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zelenioncode /custum_model_safetonsors:dc244508
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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"zelenioncode/custum_model_safetonsors:dc2445089cce35735db630e2ea31a6ad7ca9edaa743ee54bd7e9ddffddbf1704",
{
input: {
seed: 3456051406,
width: 768,
height: 1024,
prompt: "face photo, 28 y.o man John, bald, wearing black shirt, standing, looks away, natural skin, daylight, (cinematic, film grain:1.1)",
guidance_scale: 7,
number_picture: 1,
negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
num_inference_steps: 25
}
}
);
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 zelenioncode/custum_model_safetonsors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"zelenioncode/custum_model_safetonsors:dc2445089cce35735db630e2ea31a6ad7ca9edaa743ee54bd7e9ddffddbf1704",
input={
"seed": 3456051406,
"width": 768,
"height": 1024,
"prompt": "face photo, 28 y.o man John, bald, wearing black shirt, standing, looks away, natural skin, daylight, (cinematic, film grain:1.1)",
"guidance_scale": 7,
"number_picture": 1,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"num_inference_steps": 25
}
)
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 zelenioncode/custum_model_safetonsors 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": "dc2445089cce35735db630e2ea31a6ad7ca9edaa743ee54bd7e9ddffddbf1704",
"input": {
"seed": 3456051406,
"width": 768,
"height": 1024,
"prompt": "face photo, 28 y.o man John, bald, wearing black shirt, standing, looks away, natural skin, daylight, (cinematic, film grain:1.1)",
"guidance_scale": 7,
"number_picture": 1,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"num_inference_steps": 25
}
}' \
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 zelenioncode/custum_model_safetonsors using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/zelenioncode/custum_model_safetonsors@sha256:dc2445089cce35735db630e2ea31a6ad7ca9edaa743ee54bd7e9ddffddbf1704 \
-i 'seed=3456051406' \
-i 'width=768' \
-i 'height=1024' \
-i 'prompt="face photo, 28 y.o man John, bald, wearing black shirt, standing, looks away, natural skin, daylight, (cinematic, film grain:1.1)"' \
-i 'guidance_scale=7' \
-i 'number_picture=1' \
-i 'negative_prompt="(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth"' \
-i 'num_inference_steps=25'
To learn more, take a look at the Cog documentation.
Pull and run zelenioncode/custum_model_safetonsors 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/zelenioncode/custum_model_safetonsors@sha256:dc2445089cce35735db630e2ea31a6ad7ca9edaa743ee54bd7e9ddffddbf1704
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "seed": 3456051406, "width": 768, "height": 1024, "prompt": "face photo, 28 y.o man John, bald, wearing black shirt, standing, looks away, natural skin, daylight, (cinematic, film grain:1.1)", "guidance_scale": 7, "number_picture": 1, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth", "num_inference_steps": 25 } }' \ http://localhost:5000/predictions
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Output
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