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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 chenxwh/nova-t2v using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"chenxwh/nova-t2v:efe91027f017e9b32e1d458c59139dc5ab783955d111a2c72c8e7063e6f38261",
{
input: {
fps: 12,
prompt: "The camera slowly rotates around a massive stack of vintage televisions that are placed within a large New York museum gallery. Each of the televisions is showing a different program. There are 1950s sci-fi movies with their distinctive visuals, horror movies with their creepy scenes, news broadcasts with moving images and words, static on some screens, and a 1970s sitcom with its characteristic look. The televisions are of various sizes and designs, some with rounded edges and others with more angular shapes. The gallery is well-lit, with light falling on the stack of televisions and highlighting the different programs being shown. There are no people visible in the immediate vicinity, only the stack of televisions and the surrounding gallery space.",
motion_flow: 5,
guidance_scale: 7,
negative_prompt: "low quality, deformed, distorted, disfigured, fused fingers, bad anatomy, weird hand",
num_diffusion_steps: 100,
num_inference_steps: 128
}
}
);
// To access the file URL:
console.log(output.url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output);
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 chenxwh/nova-t2v using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"chenxwh/nova-t2v:efe91027f017e9b32e1d458c59139dc5ab783955d111a2c72c8e7063e6f38261",
input={
"fps": 12,
"prompt": "The camera slowly rotates around a massive stack of vintage televisions that are placed within a large New York museum gallery. Each of the televisions is showing a different program. There are 1950s sci-fi movies with their distinctive visuals, horror movies with their creepy scenes, news broadcasts with moving images and words, static on some screens, and a 1970s sitcom with its characteristic look. The televisions are of various sizes and designs, some with rounded edges and others with more angular shapes. The gallery is well-lit, with light falling on the stack of televisions and highlighting the different programs being shown. There are no people visible in the immediate vicinity, only the stack of televisions and the surrounding gallery space.",
"motion_flow": 5,
"guidance_scale": 7,
"negative_prompt": "low quality, deformed, distorted, disfigured, fused fingers, bad anatomy, weird hand",
"num_diffusion_steps": 100,
"num_inference_steps": 128
}
)
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 chenxwh/nova-t2v 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": "chenxwh/nova-t2v:efe91027f017e9b32e1d458c59139dc5ab783955d111a2c72c8e7063e6f38261",
"input": {
"fps": 12,
"prompt": "The camera slowly rotates around a massive stack of vintage televisions that are placed within a large New York museum gallery. Each of the televisions is showing a different program. There are 1950s sci-fi movies with their distinctive visuals, horror movies with their creepy scenes, news broadcasts with moving images and words, static on some screens, and a 1970s sitcom with its characteristic look. The televisions are of various sizes and designs, some with rounded edges and others with more angular shapes. The gallery is well-lit, with light falling on the stack of televisions and highlighting the different programs being shown. There are no people visible in the immediate vicinity, only the stack of televisions and the surrounding gallery space.",
"motion_flow": 5,
"guidance_scale": 7,
"negative_prompt": "low quality, deformed, distorted, disfigured, fused fingers, bad anatomy, weird hand",
"num_diffusion_steps": 100,
"num_inference_steps": 128
}
}' \
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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