Failed to load versions. Head to the versions page to see all versions for this model.
You're looking at a specific version of this model. Jump to the model overview.
philz1337x /clarity-upscaler:3bb9d341
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 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:3bb9d3412f14261c2f8cfa15a56dd7b33f44af54777c517b860a3f678a5d7f3b",
{
input: {
seed: 1337,
prompt: "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
dynamic: 6,
sd_model: "juggernaut_reborn.safetensors [338b85bc4f]",
scheduler: "DPM++ 3M SDE Karras",
creativity: 0.35,
lora_links: "",
downscaling: false,
resemblance: 0.6,
scale_factor: 2,
tiling_width: 112,
tiling_height: 144,
custom_sd_model: "",
negative_prompt: "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
num_inference_steps: 18,
downscaling_resolution: 768
}
}
);
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 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:3bb9d3412f14261c2f8cfa15a56dd7b33f44af54777c517b860a3f678a5d7f3b",
input={
"seed": 1337,
"prompt": "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
"dynamic": 6,
"sd_model": "juggernaut_reborn.safetensors [338b85bc4f]",
"scheduler": "DPM++ 3M SDE Karras",
"creativity": 0.35,
"lora_links": "",
"downscaling": False,
"resemblance": 0.6,
"scale_factor": 2,
"tiling_width": 112,
"tiling_height": 144,
"custom_sd_model": "",
"negative_prompt": "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
"num_inference_steps": 18,
"downscaling_resolution": 768
}
)
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 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": "3bb9d3412f14261c2f8cfa15a56dd7b33f44af54777c517b860a3f678a5d7f3b",
"input": {
"seed": 1337,
"prompt": "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
"dynamic": 6,
"sd_model": "juggernaut_reborn.safetensors [338b85bc4f]",
"scheduler": "DPM++ 3M SDE Karras",
"creativity": 0.35,
"lora_links": "",
"downscaling": false,
"resemblance": 0.6,
"scale_factor": 2,
"tiling_width": 112,
"tiling_height": 144,
"custom_sd_model": "",
"negative_prompt": "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
"num_inference_steps": 18,
"downscaling_resolution": 768
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
Output
No output yet! Press "Submit" to start a prediction.