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zust-ai /zust-diffusion:3f01c9d2
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 zust-ai/zust-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"zust-ai/zust-diffusion:3f01c9d2e38d614c0123abf0f4fb37a88fcbf4f7d6f3db9d195686fe50b4be96",
{
input: {
max_size: 512,
pipe_type: "photoshift",
upscale_url: "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png",
with_detail: false,
is_heartbeat: false,
photoshift_scene: "{\"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\"}",
cleanup_background: true,
photoshift_subject: "[{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_raw2.png\"}]"
}
}
);
// 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 zust-ai/zust-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"zust-ai/zust-diffusion:3f01c9d2e38d614c0123abf0f4fb37a88fcbf4f7d6f3db9d195686fe50b4be96",
input={
"max_size": 512,
"pipe_type": "photoshift",
"upscale_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png",
"with_detail": False,
"is_heartbeat": False,
"photoshift_scene": "{\"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\"}",
"cleanup_background": True,
"photoshift_subject": "[{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_raw2.png\"}]"
}
)
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 zust-ai/zust-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": "zust-ai/zust-diffusion:3f01c9d2e38d614c0123abf0f4fb37a88fcbf4f7d6f3db9d195686fe50b4be96",
"input": {
"max_size": 512,
"pipe_type": "photoshift",
"upscale_url": "https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png",
"with_detail": false,
"is_heartbeat": false,
"photoshift_scene": "{\\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\\"}",
"cleanup_background": true,
"photoshift_subject": "[{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_raw2.png\\"}]"
}
}' \
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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