prompthero/openjourney:9936c200 – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

prompthero /openjourney:9936c200

Input

prompt

string

Shift + Return to add a new line

mdjrny-v4 style portrait of a gorgeous blond female in the style of stefan kostic, realistic, half body shot, sharp focus, 8 k high definition, insanely detailed, intricate, elegant, art by stanley lau and artgerm, extreme blur flames backgroundmdjrny-v4 style portrait of a gorgeous blond female in the style of stefan kostic, realistic, half body shot, sharp focus, 8 k high definition, insanely detailed, intricate, elegant, art by stanley lau and artgerm, extreme blur flames background

Input prompt

Default: "mdjrny-v4 style a highly detailed matte painting of a man on a hill watching a rocket launch in the distance by studio ghibli, makoto shinkai, by artgerm, by wlop, by greg rutkowski, volumetric lighting, octane render, 4 k resolution, trending on artstation, masterpiece"

width

integer

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 512

height

integer

Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 512

num_outputs

integer

Number of images to output

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 6

seed

integer

Random seed. Leave blank to randomize the seed

Run this model in Node.js with one line of code:

npx create-replicate --model=prompthero/openjourney

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run prompthero/openjourney using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prompthero/openjourney:9936c2001faa2194a261c01381f90e65261879985476014a0a37a334593a05eb",
  {
    input: {
      seed: 2913619048,
      width: 512,
      height: 512,
      prompt: "mdjrny-v4 style portrait of a gorgeous blond female in the style of stefan kostic, realistic, half body shot, sharp focus, 8 k high definition, insanely detailed, intricate, elegant, art by stanley lau and artgerm, extreme blur flames background",
      num_outputs: 1,
      guidance_scale: 17,
      num_inference_steps: 80
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run prompthero/openjourney using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prompthero/openjourney:9936c2001faa2194a261c01381f90e65261879985476014a0a37a334593a05eb",
    input={
        "seed": 2913619048,
        "width": 512,
        "height": 512,
        "prompt": "mdjrny-v4 style portrait of a gorgeous blond female in the style of stefan kostic, realistic, half body shot, sharp focus, 8 k high definition, insanely detailed, intricate, elegant, art by stanley lau and artgerm, extreme blur flames background",
        "num_outputs": 1,
        "guidance_scale": 17,
        "num_inference_steps": 80
    }
)
print(output)

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=<paste-your-token-here>

Find your API token in your account settings.

Run prompthero/openjourney 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": "prompthero/openjourney:9936c2001faa2194a261c01381f90e65261879985476014a0a37a334593a05eb",
    "input": {
      "seed": 2913619048,
      "width": 512,
      "height": 512,
      "prompt": "mdjrny-v4 style portrait of a gorgeous blond female in the style of stefan kostic, realistic, half body shot, sharp focus, 8 k high definition, insanely detailed, intricate, elegant, art by stanley lau and artgerm, extreme blur flames background",
      "num_outputs": 1,
      "guidance_scale": 17,
      "num_inference_steps": 80
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2022-11-15T02:31:03.248051Z",
  "created_at": "2022-11-15T02:30:56.510079Z",
  "data_removed": false,
  "error": null,
  "id": "jefzpom6xfb4jnrahybd6qtzia",
  "input": {
    "seed": 2913619048,
    "width": 512,
    "height": 512,
    "prompt": "mdjrny-v4 style portrait of a gorgeous blond female in the style of stefan kostic, realistic, half body shot, sharp focus, 8 k high definition, insanely detailed, intricate, elegant, art by stanley lau and artgerm, extreme blur flames background",
    "num_outputs": 1,
    "guidance_scale": "17",
    "num_inference_steps": "80"
  },
  "logs": "Using seed: 2913619048\nGlobal seed set to 2913619048\n  0%|          | 0/80 [00:00<?, ?it/s]\n  2%|▎         | 2/80 [00:00<00:06, 12.79it/s]\n  5%|▌         | 4/80 [00:00<00:05, 13.59it/s]\n  8%|▊         | 6/80 [00:00<00:05, 13.92it/s]\n 10%|█         | 8/80 [00:00<00:05, 14.06it/s]\n 12%|█▎        | 10/80 [00:00<00:04, 14.13it/s]\n 15%|█▌        | 12/80 [00:00<00:04, 14.18it/s]\n 18%|█▊        | 14/80 [00:00<00:04, 14.20it/s]\n 20%|██        | 16/80 [00:01<00:04, 13.89it/s]\n 22%|██▎       | 18/80 [00:01<00:04, 14.01it/s]\n 25%|██▌       | 20/80 [00:01<00:04, 14.09it/s]\n 28%|██▊       | 22/80 [00:01<00:04, 14.21it/s]\n 30%|███       | 24/80 [00:01<00:03, 14.26it/s]\n 32%|███▎      | 26/80 [00:01<00:03, 14.25it/s]\n 35%|███▌      | 28/80 [00:01<00:03, 14.28it/s]\n 38%|███▊      | 30/80 [00:02<00:03, 14.32it/s]\n 40%|████      | 32/80 [00:02<00:03, 14.33it/s]\n 42%|████▎     | 34/80 [00:02<00:03, 14.18it/s]\n 45%|████▌     | 36/80 [00:02<00:03, 14.14it/s]\n 48%|████▊     | 38/80 [00:02<00:02, 14.17it/s]\n 50%|█████     | 40/80 [00:02<00:02, 14.12it/s]\n 52%|█████▎    | 42/80 [00:02<00:02, 14.17it/s]\n 55%|█████▌    | 44/80 [00:03<00:02, 14.20it/s]\n 57%|█████▊    | 46/80 [00:03<00:02, 14.20it/s]\n 60%|██████    | 48/80 [00:03<00:02, 14.21it/s]\n 62%|██████▎   | 50/80 [00:03<00:02, 14.21it/s]\n 65%|██████▌   | 52/80 [00:03<00:01, 14.24it/s]\n 68%|██████▊   | 54/80 [00:03<00:01, 14.24it/s]\n 70%|███████   | 56/80 [00:03<00:01, 14.26it/s]\n 72%|███████▎  | 58/80 [00:04<00:01, 14.28it/s]\n 75%|███████▌  | 60/80 [00:04<00:01, 14.29it/s]\n 78%|███████▊  | 62/80 [00:04<00:01, 14.29it/s]\n 80%|████████  | 64/80 [00:04<00:01, 14.25it/s]\n 82%|████████▎ | 66/80 [00:04<00:00, 14.26it/s]\n 85%|████████▌ | 68/80 [00:04<00:00, 14.18it/s]\n 88%|████████▊ | 70/80 [00:04<00:00, 14.22it/s]\n 90%|█████████ | 72/80 [00:05<00:00, 14.17it/s]\n 92%|█████████▎| 74/80 [00:05<00:00, 14.10it/s]\n 95%|█████████▌| 76/80 [00:05<00:00, 13.99it/s]\n 98%|█████████▊| 78/80 [00:05<00:00, 13.94it/s]\n100%|██████████| 80/80 [00:05<00:00, 13.87it/s]\n100%|██████████| 80/80 [00:05<00:00, 14.13it/s]",
  "metrics": {
    "predict_time": 6.698847,
    "total_time": 6.737972
  },
  "output": [
    "https://replicate.delivery/pbxt/5XQKeuiuWOy4Gy8SIIAp0t4cGJcB5CdEYptGTNxY2WQzXFAIA/out-0.png"
  ],
  "started_at": "2022-11-15T02:30:56.549204Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/jefzpom6xfb4jnrahybd6qtzia",
    "cancel": "https://api.replicate.com/v1/predictions/jefzpom6xfb4jnrahybd6qtzia/cancel"
  },
  "version": "9936c2001faa2194a261c01381f90e65261879985476014a0a37a334593a05eb"
}

