typetext
{
"aspect_ratio": "16:9",
"extra_lora_scale": 0.8,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 4,
"output_format": "jpg",
"output_quality": 80,
"prompt": "portrait of jessicayu walking on the street of New York",
"prompt_strength": 0.8
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_Kkd**********************************
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 davidkwcheng/jessicayu02 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"davidkwcheng/jessicayu02:ddaa7ec7edf2b43ea5fee72950a662179dbaf54ee3bb4e8075cbe14efdd6e8c2",
{
input: {
aspect_ratio: "16:9",
extra_lora_scale: 0.8,
guidance_scale: 3.5,
lora_scale: 1,
model: "dev",
num_inference_steps: 28,
num_outputs: 4,
output_format: "jpg",
output_quality: 80,
prompt: "portrait of jessicayu walking on the street of New York",
prompt_strength: 0.8
}
}
);
// 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_Kkd**********************************
This is your API token. Keep it to yourself.
import replicate
Run davidkwcheng/jessicayu02 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"davidkwcheng/jessicayu02:ddaa7ec7edf2b43ea5fee72950a662179dbaf54ee3bb4e8075cbe14efdd6e8c2",
input={
"aspect_ratio": "16:9",
"extra_lora_scale": 0.8,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 4,
"output_format": "jpg",
"output_quality": 80,
"prompt": "portrait of jessicayu walking on the street of New York",
"prompt_strength": 0.8
}
)
# 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_Kkd**********************************
This is your API token. Keep it to yourself.
Run davidkwcheng/jessicayu02 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": "davidkwcheng/jessicayu02:ddaa7ec7edf2b43ea5fee72950a662179dbaf54ee3bb4e8075cbe14efdd6e8c2",
"input": {
"aspect_ratio": "16:9",
"extra_lora_scale": 0.8,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 4,
"output_format": "jpg",
"output_quality": 80,
"prompt": "portrait of jessicayu walking on the street of New York",
"prompt_strength": 0.8
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "1jxnqapng1rm40chqbct0n89ew",
"model": "davidkwcheng/jessicayu02",
"version": "ddaa7ec7edf2b43ea5fee72950a662179dbaf54ee3bb4e8075cbe14efdd6e8c2",
"input": {
"aspect_ratio": "16:9",
"extra_lora_scale": 0.8,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 4,
"output_format": "jpg",
"output_quality": 80,
"prompt": "portrait of jessicayu walking on the street of New York",
"prompt_strength": 0.8
},
"logs": "Using seed: 39710\nPrompt: portrait of jessicayu walking on the street of New York\ntxt2img mode\nUsing dev model\nfree=9847050407936\nDownloading weights\n2024-09-04T02:25:23Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpahth6yx7/weights url=https://replicate.delivery/yhqm/hPHtwIU8IHYfXaDfy3C4nVekoWSe35gIRNh8nlmgc93m8clNB/trained_model.tar\n2024-09-04T02:25:27Z | INFO | [ Complete ] dest=/tmp/tmpahth6yx7/weights size=\"172 MB\" total_elapsed=3.362s url=https://replicate.delivery/yhqm/hPHtwIU8IHYfXaDfy3C4nVekoWSe35gIRNh8nlmgc93m8clNB/trained_model.tar\nDownloaded weights in 3.39s\nLoaded LoRAs in 12.09s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:28, 1.04s/it]\n 7%|▋ | 2/28 [00:01<00:24, 1.07it/s]\n 11%|█ | 3/28 [00:02<00:24, 1.02it/s]\n 14%|█▍ | 4/28 [00:04<00:24, 1.01s/it]\n 18%|█▊ | 5/28 [00:05<00:23, 1.03s/it]\n 21%|██▏ | 6/28 [00:06<00:22, 1.04s/it]\n 25%|██▌ | 7/28 [00:07<00:22, 1.05s/it]\n 29%|██▊ | 8/28 [00:08<00:21, 1.05s/it]\n 32%|███▏ | 9/28 [00:09<00:20, 1.05s/it]\n 36%|███▌ | 10/28 [00:10<00:19, 1.06s/it]\n 39%|███▉ | 11/28 [00:11<00:17, 1.06s/it]\n 43%|████▎ | 12/28 [00:12<00:16, 1.06s/it]\n 46%|████▋ | 13/28 [00:13<00:15, 1.06s/it]\n 50%|█████ | 14/28 [00:14<00:14, 1.06s/it]\n 54%|█████▎ | 15/28 [00:15<00:13, 1.06s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.06s/it]\n 61%|██████ | 17/28 [00:17<00:11, 1.06s/it]\n 64%|██████▍ | 18/28 [00:18<00:10, 1.06s/it]\n 68%|██████▊ | 19/28 [00:19<00:09, 1.06s/it]\n 71%|███████▏ | 20/28 [00:20<00:08, 1.06s/it]\n 75%|███████▌ | 21/28 [00:22<00:07, 1.06s/it]\n 79%|███████▊ | 22/28 [00:23<00:06, 1.06s/it]\n 82%|████████▏ | 23/28 [00:24<00:05, 1.06s/it]\n 86%|████████▌ | 24/28 [00:25<00:04, 1.06s/it]\n 89%|████████▉ | 25/28 [00:26<00:03, 1.06s/it]\n 93%|█████████▎| 26/28 [00:27<00:02, 1.06s/it]\n 96%|█████████▋| 27/28 [00:28<00:01, 1.06s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.06s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.05s/it]",
"output": [
"https://replicate.delivery/yhqm/2eNrCbdYxG0DXCh0gLftplk9FhT1xXq3FF0Jqv6LXhQe5uymA/out-0.jpg",
"https://replicate.delivery/yhqm/fPp3UVClwuUNDKcDheN2NfdogAmIxtx3mVXkZxEvbv685uymA/out-1.jpg",
"https://replicate.delivery/yhqm/CNrU7E5sQEKCGpSJm0pgoDsTmtl9GzTfvJzpx4Ck3jQfcXZTA/out-2.jpg",
"https://replicate.delivery/yhqm/ZPvJ9P1DX3oPDxDnjh64A0brsQ6tWmarzjdcojR7y8lP3V2E/out-3.jpg"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-09-04T02:25:23.84Z",
"started_at": "2024-09-04T02:25:23.848761Z",
"completed_at": "2024-09-04T02:26:06.664431Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/1jxnqapng1rm40chqbct0n89ew/cancel",
"get": "https://api.replicate.com/v1/predictions/1jxnqapng1rm40chqbct0n89ew",
"web": "https://replicate.com/p/1jxnqapng1rm40chqbct0n89ew"
},
"metrics": {
"predict_time": 42.815669923,
"total_time": 42.824431
}
}


