26.6 seconds

Tweak it Iterate in playground Share Report

Prediction

usamaehsan/instant-id-x-juggernaut:3e546b3409dfa492b72562f368da5381515381785460f441efa7ce1a23260aef

Model

usamaehsan/instant-id-x-juggernaut:3e546b34

ID

5d4ytm3ba5v6h53nvmf5l2ggia

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

9.8s

Created

over 1 year ago

Input

image
width: 640
height: 640
prompt: This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait
get_age
max_side: 1024
min_side: 1024
scheduler: K_EULER_ANCESTRAL
use_gfpgan
resize_image
guidance_scale: 3.5
negative_prompt
ip_adapter_scale: 1
enhance_face_region
num_inference_steps: 10
use_controlnet_pose
lightning_lora_weight: 0
micro_detail_lora_weight: 0
controlnet_conditioning_scale: 0.6
pose_controlnet_conditioning_scale: 0.8

{
  "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
  "width": 640,
  "height": 640,
  "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
  "get_age": false,
  "max_side": 1024,
  "min_side": 1024,
  "scheduler": "K_EULER_ANCESTRAL",
  "use_gfpgan": false,
  "resize_image": true,
  "guidance_scale": 3.5,
  "negative_prompt": "",
  "ip_adapter_scale": 1,
  "enhance_face_region": false,
  "num_inference_steps": 10,
  "use_controlnet_pose": false,
  "lightning_lora_weight": 0,
  "micro_detail_lora_weight": 0,
  "controlnet_conditioning_scale": 0.6,
  "pose_controlnet_conditioning_scale": 0.8
}

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

const output = await replicate.run(
  "usamaehsan/instant-id-x-juggernaut:3e546b3409dfa492b72562f368da5381515381785460f441efa7ce1a23260aef",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
      width: 640,
      height: 640,
      prompt: "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
      get_age: false,
      max_side: 1024,
      min_side: 1024,
      scheduler: "K_EULER_ANCESTRAL",
      use_gfpgan: false,
      resize_image: true,
      guidance_scale: 3.5,
      negative_prompt: "",
      ip_adapter_scale: 1,
      enhance_face_region: false,
      num_inference_steps: 10,
      use_controlnet_pose: false,
      lightning_lora_weight: 0,
      micro_detail_lora_weight: 0,
      controlnet_conditioning_scale: 0.6,
      pose_controlnet_conditioning_scale: 0.8
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "usamaehsan/instant-id-x-juggernaut:3e546b3409dfa492b72562f368da5381515381785460f441efa7ce1a23260aef",
    input={
        "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
        "width": 640,
        "height": 640,
        "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
        "get_age": False,
        "max_side": 1024,
        "min_side": 1024,
        "scheduler": "K_EULER_ANCESTRAL",
        "use_gfpgan": False,
        "resize_image": True,
        "guidance_scale": 3.5,
        "negative_prompt": "",
        "ip_adapter_scale": 1,
        "enhance_face_region": False,
        "num_inference_steps": 10,
        "use_controlnet_pose": False,
        "lightning_lora_weight": 0,
        "micro_detail_lora_weight": 0,
        "controlnet_conditioning_scale": 0.6,
        "pose_controlnet_conditioning_scale": 0.8
    }
)

