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camenduru /visual-style-prompting-controlnet:bfd1dedb
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/visual-style-prompting-controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"camenduru/visual-style-prompting-controlnet:bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65",
{
input: {
prompt: "",
style_name: "fire",
diffusion_steps: 50,
controlnet_scale: 0.5
}
}
);
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/visual-style-prompting-controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"camenduru/visual-style-prompting-controlnet:bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65",
input={
"prompt": "",
"style_name": "fire",
"diffusion_steps": 50,
"controlnet_scale": 0.5
}
)
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/visual-style-prompting-controlnet 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": "bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65",
"input": {
"prompt": "",
"style_name": "fire",
"diffusion_steps": 50,
"controlnet_scale": 0.5
}
}' \
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/visual-style-prompting-controlnet using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/camenduru/visual-style-prompting-controlnet@sha256:bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65 \
-i 'prompt=""' \
-i 'style_name="fire"' \
-i 'diffusion_steps=50' \
-i 'controlnet_scale=0.5'
To learn more, take a look at the Cog documentation.
Pull and run camenduru/visual-style-prompting-controlnet using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 r8.im/camenduru/visual-style-prompting-controlnet@sha256:bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "", "style_name": "fire", "diffusion_steps": 50, "controlnet_scale": 0.5 } }' \ http://localhost:5000/predictions
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Output
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