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meepo-pro-player /rubick:eda93b28
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/rubick 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/rubick:eda93b2808596212be4d554ec4b849f011bcaad4f40e88be8fdf2672abf358b0",
{
input: {
n_prompt: "",
num_samples: "1",
guidance_scale: 9,
control_guidance_end: 1,
num_samples_per_batch: "1",
control_guidance_start: 0,
controlnet_conditioning_scale: 1
}
}
);
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/rubick using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"meepo-pro-player/rubick:eda93b2808596212be4d554ec4b849f011bcaad4f40e88be8fdf2672abf358b0",
input={
"n_prompt": "",
"num_samples": "1",
"guidance_scale": 9,
"control_guidance_end": 1,
"num_samples_per_batch": "1",
"control_guidance_start": 0,
"controlnet_conditioning_scale": 1
}
)
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/rubick 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": "eda93b2808596212be4d554ec4b849f011bcaad4f40e88be8fdf2672abf358b0",
"input": {
"n_prompt": "",
"num_samples": "1",
"guidance_scale": 9,
"control_guidance_end": 1,
"num_samples_per_batch": "1",
"control_guidance_start": 0,
"controlnet_conditioning_scale": 1
}
}' \
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/rubick using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/meepo-pro-player/rubick@sha256:eda93b2808596212be4d554ec4b849f011bcaad4f40e88be8fdf2672abf358b0 \
-i 'n_prompt=""' \
-i 'num_samples="1"' \
-i 'guidance_scale=9' \
-i 'control_guidance_end=1' \
-i 'num_samples_per_batch="1"' \
-i 'control_guidance_start=0' \
-i 'controlnet_conditioning_scale=1'
To learn more, take a look at the Cog documentation.
Pull and run meepo-pro-player/rubick 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/rubick@sha256:eda93b2808596212be4d554ec4b849f011bcaad4f40e88be8fdf2672abf358b0
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "n_prompt": "", "num_samples": "1", "guidance_scale": 9, "control_guidance_end": 1, "num_samples_per_batch": "1", "control_guidance_start": 0, "controlnet_conditioning_scale": 1 } }' \ http://localhost:5000/predictions
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Output
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