Generated in

6.7 seconds

Tweak itReport

Using seed: 2913619048
Global seed set to 2913619048
  0%|          | 0/80 [00:00<?, ?it/s]
  2%|▎         | 2/80 [00:00<00:06, 12.79it/s]
  5%|▌         | 4/80 [00:00<00:05, 13.59it/s]
  8%|▊         | 6/80 [00:00<00:05, 13.92it/s]
 10%|█         | 8/80 [00:00<00:05, 14.06it/s]
 12%|█▎        | 10/80 [00:00<00:04, 14.13it/s]
 15%|█▌        | 12/80 [00:00<00:04, 14.18it/s]
 18%|█▊        | 14/80 [00:00<00:04, 14.20it/s]
 20%|██        | 16/80 [00:01<00:04, 13.89it/s]
 22%|██▎       | 18/80 [00:01<00:04, 14.01it/s]
 25%|██▌       | 20/80 [00:01<00:04, 14.09it/s]
 28%|██▊       | 22/80 [00:01<00:04, 14.21it/s]
 30%|███       | 24/80 [00:01<00:03, 14.26it/s]
 32%|███▎      | 26/80 [00:01<00:03, 14.25it/s]
 35%|███▌      | 28/80 [00:01<00:03, 14.28it/s]
 38%|███▊      | 30/80 [00:02<00:03, 14.32it/s]
 40%|████      | 32/80 [00:02<00:03, 14.33it/s]
 42%|████▎     | 34/80 [00:02<00:03, 14.18it/s]
 45%|████▌     | 36/80 [00:02<00:03, 14.14it/s]
 48%|████▊     | 38/80 [00:02<00:02, 14.17it/s]
 50%|█████     | 40/80 [00:02<00:02, 14.12it/s]
 52%|█████▎    | 42/80 [00:02<00:02, 14.17it/s]
 55%|█████▌    | 44/80 [00:03<00:02, 14.20it/s]
 57%|█████▊    | 46/80 [00:03<00:02, 14.20it/s]
 60%|██████    | 48/80 [00:03<00:02, 14.21it/s]
 62%|██████▎   | 50/80 [00:03<00:02, 14.21it/s]
 65%|██████▌   | 52/80 [00:03<00:01, 14.24it/s]
 68%|██████▊   | 54/80 [00:03<00:01, 14.24it/s]
 70%|███████   | 56/80 [00:03<00:01, 14.26it/s]
 72%|███████▎  | 58/80 [00:04<00:01, 14.28it/s]
 75%|███████▌  | 60/80 [00:04<00:01, 14.29it/s]
 78%|███████▊  | 62/80 [00:04<00:01, 14.29it/s]
 80%|████████  | 64/80 [00:04<00:01, 14.25it/s]
 82%|████████▎ | 66/80 [00:04<00:00, 14.26it/s]
 85%|████████▌ | 68/80 [00:04<00:00, 14.18it/s]
 88%|████████▊ | 70/80 [00:04<00:00, 14.22it/s]
 90%|█████████ | 72/80 [00:05<00:00, 14.17it/s]
 92%|█████████▎| 74/80 [00:05<00:00, 14.10it/s]
 95%|█████████▌| 76/80 [00:05<00:00, 13.99it/s]
 98%|█████████▊| 78/80 [00:05<00:00, 13.94it/s]
100%|██████████| 80/80 [00:05<00:00, 13.87it/s]
100%|██████████| 80/80 [00:05<00:00, 14.13it/s]