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nightmareai /majesty-diffusion:c73f4b15
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run nightmareai/majesty-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"nightmareai/majesty-diffusion:c73f4b15c504e81ea888ccc2d569a23c962af25a1ce41065699eca4ef339c49b",
{
input: {
model: "finetuned",
width: 512,
height: 512,
clip_scale: 9500,
init_scale: 1000,
clip_prompts: "The portrait of a Majestic Princess, trending on artstation\n",
output_steps: 10,
latent_prompt: "The portrait of a Majestic Princess, trending on artstation",
custom_settings: "\n",
init_brightness: 0,
latent_negative: "",
starting_timestep: 0.9,
aesthetic_loss_scale: 400
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run nightmareai/majesty-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"nightmareai/majesty-diffusion:c73f4b15c504e81ea888ccc2d569a23c962af25a1ce41065699eca4ef339c49b",
input={
"model": "finetuned",
"width": 512,
"height": 512,
"clip_scale": 9500,
"init_scale": 1000,
"clip_prompts": "The portrait of a Majestic Princess, trending on artstation\n",
"output_steps": 10,
"latent_prompt": "The portrait of a Majestic Princess, trending on artstation",
"custom_settings": "\n",
"init_brightness": 0,
"latent_negative": "",
"starting_timestep": 0.9,
"aesthetic_loss_scale": 400
}
)
# The nightmareai/majesty-diffusion model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
# https://replicate.com/nightmareai/majesty-diffusion/api#output-schema
print(item)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run nightmareai/majesty-diffusion 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": "c73f4b15c504e81ea888ccc2d569a23c962af25a1ce41065699eca4ef339c49b",
"input": {
"model": "finetuned",
"width": 512,
"height": 512,
"clip_scale": 9500,
"init_scale": 1000,
"clip_prompts": "The portrait of a Majestic Princess, trending on artstation\\n",
"output_steps": 10,
"latent_prompt": "The portrait of a Majestic Princess, trending on artstation",
"custom_settings": "\\n",
"init_brightness": 0,
"latent_negative": "",
"starting_timestep": 0.9,
"aesthetic_loss_scale": 400
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
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Output
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