typefile
{
"a_prompt": "best quality, extremely detailed",
"ddim_steps": 20,
"detect_resolution": 512,
"image_resolution": "512",
"input_image": "https://replicate.delivery/pbxt/IJBChpRrky1GqjRBPmtMjtYciqUNgefsCk9fHAJ8QrN9vYBY/old.png",
"n_prompt": "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
"num_samples": "1",
"prompt": "oil painting of handsome older gentleman, masterpiece",
"scale": 9
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_Uww**********************************
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-hed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"jagilley/controlnet-hed:cde353130c86f37d0af4060cd757ab3009cac68eb58df216768f907f0d0a0653",
{
input: {
a_prompt: "best quality, extremely detailed",
ddim_steps: 20,
detect_resolution: 512,
image_resolution: "512",
input_image: "https://replicate.delivery/pbxt/IJBChpRrky1GqjRBPmtMjtYciqUNgefsCk9fHAJ8QrN9vYBY/old.png",
n_prompt: "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
num_samples: "1",
prompt: "oil painting of handsome older gentleman, masterpiece",
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_Uww**********************************
This is your API token. Keep it to yourself.
import replicate
Run jagilley/controlnet-hed using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"jagilley/controlnet-hed:cde353130c86f37d0af4060cd757ab3009cac68eb58df216768f907f0d0a0653",
input={
"a_prompt": "best quality, extremely detailed",
"ddim_steps": 20,
"detect_resolution": 512,
"image_resolution": "512",
"input_image": "https://replicate.delivery/pbxt/IJBChpRrky1GqjRBPmtMjtYciqUNgefsCk9fHAJ8QrN9vYBY/old.png",
"n_prompt": "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
"num_samples": "1",
"prompt": "oil painting of handsome older gentleman, masterpiece",
"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_Uww**********************************
This is your API token. Keep it to yourself.
Run jagilley/controlnet-hed 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-hed:cde353130c86f37d0af4060cd757ab3009cac68eb58df216768f907f0d0a0653",
"input": {
"a_prompt": "best quality, extremely detailed",
"ddim_steps": 20,
"detect_resolution": 512,
"image_resolution": "512",
"input_image": "https://replicate.delivery/pbxt/IJBChpRrky1GqjRBPmtMjtYciqUNgefsCk9fHAJ8QrN9vYBY/old.png",
"n_prompt": "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
"num_samples": "1",
"prompt": "oil painting of handsome older gentleman, masterpiece",
"scale": 9
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "u7wqln2w7fhddian4reydccsj4",
"model": "jagilley/controlnet-hed",
"version": "cde353130c86f37d0af4060cd757ab3009cac68eb58df216768f907f0d0a0653",
"input": {
"a_prompt": "best quality, extremely detailed",
"ddim_steps": 20,
"detect_resolution": 512,
"image_resolution": "512",
"input_image": "https://replicate.delivery/pbxt/IJBChpRrky1GqjRBPmtMjtYciqUNgefsCk9fHAJ8QrN9vYBY/old.png",
"n_prompt": "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
"num_samples": "1",
"prompt": "oil painting of handsome older gentleman, masterpiece",
"scale": 9
},
"logs": "Global seed set to 134830\nData shape for DDIM sampling is (1, 4, 88, 64), eta 0.0\nRunning DDIM Sampling with 20 timesteps\nDDIM Sampler: 0%| | 0/20 [00:00<?, ?it/s]\nDDIM Sampler: 5%|▌ | 1/20 [00:01<00:23, 1.25s/it]\nDDIM Sampler: 10%|█ | 2/20 [00:02<00:22, 1.23s/it]\nDDIM Sampler: 15%|█▌ | 3/20 [00:03<00:20, 1.22s/it]\nDDIM Sampler: 20%|██ | 4/20 [00:04<00:19, 1.22s/it]\nDDIM Sampler: 25%|██▌ | 5/20 [00:06<00:18, 1.22s/it]\nDDIM Sampler: 30%|███ | 6/20 [00:07<00:17, 1.22s/it]\nDDIM Sampler: 35%|███▌ | 7/20 [00:08<00:15, 1.22s/it]\nDDIM Sampler: 40%|████ | 8/20 [00:09<00:14, 1.22s/it]\nDDIM Sampler: 45%|████▌ | 9/20 [00:10<00:13, 1.22s/it]\nDDIM Sampler: 50%|█████ | 10/20 [00:12<00:12, 1.22s/it]\nDDIM Sampler: 55%|█████▌ | 11/20 [00:13<00:11, 1.23s/it]\nDDIM Sampler: 60%|██████ | 12/20 [00:14<00:09, 1.23s/it]\nDDIM Sampler: 65%|██████▌ | 13/20 [00:15<00:08, 1.23s/it]\nDDIM Sampler: 70%|███████ | 14/20 [00:17<00:07, 1.23s/it]\nDDIM Sampler: 75%|███████▌ | 15/20 [00:18<00:06, 1.23s/it]\nDDIM Sampler: 80%|████████ | 16/20 [00:19<00:04, 1.23s/it]\nDDIM Sampler: 85%|████████▌ | 17/20 [00:20<00:03, 1.23s/it]\nDDIM Sampler: 90%|█████████ | 18/20 [00:22<00:02, 1.23s/it]\nDDIM Sampler: 95%|█████████▌| 19/20 [00:23<00:01, 1.24s/it]\nDDIM Sampler: 100%|██████████| 20/20 [00:24<00:00, 1.24s/it]\nDDIM Sampler: 100%|██████████| 20/20 [00:24<00:00, 1.23s/it]",
"output": [
"https://replicate.delivery/pbxt/SewYttnDSwxOHKNbiNAeze2iQluVYldRcer6PrKkTLuSgO4BB/output_0.png",
"https://replicate.delivery/pbxt/XHe8yQpnaty6FaeFFTYFXUcE3wrnrofAzFyM473DR6DLQH8gA/output_1.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2023-02-13T18:56:42.968908Z",
"started_at": "2023-02-13T18:56:43.034218Z",
"completed_at": "2023-02-13T18:57:09.782538Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/u7wqln2w7fhddian4reydccsj4/cancel",
"get": "https://api.replicate.com/v1/predictions/u7wqln2w7fhddian4reydccsj4"
},
"metrics": {
"predict_time": 26.74832,
"total_time": 26.81363
}
}

