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Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run asiryan/2dn-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"asiryan/2dn-xl:b2ace84598c9fba90d498fdceb70506a36880464ec11c8e5dbf8008bcf325af4",
{
input: {
width: 1024,
height: 1024,
prompt: "source_anime, score_9,score_8_up,score_7_up,score_6_up,score_5_up,score_4_up,(androgynous), ([1boy|1girl]), gender neutral, light purple hair, pastel colors, dark purple eyes, snow",
strength: 0.8,
scheduler: "K_EULER_ANCESTRAL",
lora_scale: 0.6,
num_outputs: 1,
guidance_scale: 3.5,
negative_prompt: "score_6, score_5, score_4, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, jpeg artifacts, deformed, noisy image, poorly drawn face, ugly face, crossed eyes",
num_inference_steps: 40
}
}
);
// 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.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run asiryan/2dn-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"asiryan/2dn-xl:b2ace84598c9fba90d498fdceb70506a36880464ec11c8e5dbf8008bcf325af4",
input={
"width": 1024,
"height": 1024,
"prompt": "source_anime, score_9,score_8_up,score_7_up,score_6_up,score_5_up,score_4_up,(androgynous), ([1boy|1girl]), gender neutral, light purple hair, pastel colors, dark purple eyes, snow",
"strength": 0.8,
"scheduler": "K_EULER_ANCESTRAL",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 3.5,
"negative_prompt": "score_6, score_5, score_4, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, jpeg artifacts, deformed, noisy image, poorly drawn face, ugly face, crossed eyes",
"num_inference_steps": 40
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run asiryan/2dn-xl 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": "asiryan/2dn-xl:b2ace84598c9fba90d498fdceb70506a36880464ec11c8e5dbf8008bcf325af4",
"input": {
"width": 1024,
"height": 1024,
"prompt": "source_anime, score_9,score_8_up,score_7_up,score_6_up,score_5_up,score_4_up,(androgynous), ([1boy|1girl]), gender neutral, light purple hair, pastel colors, dark purple eyes, snow",
"strength": 0.8,
"scheduler": "K_EULER_ANCESTRAL",
"lora_scale": 0.6,
"num_outputs": 1,
"guidance_scale": 3.5,
"negative_prompt": "score_6, score_5, score_4, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, jpeg artifacts, deformed, noisy image, poorly drawn face, ugly face, crossed eyes",
"num_inference_steps": 40
}
}' \
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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