typetext
{
"aspect_ratio": "16:9",
"guidance_scale": 3.5,
"lora_scale": 1.22,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 3,
"output_format": "webp",
"output_quality": 80,
"prompt": "a photo of a women with his face painted, TOK style makeup"
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_LpX**********************************
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 igorriti/flux-fileteado using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"igorriti/flux-fileteado:6186ef6882ff2c1764686f32fe3b27e562a27edfc62eef5c7223c06ab1689915",
{
input: {
aspect_ratio: "16:9",
guidance_scale: 3.5,
lora_scale: 1.22,
model: "dev",
num_inference_steps: 28,
num_outputs: 3,
output_format: "webp",
output_quality: 80,
prompt: "a photo of a women with his face painted, TOK style makeup"
}
}
);
// 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_LpX**********************************
This is your API token. Keep it to yourself.
import replicate
Run igorriti/flux-fileteado using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"igorriti/flux-fileteado:6186ef6882ff2c1764686f32fe3b27e562a27edfc62eef5c7223c06ab1689915",
input={
"aspect_ratio": "16:9",
"guidance_scale": 3.5,
"lora_scale": 1.22,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 3,
"output_format": "webp",
"output_quality": 80,
"prompt": "a photo of a women with his face painted, TOK style makeup"
}
)
# 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_LpX**********************************
This is your API token. Keep it to yourself.
Run igorriti/flux-fileteado 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": "igorriti/flux-fileteado:6186ef6882ff2c1764686f32fe3b27e562a27edfc62eef5c7223c06ab1689915",
"input": {
"aspect_ratio": "16:9",
"guidance_scale": 3.5,
"lora_scale": 1.22,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 3,
"output_format": "webp",
"output_quality": 80,
"prompt": "a photo of a women with his face painted, TOK style makeup"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "n69jbfqjcxrm00chb429d3fyxc",
"model": "igorriti/flux-fileteado",
"version": "6186ef6882ff2c1764686f32fe3b27e562a27edfc62eef5c7223c06ab1689915",
"input": {
"aspect_ratio": "16:9",
"guidance_scale": 3.5,
"lora_scale": 1.22,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 3,
"output_format": "webp",
"output_quality": 80,
"prompt": "a photo of a women with his face painted, TOK style makeup"
},
"logs": "Using seed: 44001\nPrompt: a photo of a women with his face painted, TOK style makeup\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:20, 1.31it/s]\n 7%|▋ | 2/28 [00:01<00:17, 1.50it/s]\n 11%|█ | 3/28 [00:02<00:17, 1.41it/s]\n 14%|█▍ | 4/28 [00:02<00:17, 1.38it/s]\n 18%|█▊ | 5/28 [00:03<00:16, 1.36it/s]\n 21%|██▏ | 6/28 [00:04<00:16, 1.35it/s]\n 25%|██▌ | 7/28 [00:05<00:15, 1.34it/s]\n 29%|██▊ | 8/28 [00:05<00:14, 1.33it/s]\n 32%|███▏ | 9/28 [00:06<00:14, 1.33it/s]\n 36%|███▌ | 10/28 [00:07<00:13, 1.33it/s]\n 39%|███▉ | 11/28 [00:08<00:12, 1.33it/s]\n 43%|████▎ | 12/28 [00:08<00:12, 1.32it/s]\n 46%|████▋ | 13/28 [00:09<00:11, 1.32it/s]\n 50%|█████ | 14/28 [00:10<00:10, 1.32it/s]\n 54%|█████▎ | 15/28 [00:11<00:09, 1.32it/s]\n 57%|█████▋ | 16/28 [00:11<00:09, 1.32it/s]\n 61%|██████ | 17/28 [00:12<00:08, 1.32it/s]\n 64%|██████▍ | 18/28 [00:13<00:07, 1.32it/s]\n 68%|██████▊ | 19/28 [00:14<00:06, 1.32it/s]\n 71%|███████▏ | 20/28 [00:14<00:06, 1.32it/s]\n 75%|███████▌ | 21/28 [00:15<00:05, 1.32it/s]\n 79%|███████▊ | 22/28 [00:16<00:04, 1.32it/s]\n 82%|████████▏ | 23/28 [00:17<00:03, 1.32it/s]\n 86%|████████▌ | 24/28 [00:17<00:03, 1.32it/s]\n 89%|████████▉ | 25/28 [00:18<00:02, 1.32it/s]\n 93%|█████████▎| 26/28 [00:19<00:01, 1.32it/s]\n 96%|█████████▋| 27/28 [00:20<00:00, 1.32it/s]\n100%|██████████| 28/28 [00:21<00:00, 1.32it/s]\n100%|██████████| 28/28 [00:21<00:00, 1.33it/s]",
"output": [
"https://replicate.delivery/yhqm/pJFZsN5a1QqFMx0KOv9qDQGF69hzLWnoxAV6bTDlCFXtrx0E/out-0.webp",
"https://replicate.delivery/yhqm/3BCKsPH029bjNFB80fxw4gd6hHrfdOiHghWfWCksDGosdNmmA/out-1.webp",
"https://replicate.delivery/yhqm/eteqFdA6qLtzckFooSdFU3DieeA6EanQBA97DCE1WukZ7aMNB/out-2.webp"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-08-16T02:29:42.119Z",
"started_at": "2024-08-16T02:29:43.921123Z",
"completed_at": "2024-08-16T02:30:14.269239Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/n69jbfqjcxrm00chb429d3fyxc/cancel",
"get": "https://api.replicate.com/v1/predictions/n69jbfqjcxrm00chb429d3fyxc",
"web": "https://replicate.com/p/n69jbfqjcxrm00chb429d3fyxc"
},
"metrics": {
"predict_time": 30.348115891,
"total_time": 32.150239
}
}

