typetext
{
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 4,
"output_format": "webp",
"output_quality": 80,
"prompt": "beautiful anime artwork, a cute anime catgirl that looks depressed holding a piece of paper with a smile drawn on it over her mouth, she is about to cry"
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_UPA**********************************
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 jarvis-labs2024/flux-raylene using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"jarvis-labs2024/flux-raylene:5574556226d11e0f10855a957d91f118a9178c8fc77e7e7b18830627ce3184f1",
{
input: {
aspect_ratio: "1:1",
guidance_scale: 3.5,
lora_scale: 1,
model: "dev",
num_inference_steps: 28,
num_outputs: 4,
output_format: "webp",
output_quality: 80,
prompt: "beautiful anime artwork, a cute anime catgirl that looks depressed holding a piece of paper with a smile drawn on it over her mouth, she is about to cry"
}
}
);
// 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_UPA**********************************
This is your API token. Keep it to yourself.
import replicate
Run jarvis-labs2024/flux-raylene using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"jarvis-labs2024/flux-raylene:5574556226d11e0f10855a957d91f118a9178c8fc77e7e7b18830627ce3184f1",
input={
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 4,
"output_format": "webp",
"output_quality": 80,
"prompt": "beautiful anime artwork, a cute anime catgirl that looks depressed holding a piece of paper with a smile drawn on it over her mouth, she is about to cry"
}
)
# 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_UPA**********************************
This is your API token. Keep it to yourself.
Run jarvis-labs2024/flux-raylene 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": "jarvis-labs2024/flux-raylene:5574556226d11e0f10855a957d91f118a9178c8fc77e7e7b18830627ce3184f1",
"input": {
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 4,
"output_format": "webp",
"output_quality": 80,
"prompt": "beautiful anime artwork, a cute anime catgirl that looks depressed holding a piece of paper with a smile drawn on it over her mouth, she is about to cry"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "aq09nfrqkhrm60chcg5b3an35g",
"model": "jarvis-labs2024/flux-raylene",
"version": "5574556226d11e0f10855a957d91f118a9178c8fc77e7e7b18830627ce3184f1",
"input": {
"aspect_ratio": "1:1",
"guidance_scale": 3.5,
"lora_scale": 1,
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 4,
"output_format": "webp",
"output_quality": 80,
"prompt": "beautiful anime artwork, a cute anime catgirl that looks depressed holding a piece of paper with a smile drawn on it over her mouth, she is about to cry"
},
"logs": "Using seed: 45143\nPrompt: beautiful anime artwork, a cute anime catgirl that looks depressed holding a piece of paper with a smile drawn on it over her mouth, she is about to cry\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9577493422080\nDownloading weights\n2024-08-18T05:53:39Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/28b7c1135bc8c35b url=https://replicate.delivery/yhqm/jpM5dp9JqOoYPdvF2lXsdWC0cV0XBHWQHmflBYz9L3IegyTTA/trained_model.tar\n2024-08-18T05:53:40Z | INFO | [ Complete ] dest=/src/weights-cache/28b7c1135bc8c35b size=\"172 MB\" total_elapsed=1.807s url=https://replicate.delivery/yhqm/jpM5dp9JqOoYPdvF2lXsdWC0cV0XBHWQHmflBYz9L3IegyTTA/trained_model.tar\nb''\nDownloaded weights in 1.8388018608093262 seconds\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:28, 1.06s/it]\n 7%|▋ | 2/28 [00:01<00:23, 1.11it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.06it/s]\n 14%|█▍ | 4/28 [00:03<00:23, 1.04it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.02it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.01it/s]\n 25%|██▌ | 7/28 [00:06<00:20, 1.01it/s]\n 29%|██▊ | 8/28 [00:07<00:19, 1.01it/s]\n 32%|███▏ | 9/28 [00:08<00:18, 1.00it/s]\n 36%|███▌ | 10/28 [00:09<00:17, 1.00it/s]\n 39%|███▉ | 11/28 [00:10<00:16, 1.00it/s]\n 43%|████▎ | 12/28 [00:11<00:15, 1.00it/s]\n 46%|████▋ | 13/28 [00:12<00:14, 1.00it/s]\n 50%|█████ | 14/28 [00:13<00:13, 1.00it/s]\n 54%|█████▎ | 15/28 [00:14<00:12, 1.00it/s]\n 57%|█████▋ | 16/28 [00:15<00:11, 1.00it/s]\n 61%|██████ | 17/28 [00:16<00:10, 1.00it/s]\n 64%|██████▍ | 18/28 [00:17<00:09, 1.00it/s]\n 68%|██████▊ | 19/28 [00:18<00:08, 1.00it/s]\n 71%|███████▏ | 20/28 [00:19<00:07, 1.00it/s]\n 75%|███████▌ | 21/28 [00:20<00:06, 1.00it/s]\n 79%|███████▊ | 22/28 [00:21<00:05, 1.00it/s]\n 82%|████████▏ | 23/28 [00:22<00:04, 1.00it/s]\n 86%|████████▌ | 24/28 [00:23<00:03, 1.00it/s]\n 89%|████████▉ | 25/28 [00:24<00:03, 1.00s/it]\n 93%|█████████▎| 26/28 [00:25<00:02, 1.00s/it]\n 96%|█████████▋| 27/28 [00:26<00:01, 1.00s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.00s/it]\n100%|██████████| 28/28 [00:27<00:00, 1.01it/s]",
"output": [
"https://replicate.delivery/yhqm/Uge9KfKpYfZnXo1LHFXkLl0tfTPOf2N5cOgF6ImWx0K4Rf80E/out-0.webp",
"https://replicate.delivery/yhqm/q3bIkKZ6MZ6rAJf9pb0LSsCtwf3IXCSWH7Fzor4UkXqQ6zTTA/out-1.webp",
"https://replicate.delivery/yhqm/rfvn4Rh1NyzFT6tBCqJwOU18PKReo8ffe0mOFhBdjbaDSf80E/out-2.webp",
"https://replicate.delivery/yhqm/t2pIqgrOLiamD51RQamVExRJkctyFOh516FZgnjObiKke5pJA/out-3.webp"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-08-18T05:51:08.7Z",
"started_at": "2024-08-18T05:53:39.01072Z",
"completed_at": "2024-08-18T05:54:24.226277Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/aq09nfrqkhrm60chcg5b3an35g/cancel",
"get": "https://api.replicate.com/v1/predictions/aq09nfrqkhrm60chcg5b3an35g",
"web": "https://replicate.com/p/aq09nfrqkhrm60chcg5b3an35g"
},
"metrics": {
"predict_time": 45.215556301,
"total_time": 195.526277
}
}


