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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 wty-ustc/hairclip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"wty-ustc/hairclip:b95cb2a16763bea87ed7ed851d5a3ab2f4655e94bcfb871edba029d4814fa587",
{
input: {
image: "https://replicate.delivery/mgxm/b8be17a7-abcb-4421-80f2-e6a1e3fe38c7/MarkZuckerberg.jpg",
editing_type: "both",
color_description: "blond",
hairstyle_description: "hi-top fade hairstyle"
}
}
);
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 wty-ustc/hairclip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"wty-ustc/hairclip:b95cb2a16763bea87ed7ed851d5a3ab2f4655e94bcfb871edba029d4814fa587",
input={
"image": "https://replicate.delivery/mgxm/b8be17a7-abcb-4421-80f2-e6a1e3fe38c7/MarkZuckerberg.jpg",
"editing_type": "both",
"color_description": "blond",
"hairstyle_description": "hi-top fade hairstyle"
}
)
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 wty-ustc/hairclip 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": "b95cb2a16763bea87ed7ed851d5a3ab2f4655e94bcfb871edba029d4814fa587",
"input": {
"image": "https://replicate.delivery/mgxm/b8be17a7-abcb-4421-80f2-e6a1e3fe38c7/MarkZuckerberg.jpg",
"editing_type": "both",
"color_description": "blond",
"hairstyle_description": "hi-top fade hairstyle"
}
}' \
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 wty-ustc/hairclip using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/wty-ustc/hairclip@sha256:b95cb2a16763bea87ed7ed851d5a3ab2f4655e94bcfb871edba029d4814fa587 \
-i 'image="https://replicate.delivery/mgxm/b8be17a7-abcb-4421-80f2-e6a1e3fe38c7/MarkZuckerberg.jpg"' \
-i 'editing_type="both"' \
-i 'color_description="blond"' \
-i 'hairstyle_description="hi-top fade hairstyle"'
To learn more, take a look at the Cog documentation.
Pull and run wty-ustc/hairclip 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/wty-ustc/hairclip@sha256:b95cb2a16763bea87ed7ed851d5a3ab2f4655e94bcfb871edba029d4814fa587
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/mgxm/b8be17a7-abcb-4421-80f2-e6a1e3fe38c7/MarkZuckerberg.jpg", "editing_type": "both", "color_description": "blond", "hairstyle_description": "hi-top fade hairstyle" } }' \ http://localhost:5000/predictions
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Output
{
"completed_at": "2022-03-27T01:01:59.319704Z",
"created_at": "2022-03-27T01:01:46.685873Z",
"data_removed": false,
"error": null,
"id": "vadn3bythza5fjhzdlgqbf732a",
"input": {
"image": "https://replicate.delivery/mgxm/b8be17a7-abcb-4421-80f2-e6a1e3fe38c7/MarkZuckerberg.jpg",
"editing_type": "both",
"color_description": "blond",
"hairstyle_description": "hi-top fade hairstyle"
},
"logs": "Loading from checkpoint: pretrained_models/hairclip.pt\nAligned image has shape: (256, 256)\nLatent code calculated!\nLoading UNet for AvgLabLoss\n\n 0%| | 0/1 [00:00<?, ?it/s]\n100%|██████████| 1/1 [00:02<00:00, 2.00s/it]\n100%|██████████| 1/1 [00:02<00:00, 2.00s/it]",
"metrics": {
"predict_time": 12.452331,
"total_time": 12.633831
},
"output": "https://replicate.delivery/mgxm/2c45bef1-b58b-4b00-a413-fac0072e14ca/output.png",
"started_at": "2022-03-27T01:01:46.867373Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/vadn3bythza5fjhzdlgqbf732a",
"cancel": "https://api.replicate.com/v1/predictions/vadn3bythza5fjhzdlgqbf732a/cancel"
},
"version": "b95cb2a16763bea87ed7ed851d5a3ab2f4655e94bcfb871edba029d4814fa587"
}
Loading from checkpoint: pretrained_models/hairclip.pt
Aligned image has shape: (256, 256)
Latent code calculated!
Loading UNet for AvgLabLoss
0%| | 0/1 [00:00<?, ?it/s]
100%|██████████| 1/1 [00:02<00:00, 2.00s/it]
100%|██████████| 1/1 [00:02<00:00, 2.00s/it]