typetext
{
"aspect_ratio": "1:1",
"extra_lora_scale": 0.8,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "Position the LIBREINTENSE bottle against an urban cityscape at night with city lights in the background, evoking a modern, urban lifestyle."
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_Twz**********************************
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 someone12dd/libreintense using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"someone12dd/libreintense:98c7b94d124c41191c809d5c16c704b9ad19f25ca74f29072be6d73dd454020f",
{
input: {
aspect_ratio: "1:1",
extra_lora_scale: 0.8,
guidance_scale: 3.5,
lora_scale: 1,
model: "dev",
num_inference_steps: 28,
num_outputs: 1,
output_format: "webp",
output_quality: 80,
prompt: "Position the LIBREINTENSE bottle against an urban cityscape at night with city lights in the background, evoking a modern, urban lifestyle."
}
}
);
// 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_Twz**********************************
This is your API token. Keep it to yourself.
import replicate
Run someone12dd/libreintense using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"someone12dd/libreintense:98c7b94d124c41191c809d5c16c704b9ad19f25ca74f29072be6d73dd454020f",
input={
"aspect_ratio": "1:1",
"extra_lora_scale": 0.8,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "Position the LIBREINTENSE bottle against an urban cityscape at night with city lights in the background, evoking a modern, urban lifestyle."
}
)
# 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_Twz**********************************
This is your API token. Keep it to yourself.
Run someone12dd/libreintense 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": "someone12dd/libreintense:98c7b94d124c41191c809d5c16c704b9ad19f25ca74f29072be6d73dd454020f",
"input": {
"aspect_ratio": "1:1",
"extra_lora_scale": 0.8,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "Position the LIBREINTENSE bottle against an urban cityscape at night with city lights in the background, evoking a modern, urban lifestyle."
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "s4q1jcsn11rm20chpfg8aw31fr",
"model": "someone12dd/libreintense",
"version": "98c7b94d124c41191c809d5c16c704b9ad19f25ca74f29072be6d73dd454020f",
"input": {
"aspect_ratio": "1:1",
"extra_lora_scale": 0.8,
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "Position the LIBREINTENSE bottle against an urban cityscape at night with city lights in the background, evoking a modern, urban lifestyle."
},
"logs": "Using seed: 34175\nPrompt: Position the LIBREINTENSE bottle against an urban cityscape at night with city lights in the background, evoking a modern, urban lifestyle.\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 9.68s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.66it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.20it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.94it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.82it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.76it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.72it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.71it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.70it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.67it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.67it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.67it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.67it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.67it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.67it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.67it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.67it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.67it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.67it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.67it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.67it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.65it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.66it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.66it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]",
"output": [
"https://replicate.delivery/yhqm/yLXgzs67mVbEOhToVClFqX3GLs3HpReoejBriwfwvuSrw1xmA/out-0.webp"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-09-02T17:55:01Z",
"started_at": "2024-09-02T17:55:16.068045Z",
"completed_at": "2024-09-02T17:55:33.873121Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/s4q1jcsn11rm20chpfg8aw31fr/cancel",
"get": "https://api.replicate.com/v1/predictions/s4q1jcsn11rm20chpfg8aw31fr",
"web": "https://replicate.com/p/s4q1jcsn11rm20chpfg8aw31fr"
},
"metrics": {
"predict_time": 17.805076769,
"total_time": 32.873121
}
}