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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 fermatresearch/high-resolution-controlnet-tile using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"fermatresearch/high-resolution-controlnet-tile:640cfbd96fdea61214fe76f9f9716ba3c258d3a860c518e030ad2fc13c68ab6b",
{
input: {
hdr: 0,
steps: 8,
format: "jpg",
scheduler: "DDIM",
tile_size: 768,
creativity: 0.35,
guess_mode: false,
resolution: 2560,
resemblance: 0.85,
guidance_scale: 0,
negative_prompt: "teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant",
lora_details_strength: 1,
lora_sharpness_strength: 1.25
}
}
);
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 fermatresearch/high-resolution-controlnet-tile using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"fermatresearch/high-resolution-controlnet-tile:640cfbd96fdea61214fe76f9f9716ba3c258d3a860c518e030ad2fc13c68ab6b",
input={
"hdr": 0,
"steps": 8,
"format": "jpg",
"scheduler": "DDIM",
"tile_size": 768,
"creativity": 0.35,
"guess_mode": False,
"resolution": 2560,
"resemblance": 0.85,
"guidance_scale": 0,
"negative_prompt": "teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant",
"lora_details_strength": 1,
"lora_sharpness_strength": 1.25
}
)
print(output)
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 fermatresearch/high-resolution-controlnet-tile 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": "640cfbd96fdea61214fe76f9f9716ba3c258d3a860c518e030ad2fc13c68ab6b",
"input": {
"hdr": 0,
"steps": 8,
"format": "jpg",
"scheduler": "DDIM",
"tile_size": 768,
"creativity": 0.35,
"guess_mode": false,
"resolution": 2560,
"resemblance": 0.85,
"guidance_scale": 0,
"negative_prompt": "teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant",
"lora_details_strength": 1,
"lora_sharpness_strength": 1.25
}
}' \
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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