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

devil of the old world, awake under the sea, emanating dark energy, terrible presence, arcane magic, intricate artwork . octane render, trending on artstation. cinematic, hyper realism, high detail, octane render, 8kdevil of the old world, awake under the sea, emanating dark energy, terrible presence, arcane magic, intricate artwork . octane render, trending on artstation. cinematic, hyper realism, high detail, octane render, 8k

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: 55440,
      width: 512,
      height: 512,
      prompt: "devil of the old world, awake under the sea, emanating dark energy, terrible presence, arcane magic, intricate artwork . octane render, trending on artstation. cinematic, hyper realism, high detail, octane render, 8k",
      num_outputs: 1,
      guidance_scale: 7.5,
      num_inference_steps: 70
    }
  }
);

// 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": 55440,
        "width": 512,
        "height": 512,
        "prompt": "devil of the old world, awake under the sea, emanating dark energy, terrible presence, arcane magic, intricate artwork . octane render, trending on artstation. cinematic, hyper realism, high detail, octane render, 8k",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "num_inference_steps": 70
    }
)
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": 55440,
      "width": 512,
      "height": 512,
      "prompt": "devil of the old world, awake under the sea, emanating dark energy, terrible presence, arcane magic, intricate artwork . octane render, trending on artstation. cinematic, hyper realism, high detail, octane render, 8k",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "num_inference_steps": 70
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2022-11-15T10:52:42.876486Z",
  "created_at": "2022-11-15T10:51:55.188253Z",
  "data_removed": false,
  "error": null,
  "id": "iv4sclcm6jgydotukqkxtjkl6e",
  "input": {
    "seed": 55440,
    "width": 512,
    "height": 512,
    "prompt": "devil of the old world, awake under the sea, emanating dark energy, terrible presence, arcane magic, intricate artwork . octane render, trending on artstation. cinematic, hyper realism, high detail, octane render, 8k",
    "num_outputs": 1,
    "guidance_scale": "7.5",
    "num_inference_steps": "70"
  },
  "logs": "Using seed: 55440\nGlobal seed set to 55440\n  0%|          | 0/70 [00:00<?, ?it/s]\n  1%|▏         | 1/70 [00:01<01:19,  1.15s/it]\n  4%|▍         | 3/70 [00:01<00:23,  2.83it/s]\n  7%|▋         | 5/70 [00:01<00:13,  4.79it/s]\n 10%|█         | 7/70 [00:01<00:09,  6.58it/s]\n 13%|█▎        | 9/70 [00:01<00:07,  8.23it/s]\n 16%|█▌        | 11/70 [00:01<00:06,  9.63it/s]\n 19%|█▊        | 13/70 [00:02<00:05, 10.71it/s]\n 21%|██▏       | 15/70 [00:02<00:04, 11.40it/s]\n 24%|██▍       | 17/70 [00:02<00:04, 12.02it/s]\n 27%|██▋       | 19/70 [00:02<00:04, 12.52it/s]\n 30%|███       | 21/70 [00:02<00:03, 12.69it/s]\n 33%|███▎      | 23/70 [00:02<00:03, 12.82it/s]\n 36%|███▌      | 25/70 [00:02<00:03, 13.13it/s]\n 39%|███▊      | 27/70 [00:03<00:03, 13.22it/s]\n 41%|████▏     | 29/70 [00:03<00:03, 13.43it/s]\n 44%|████▍     | 31/70 [00:03<00:02, 13.56it/s]\n 47%|████▋     | 33/70 [00:03<00:02, 13.71it/s]\n 50%|█████     | 35/70 [00:03<00:02, 13.36it/s]\n 53%|█████▎    | 37/70 [00:03<00:02, 13.56it/s]\n 56%|█████▌    | 39/70 [00:03<00:02, 13.57it/s]\n 59%|█████▊    | 41/70 [00:04<00:02, 13.68it/s]\n 61%|██████▏   | 43/70 [00:04<00:01, 13.77it/s]\n 64%|██████▍   | 45/70 [00:04<00:01, 13.87it/s]\n 67%|██████▋   | 47/70 [00:04<00:01, 13.83it/s]\n 70%|███████   | 49/70 [00:04<00:01, 13.74it/s]\n 73%|███████▎  | 51/70 [00:04<00:01, 13.82it/s]\n 76%|███████▌  | 53/70 [00:04<00:01, 13.87it/s]\n 79%|███████▊  | 55/70 [00:05<00:01, 13.97it/s]\n 81%|████████▏ | 57/70 [00:05<00:00, 14.02it/s]\n 84%|████████▍ | 59/70 [00:05<00:00, 14.11it/s]\n 87%|████████▋ | 61/70 [00:05<00:00, 13.45it/s]\n 90%|█████████ | 63/70 [00:05<00:00, 13.08it/s]\n 93%|█████████▎| 65/70 [00:05<00:00, 13.28it/s]\n 96%|█████████▌| 67/70 [00:05<00:00, 13.53it/s]\n 99%|█████████▊| 69/70 [00:06<00:00, 13.74it/s]\n100%|██████████| 70/70 [00:06<00:00, 11.30it/s]",
  "metrics": {
    "predict_time": 9.065325,
    "total_time": 47.688233
  },
  "output": [
    "https://replicate.delivery/pbxt/YtDDfu90uLQgGKrxKWtjfjshflYfB3IOHxZXACT9898pXIBAB/out-0.png"
  ],
  "started_at": "2022-11-15T10:52:33.811161Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/iv4sclcm6jgydotukqkxtjkl6e",
    "cancel": "https://api.replicate.com/v1/predictions/iv4sclcm6jgydotukqkxtjkl6e/cancel"
  },
  "version": "9936c2001faa2194a261c01381f90e65261879985476014a0a37a334593a05eb"
}

Generated in

9.1 seconds

Tweak itReport

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