Readme
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jichengdu
/
wan-i2v
- Public
- 12 runs
-
A100 (80GB)
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=jichengdu/wan-i2v
or set up a project from scratch
npm install replicateSet the
REPLICATE_API_TOKEN environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run jichengdu/wan-i2v using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"jichengdu/wan-i2v:d6a220d6990c8e166d4639a7b8fc9ef744e8e5297af2aef18edde1477140782e",
{
input: {
image: "https://replicate.delivery/pbxt/MfpzR98ZJmwZM7oUcVqeFNW5DUvtTGFDTopDvFC40JdGhZKB/i2v_input.JPG",
prompt: "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.",
max_area: "1280*720",
num_frames: 81,
sample_shift: 5,
sample_steps: 30,
frames_per_second: 16,
sample_guide_scale: 5
}
}
);
console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Examples
Run time and cost
This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.