# 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.

Run usamaehsan/instant-id-x-juggernaut 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": "usamaehsan/instant-id-x-juggernaut:3e546b3409dfa492b72562f368da5381515381785460f441efa7ce1a23260aef",
    "input": {
      "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
      "width": 640,
      "height": 640,
      "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
      "get_age": false,
      "max_side": 1024,
      "min_side": 1024,
      "scheduler": "K_EULER_ANCESTRAL",
      "use_gfpgan": false,
      "resize_image": true,
      "guidance_scale": 3.5,
      "negative_prompt": "",
      "ip_adapter_scale": 1,
      "enhance_face_region": false,
      "num_inference_steps": 10,
      "use_controlnet_pose": false,
      "lightning_lora_weight": 0,
      "micro_detail_lora_weight": 0,
      "controlnet_conditioning_scale": 0.6,
      "pose_controlnet_conditioning_scale": 0.8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-23T00:31:28.892727Z",
  "created_at": "2024-02-23T00:31:19.055522Z",
  "data_removed": false,
  "error": null,
  "id": "5d4ytm3ba5v6h53nvmf5l2ggia",
  "input": {
    "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
    "width": 640,
    "height": 640,
    "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
    "get_age": false,
    "max_side": 1024,
    "min_side": 1024,
    "scheduler": "K_EULER_ANCESTRAL",
    "use_gfpgan": false,
    "resize_image": true,
    "guidance_scale": 3.5,
    "negative_prompt": "",
    "ip_adapter_scale": 1,
    "enhance_face_region": false,
    "num_inference_steps": 10,
    "use_controlnet_pose": false,
    "lightning_lora_weight": 0,
    "micro_detail_lora_weight": 0,
    "controlnet_conditioning_scale": 0.6,
    "pose_controlnet_conditioning_scale": 0.8
  },
  "logs": "Time taken to resize image-- : -0.01 seconds\nTime taken to get face info-- : -4.58 seconds\nTime taken to draw kps-- : -0.14 seconds\n  0%|          | 0/10 [00:00<?, ?it/s]\n 10%|█         | 1/10 [00:00<00:02,  4.24it/s]\n 20%|██        | 2/10 [00:00<00:02,  3.62it/s]\n 30%|███       | 3/10 [00:00<00:02,  3.43it/s]\n 40%|████      | 4/10 [00:01<00:01,  3.35it/s]\n 50%|█████     | 5/10 [00:01<00:01,  3.31it/s]\n 60%|██████    | 6/10 [00:01<00:01,  3.29it/s]\n 70%|███████   | 7/10 [00:02<00:00,  3.28it/s]\n 80%|████████  | 8/10 [00:02<00:00,  3.27it/s]\n 90%|█████████ | 9/10 [00:02<00:00,  3.26it/s]\n100%|██████████| 10/10 [00:03<00:00,  3.24it/s]\n100%|██████████| 10/10 [00:03<00:00,  3.32it/s]",
  "metrics": {
    "predict_time": 9.736544,
    "total_time": 9.837205
  },
  "output": "https://replicate.delivery/pbxt/jCG6hRYdesXLLCfVye0uim4DLZn1W5rq7A4J1q839Y2BLzykA/result.jpg",
  "started_at": "2024-02-23T00:31:19.156183Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/5d4ytm3ba5v6h53nvmf5l2ggia",
    "cancel": "https://api.replicate.com/v1/predictions/5d4ytm3ba5v6h53nvmf5l2ggia/cancel"
  },
  "version": "3e546b3409dfa492b72562f368da5381515381785460f441efa7ce1a23260aef"
}

Generated in

9.7 seconds

Tweak it Iterate in playground Share Report

Prediction

usamaehsan/instant-id-x-juggernaut:60459a4714c3615e15fca0284c90da146133e8abdeb40f3cc1ef08b2a85ceb6c

Model

usamaehsan/instant-id-x-juggernaut:60459a47

ID

crkwxqdbkyol6s53mfm2ak6ejq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

6m 29s

Created

over 1 year ago

Input

image
width: 1051
height: 1040
prompt: This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait
get_age
max_side: 1280
min_side: 1024
scheduler: UniPCMultistep
use_gfpgan
resize_image
guidance_scale: 3.5
negative_prompt
ip_adapter_scale: 1
enhance_face_region
num_inference_steps: 10
use_controlnet_pose
lightning_lora_weight: 1
micro_detail_lora_weight: 0
controlnet_conditioning_scale: 0.6
pose_controlnet_conditioning_scale: 0.8

{
  "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
  "width": 1051,
  "height": 1040,
  "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
  "get_age": true,
  "max_side": 1280,
  "min_side": 1024,
  "scheduler": "UniPCMultistep",
  "use_gfpgan": false,
  "resize_image": true,
  "guidance_scale": 3.5,
  "negative_prompt": "",
  "ip_adapter_scale": 1,
  "enhance_face_region": true,
  "num_inference_steps": 10,
  "use_controlnet_pose": true,
  "lightning_lora_weight": 1,
  "micro_detail_lora_weight": 0,
  "controlnet_conditioning_scale": 0.6,
  "pose_controlnet_conditioning_scale": 0.8
}

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

const output = await replicate.run(
  "usamaehsan/instant-id-x-juggernaut:60459a4714c3615e15fca0284c90da146133e8abdeb40f3cc1ef08b2a85ceb6c",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
      width: 1051,
      height: 1040,
      prompt: "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
      get_age: true,
      max_side: 1280,
      min_side: 1024,
      scheduler: "UniPCMultistep",
      use_gfpgan: false,
      resize_image: true,
      guidance_scale: 3.5,
      negative_prompt: "",
      ip_adapter_scale: 1,
      enhance_face_region: true,
      num_inference_steps: 10,
      use_controlnet_pose: true,
      lightning_lora_weight: 1,
      micro_detail_lora_weight: 0,
      controlnet_conditioning_scale: 0.6,
      pose_controlnet_conditioning_scale: 0.8
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "usamaehsan/instant-id-x-juggernaut:60459a4714c3615e15fca0284c90da146133e8abdeb40f3cc1ef08b2a85ceb6c",
    input={
        "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
        "width": 1051,
        "height": 1040,
        "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
        "get_age": True,
        "max_side": 1280,
        "min_side": 1024,
        "scheduler": "UniPCMultistep",
        "use_gfpgan": False,
        "resize_image": True,
        "guidance_scale": 3.5,
        "negative_prompt": "",
        "ip_adapter_scale": 1,
        "enhance_face_region": True,
        "num_inference_steps": 10,
        "use_controlnet_pose": True,
        "lightning_lora_weight": 1,
        "micro_detail_lora_weight": 0,
        "controlnet_conditioning_scale": 0.6,
        "pose_controlnet_conditioning_scale": 0.8
    }
)

