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meepo-pro-player /big-tt-style-wow:191b4f2b
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 meepo-pro-player/big-tt-style-wow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"meepo-pro-player/big-tt-style-wow:191b4f2baf54c3283a8412bd23498e3efcd801e8e4a6d2b0c73ba94611af4e4d",
{
input: {
num_samples: 1,
guidance_scale: 0.75,
num_inference_steps: 30,
control_guidance_end: 1,
control_guidance_start: 0.01,
controlnet_conditioning_scale: 0.7
}
}
);
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 meepo-pro-player/big-tt-style-wow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"meepo-pro-player/big-tt-style-wow:191b4f2baf54c3283a8412bd23498e3efcd801e8e4a6d2b0c73ba94611af4e4d",
input={
"num_samples": 1,
"guidance_scale": 0.75,
"num_inference_steps": 30,
"control_guidance_end": 1,
"control_guidance_start": 0.01,
"controlnet_conditioning_scale": 0.7
}
)
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 meepo-pro-player/big-tt-style-wow 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": "191b4f2baf54c3283a8412bd23498e3efcd801e8e4a6d2b0c73ba94611af4e4d",
"input": {
"num_samples": 1,
"guidance_scale": 0.75,
"num_inference_steps": 30,
"control_guidance_end": 1,
"control_guidance_start": 0.01,
"controlnet_conditioning_scale": 0.7
}
}' \
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 meepo-pro-player/big-tt-style-wow using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/meepo-pro-player/big-tt-style-wow@sha256:191b4f2baf54c3283a8412bd23498e3efcd801e8e4a6d2b0c73ba94611af4e4d \
-i 'num_samples=1' \
-i 'guidance_scale=0.75' \
-i 'num_inference_steps=30' \
-i 'control_guidance_end=1' \
-i 'control_guidance_start=0.01' \
-i 'controlnet_conditioning_scale=0.7'
To learn more, take a look at the Cog documentation.
Pull and run meepo-pro-player/big-tt-style-wow using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/meepo-pro-player/big-tt-style-wow@sha256:191b4f2baf54c3283a8412bd23498e3efcd801e8e4a6d2b0c73ba94611af4e4d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "num_samples": 1, "guidance_scale": 0.75, "num_inference_steps": 30, "control_guidance_end": 1, "control_guidance_start": 0.01, "controlnet_conditioning_scale": 0.7 } }' \ http://localhost:5000/predictions
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Output
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