typefile
{
"a_prompt": "best quality, extremely detailed",
"ddim_steps": 20,
"detect_resolution": 512,
"image": "https://replicate.delivery/pbxt/IJYtXSDZ6sxDVWj3tcrf4JvNHT4f9LH5BAQhVSjJWf9BU3v4/house.png",
"image_resolution": "512",
"n_prompt": "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
"num_samples": "1",
"prompt": "A modernist house in a nice landscape",
"scale": 9
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_awp**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run jagilley/controlnet-seg using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"jagilley/controlnet-seg:f967b165f4cd2e151d11e7450a8214e5d22ad2007f042f2f891ca3981dbfba0d",
{
input: {
a_prompt: "best quality, extremely detailed",
ddim_steps: 20,
detect_resolution: 512,
image: "https://replicate.delivery/pbxt/IJYtXSDZ6sxDVWj3tcrf4JvNHT4f9LH5BAQhVSjJWf9BU3v4/house.png",
image_resolution: "512",
n_prompt: "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
num_samples: "1",
prompt: "A modernist house in a nice landscape",
scale: 9
}
}
);
// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_awp**********************************
This is your API token. Keep it to yourself.
import replicate
Run jagilley/controlnet-seg using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"jagilley/controlnet-seg:f967b165f4cd2e151d11e7450a8214e5d22ad2007f042f2f891ca3981dbfba0d",
input={
"a_prompt": "best quality, extremely detailed",
"ddim_steps": 20,
"detect_resolution": 512,
"image": "https://replicate.delivery/pbxt/IJYtXSDZ6sxDVWj3tcrf4JvNHT4f9LH5BAQhVSjJWf9BU3v4/house.png",
"image_resolution": "512",
"n_prompt": "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
"num_samples": "1",
"prompt": "A modernist house in a nice landscape",
"scale": 9
}
)
# To access the file URL:
print(output[0].url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_awp**********************************
This is your API token. Keep it to yourself.
Run jagilley/controlnet-seg 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": "jagilley/controlnet-seg:f967b165f4cd2e151d11e7450a8214e5d22ad2007f042f2f891ca3981dbfba0d",
"input": {
"a_prompt": "best quality, extremely detailed",
"ddim_steps": 20,
"detect_resolution": 512,
"image": "https://replicate.delivery/pbxt/IJYtXSDZ6sxDVWj3tcrf4JvNHT4f9LH5BAQhVSjJWf9BU3v4/house.png",
"image_resolution": "512",
"n_prompt": "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
"num_samples": "1",
"prompt": "A modernist house in a nice landscape",
"scale": 9
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "ywxddjn4xbbp5i73roshr6bbyy",
"model": "jagilley/controlnet-seg",
"version": "f967b165f4cd2e151d11e7450a8214e5d22ad2007f042f2f891ca3981dbfba0d",
"input": {
"a_prompt": "best quality, extremely detailed",
"ddim_steps": 20,
"detect_resolution": 512,
"image": "https://replicate.delivery/pbxt/IJYtXSDZ6sxDVWj3tcrf4JvNHT4f9LH5BAQhVSjJWf9BU3v4/house.png",
"image_resolution": "512",
"n_prompt": "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
"num_samples": "1",
"prompt": "A modernist house in a nice landscape",
"scale": 9
},
"logs": "/src/annotator/uniformer/mmseg/models/segmentors/base.py:271: UserWarning: show==False and out_file is not specified, only result image will be returned\nwarnings.warn('show==False and out_file is not specified, only '\nGlobal seed set to 88655\nData shape for DDIM sampling is (1, 4, 64, 64), eta 0.0\nRunning DDIM Sampling with 20 timesteps\nDDIM Sampler: 0%| | 0/20 [00:00<?, ?it/s]\nDDIM Sampler: 5%|▌ | 1/20 [00:00<00:17, 1.08it/s]\nDDIM Sampler: 10%|█ | 2/20 [00:01<00:14, 1.24it/s]\nDDIM Sampler: 15%|█▌ | 3/20 [00:02<00:13, 1.30it/s]\nDDIM Sampler: 20%|██ | 4/20 [00:03<00:12, 1.33it/s]\nDDIM Sampler: 25%|██▌ | 5/20 [00:03<00:11, 1.35it/s]\nDDIM Sampler: 30%|███ | 6/20 [00:04<00:10, 1.36it/s]\nDDIM Sampler: 35%|███▌ | 7/20 [00:05<00:09, 1.36it/s]\nDDIM Sampler: 40%|████ | 8/20 [00:06<00:08, 1.37it/s]\nDDIM Sampler: 45%|████▌ | 9/20 [00:06<00:08, 1.37it/s]\nDDIM Sampler: 50%|█████ | 10/20 [00:07<00:07, 1.37it/s]\nDDIM Sampler: 55%|█████▌ | 11/20 [00:08<00:06, 1.37it/s]\nDDIM Sampler: 60%|██████ | 12/20 [00:08<00:05, 1.37it/s]\nDDIM Sampler: 65%|██████▌ | 13/20 [00:09<00:05, 1.37it/s]\nDDIM Sampler: 70%|███████ | 14/20 [00:10<00:04, 1.37it/s]\nDDIM Sampler: 75%|███████▌ | 15/20 [00:11<00:03, 1.37it/s]\nDDIM Sampler: 80%|████████ | 16/20 [00:11<00:02, 1.37it/s]\nDDIM Sampler: 85%|████████▌ | 17/20 [00:12<00:02, 1.36it/s]\nDDIM Sampler: 90%|█████████ | 18/20 [00:13<00:01, 1.36it/s]\nDDIM Sampler: 95%|█████████▌| 19/20 [00:14<00:00, 1.36it/s]\nDDIM Sampler: 100%|██████████| 20/20 [00:14<00:00, 1.36it/s]\nDDIM Sampler: 100%|██████████| 20/20 [00:14<00:00, 1.35it/s]",
"output": [
"https://replicate.delivery/pbxt/mBNpEeiNkrSNBypupIfKvNLrQcUaBYfh6of4wahaHj9ysp5BB/output_0.png",
"https://replicate.delivery/pbxt/YKVetNkuroyWJC4mxzrgvQbJ2vS5eFOS1B8xkJMkAiXMbaegA/output_1.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2023-02-14T20:46:52.65953Z",
"started_at": "2023-02-14T20:53:12.136599Z",
"completed_at": "2023-02-14T20:53:33.321081Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/ywxddjn4xbbp5i73roshr6bbyy/cancel",
"get": "https://api.replicate.com/v1/predictions/ywxddjn4xbbp5i73roshr6bbyy"
},
"metrics": {
"predict_time": 21.184482,
"total_time": 400.661551
}
}