# 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.

Run usamaehsan/instant-id-x-juggernaut 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": "usamaehsan/instant-id-x-juggernaut:60459a4714c3615e15fca0284c90da146133e8abdeb40f3cc1ef08b2a85ceb6c",
    "input": {
      "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
      "width": 1051,
      "height": 1040,
      "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
      "get_age": true,
      "max_side": 1280,
      "min_side": 1024,
      "scheduler": "UniPCMultistep",
      "use_gfpgan": false,
      "resize_image": true,
      "guidance_scale": 3.5,
      "negative_prompt": "",
      "ip_adapter_scale": 1,
      "enhance_face_region": true,
      "num_inference_steps": 10,
      "use_controlnet_pose": true,
      "lightning_lora_weight": 1,
      "micro_detail_lora_weight": 0,
      "controlnet_conditioning_scale": 0.6,
      "pose_controlnet_conditioning_scale": 0.8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-03-08T07:23:27.318575Z",
  "created_at": "2024-03-08T07:16:57.872473Z",
  "data_removed": false,
  "error": null,
  "id": "crkwxqdbkyol6s53mfm2ak6ejq",
  "input": {
    "image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
    "width": 1051,
    "height": 1040,
    "prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
    "get_age": true,
    "max_side": 1280,
    "min_side": 1024,
    "scheduler": "UniPCMultistep",
    "use_gfpgan": false,
    "resize_image": true,
    "guidance_scale": 3.5,
    "negative_prompt": "",
    "ip_adapter_scale": 1,
    "enhance_face_region": true,
    "num_inference_steps": 10,
    "use_controlnet_pose": true,
    "lightning_lora_weight": 1,
    "micro_detail_lora_weight": 0,
    "controlnet_conditioning_scale": 0.6,
    "pose_controlnet_conditioning_scale": 0.8
  },
  "logs": "[!] Resizing output to 1051x1040\nset det-size: (1051, 1040)\nwarning: det_size is already set in detection model, ignore\nTime taken to resize image-- : -0.04 seconds\n/root/.pyenv/versions/3.11.8/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\nTime taken to get face info-- : -4.69 seconds\nTime taken to enhance face region-- : -0.09 seconds\nTime taken to draw kps-- : -0.06 seconds\n  0%|          | 0/10 [00:00<?, ?it/s]\n 10%|█         | 1/10 [00:00<00:05,  1.68it/s]\n 20%|██        | 2/10 [00:01<00:04,  1.81it/s]\n 30%|███       | 3/10 [00:01<00:04,  1.68it/s]\n 40%|████      | 4/10 [00:02<00:03,  1.77it/s]\n 50%|█████     | 5/10 [00:02<00:02,  1.82it/s]\n 60%|██████    | 6/10 [00:03<00:02,  1.85it/s]\n 70%|███████   | 7/10 [00:03<00:01,  1.88it/s]\n 80%|████████  | 8/10 [00:04<00:01,  1.89it/s]\n 90%|█████████ | 9/10 [00:04<00:00,  1.90it/s]\n100%|██████████| 10/10 [00:05<00:00,  1.91it/s]\n100%|██████████| 10/10 [00:05<00:00,  1.85it/s]",
  "metrics": {
    "predict_time": 13.790888,
    "total_time": 389.446102
  },
  "output": "https://replicate.delivery/pbxt/ONpHgyo3INpffESDToUravdgGFdo7gxSXe33nOwP6Fqd3N8kA/result.jpg",
  "started_at": "2024-03-08T07:23:13.527687Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/crkwxqdbkyol6s53mfm2ak6ejq",
    "cancel": "https://api.replicate.com/v1/predictions/crkwxqdbkyol6s53mfm2ak6ejq/cancel"
  },
  "version": "60459a4714c3615e15fca0284c90da146133e8abdeb40f3cc1ef08b2a85ceb6c"
}

Generated in

13.8 seconds

Tweak it Iterate in playground Share Report

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (2pzv4stboj3qydc3dvd5bppe7u)

Logs (fpg7zutbowyja6b3zqo6zfa7ry)

Logs (5d4ytm3ba5v6h53nvmf5l2ggia)

Logs (crkwxqdbkyol6s53mfm2ak6ejq)