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camenduru /streaming-t2v:a2ee530d
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 camenduru/streaming-t2v using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"camenduru/streaming-t2v:a2ee530d30103b292f15f494fc5aba41d537a9d7d2f8fb433c33ac061d0450a4",
{
input: {
seed: 33,
prompt: "A cat running on the street",
enhance: false,
num_frames: 24
}
}
);
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 camenduru/streaming-t2v using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"camenduru/streaming-t2v:a2ee530d30103b292f15f494fc5aba41d537a9d7d2f8fb433c33ac061d0450a4",
input={
"seed": 33,
"prompt": "A cat running on the street",
"enhance": False,
"num_frames": 24
}
)
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 camenduru/streaming-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": "a2ee530d30103b292f15f494fc5aba41d537a9d7d2f8fb433c33ac061d0450a4",
"input": {
"seed": 33,
"prompt": "A cat running on the street",
"enhance": false,
"num_frames": 24
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
brew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run camenduru/streaming-t2v using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/camenduru/streaming-t2v@sha256:a2ee530d30103b292f15f494fc5aba41d537a9d7d2f8fb433c33ac061d0450a4 \
-i 'seed=33' \
-i 'prompt="A cat running on the street"' \
-i 'enhance=false' \
-i 'num_frames=24'
To learn more, take a look at the Cog documentation.
Pull and run camenduru/streaming-t2v using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 r8.im/camenduru/streaming-t2v@sha256:a2ee530d30103b292f15f494fc5aba41d537a9d7d2f8fb433c33ac061d0450a4
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "seed": 33, "prompt": "A cat running on the street", "enhance": false, "num_frames": 24 } }' \ http://localhost:5000/predictions
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Output
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