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philz1337x /clarity-upscaler:07a18ad2
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";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run philz1337x/clarity-upscaler using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"philz1337x/clarity-upscaler:07a18ad2845cc8f47aaea4fe12d61f58fe79b7e42ae546a301361db79c04c309",
{
input: {
seed: 1337,
prompt: "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
dynamic: 6,
scheduler: "DPM++ 3M SDE Karras",
creativity: 0.35,
resemblance: 0.6,
scale_factor: 2,
tiling_width: 112,
tiling_height: 144,
negative_prompt: "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
num_inference_steps: 18
}
}
);
// 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 philz1337x/clarity-upscaler using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"philz1337x/clarity-upscaler:07a18ad2845cc8f47aaea4fe12d61f58fe79b7e42ae546a301361db79c04c309",
input={
"seed": 1337,
"prompt": "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
"dynamic": 6,
"scheduler": "DPM++ 3M SDE Karras",
"creativity": 0.35,
"resemblance": 0.6,
"scale_factor": 2,
"tiling_width": 112,
"tiling_height": 144,
"negative_prompt": "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
"num_inference_steps": 18
}
)
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 philz1337x/clarity-upscaler 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": "philz1337x/clarity-upscaler:07a18ad2845cc8f47aaea4fe12d61f58fe79b7e42ae546a301361db79c04c309",
"input": {
"seed": 1337,
"prompt": "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
"dynamic": 6,
"scheduler": "DPM++ 3M SDE Karras",
"creativity": 0.35,
"resemblance": 0.6,
"scale_factor": 2,
"tiling_width": 112,
"tiling_height": 144,
"negative_prompt": "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
"num_inference_steps": 18
}
}' \
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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