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

anatomical correct detailed skull, cyborg head, Dramatic, Dark, Super-Resolution, Evil, Neon Lamp, Cinematic Lighting, Chromatic Aberration, insanely detailed and intricate, hypermaximalist, elegant, ornate, hyper realistic, super detailed, Unreal Engineanatomical correct detailed skull, cyborg head, Dramatic, Dark, Super-Resolution, Evil, Neon Lamp, Cinematic Lighting, Chromatic Aberration, insanely detailed and intricate, hypermaximalist, elegant, ornate, hyper realistic, super detailed, Unreal Engine

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: 50490,
      width: 512,
      height: 512,
      prompt: "anatomical correct detailed skull, cyborg head, Dramatic, Dark, Super-Resolution, Evil, Neon Lamp, Cinematic Lighting, Chromatic Aberration, insanely detailed and intricate, hypermaximalist, elegant, ornate, hyper realistic, super detailed, Unreal Engine",
      num_outputs: 1,
      guidance_scale: 7,
      num_inference_steps: 50
    }
  }
);

// 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": 50490,
        "width": 512,
        "height": 512,
        "prompt": "anatomical correct detailed skull, cyborg head, Dramatic, Dark, Super-Resolution, Evil, Neon Lamp, Cinematic Lighting, Chromatic Aberration, insanely detailed and intricate, hypermaximalist, elegant, ornate, hyper realistic, super detailed, Unreal Engine",
        "num_outputs": 1,
        "guidance_scale": 7,
        "num_inference_steps": 50
    }
)
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": 50490,
      "width": 512,
      "height": 512,
      "prompt": "anatomical correct detailed skull, cyborg head, Dramatic, Dark, Super-Resolution, Evil, Neon Lamp, Cinematic Lighting, Chromatic Aberration, insanely detailed and intricate, hypermaximalist, elegant, ornate, hyper realistic, super detailed, Unreal Engine",
      "num_outputs": 1,
      "guidance_scale": 7,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2022-11-15T02:21:39.113572Z",
  "created_at": "2022-11-15T02:21:35.073521Z",
  "data_removed": false,
  "error": null,
  "id": "brcu77klunelpnulx5uebhce64",
  "input": {
    "seed": 50490,
    "width": 512,
    "height": 512,
    "prompt": "anatomical correct detailed skull, cyborg head, Dramatic, Dark, Super-Resolution, Evil, Neon Lamp, Cinematic Lighting, Chromatic Aberration, insanely detailed and intricate, hypermaximalist, elegant, ornate, hyper realistic, super detailed, Unreal Engine",
    "num_outputs": 1,
    "guidance_scale": "7",
    "num_inference_steps": 50
  },
  "logs": "Using seed: 50490\nGlobal seed set to 50490\n  0%|          | 0/50 [00:00<?, ?it/s]\n  4%|▍         | 2/50 [00:00<00:03, 13.59it/s]\n  8%|▊         | 4/50 [00:00<00:03, 13.91it/s]\n 12%|█▏        | 6/50 [00:00<00:03, 14.02it/s]\n 16%|█▌        | 8/50 [00:00<00:02, 14.07it/s]\n 20%|██        | 10/50 [00:00<00:02, 14.09it/s]\n 24%|██▍       | 12/50 [00:00<00:02, 14.05it/s]\n 28%|██▊       | 14/50 [00:00<00:02, 14.00it/s]\n 32%|███▏      | 16/50 [00:01<00:02, 14.06it/s]\n 36%|███▌      | 18/50 [00:01<00:02, 14.11it/s]\n 40%|████      | 20/50 [00:01<00:02, 14.13it/s]\n 44%|████▍     | 22/50 [00:01<00:01, 14.16it/s]\n 48%|████▊     | 24/50 [00:01<00:01, 14.15it/s]\n 52%|█████▏    | 26/50 [00:01<00:01, 14.17it/s]\n 56%|█████▌    | 28/50 [00:01<00:01, 14.19it/s]\n 60%|██████    | 30/50 [00:02<00:01, 14.16it/s]\n 64%|██████▍   | 32/50 [00:02<00:01, 14.17it/s]\n 68%|██████▊   | 34/50 [00:02<00:01, 14.18it/s]\n 72%|███████▏  | 36/50 [00:02<00:01, 13.96it/s]\n 76%|███████▌  | 38/50 [00:02<00:00, 13.88it/s]\n 80%|████████  | 40/50 [00:02<00:00, 13.98it/s]\n 84%|████████▍ | 42/50 [00:02<00:00, 14.07it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 14.16it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 14.17it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 14.20it/s]\n100%|██████████| 50/50 [00:03<00:00, 14.25it/s]\n100%|██████████| 50/50 [00:03<00:00, 14.11it/s]",
  "metrics": {
    "predict_time": 4.004495,
    "total_time": 4.040051
  },
  "output": [
    "https://replicate.delivery/pbxt/54XaDvH8JGY2NNXPAFfWPs1TPmDael4AvGQIjE9K3O0ymKAQA/out-0.png"
  ],
  "started_at": "2022-11-15T02:21:35.109077Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/brcu77klunelpnulx5uebhce64",
    "cancel": "https://api.replicate.com/v1/predictions/brcu77klunelpnulx5uebhce64/cancel"
  },
  "version": "9936c2001faa2194a261c01381f90e65261879985476014a0a37a334593a05eb"
}

Generated in

4.0 seconds

Tweak itReport