typetext
{
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 6.57,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 35,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "Generate a photo of ASTREA at a Parisian fashion show, strutting down the runway in a bold avant-garde couture outfit, with flashing cameras and an audience full of celebrities.",
"prompt_strength": 0.85
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_Vhi**********************************
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 cesarvega/my-model-astrea-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"cesarvega/my-model-astrea-v2:5f41e3976581ee396f2d589d517d93a01551b4b6079361799f2dc1bfde9fe3c6",
{
input: {
aspect_ratio: "1:1",
extra_lora_scale: 1,
go_fast: false,
guidance_scale: 6.57,
lora_scale: 1,
megapixels: "1",
model: "dev",
num_inference_steps: 35,
num_outputs: 1,
output_format: "webp",
output_quality: 80,
prompt: "Generate a photo of ASTREA at a Parisian fashion show, strutting down the runway in a bold avant-garde couture outfit, with flashing cameras and an audience full of celebrities.",
prompt_strength: 0.85
}
}
);
// 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_Vhi**********************************
This is your API token. Keep it to yourself.
import replicate
Run cesarvega/my-model-astrea-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"cesarvega/my-model-astrea-v2:5f41e3976581ee396f2d589d517d93a01551b4b6079361799f2dc1bfde9fe3c6",
input={
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": False,
"guidance_scale": 6.57,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 35,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "Generate a photo of ASTREA at a Parisian fashion show, strutting down the runway in a bold avant-garde couture outfit, with flashing cameras and an audience full of celebrities.",
"prompt_strength": 0.85
}
)
# 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_Vhi**********************************
This is your API token. Keep it to yourself.
Run cesarvega/my-model-astrea-v2 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": "cesarvega/my-model-astrea-v2:5f41e3976581ee396f2d589d517d93a01551b4b6079361799f2dc1bfde9fe3c6",
"input": {
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 6.57,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 35,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "Generate a photo of ASTREA at a Parisian fashion show, strutting down the runway in a bold avant-garde couture outfit, with flashing cameras and an audience full of celebrities.",
"prompt_strength": 0.85
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "45a3e8vee9rmc0cmxcnv38px58",
"model": "cesarvega/my-model-astrea-v2",
"version": "5f41e3976581ee396f2d589d517d93a01551b4b6079361799f2dc1bfde9fe3c6",
"input": {
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 6.57,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 35,
"num_outputs": 1,
"output_format": "webp",
"output_quality": 80,
"prompt": "Generate a photo of ASTREA at a Parisian fashion show, strutting down the runway in a bold avant-garde couture outfit, with flashing cameras and an audience full of celebrities.",
"prompt_strength": 0.85
},
"logs": "Loaded LoRAs in 0.56s\nUsing seed: 22935\nPrompt: Generate a photo of ASTREA at a Parisian fashion show, strutting down the runway in a bold avant-garde couture outfit, with flashing cameras and an audience full of celebrities.\n[!] txt2img mode\n 0%| | 0/35 [00:00<?, ?it/s]\n 3%|▎ | 1/35 [00:00<00:08, 4.03it/s]\n 6%|▌ | 2/35 [00:00<00:07, 4.55it/s]\n 9%|▊ | 3/35 [00:00<00:07, 4.29it/s]\n 11%|█▏ | 4/35 [00:00<00:07, 4.18it/s]\n 14%|█▍ | 5/35 [00:01<00:07, 4.12it/s]\n 17%|█▋ | 6/35 [00:01<00:07, 4.09it/s]\n 20%|██ | 7/35 [00:01<00:06, 4.07it/s]\n 23%|██▎ | 8/35 [00:01<00:06, 4.06it/s]\n 26%|██▌ | 9/35 [00:02<00:06, 4.05it/s]\n 29%|██▊ | 10/35 [00:02<00:06, 4.04it/s]\n 31%|███▏ | 11/35 [00:02<00:05, 4.04it/s]\n 34%|███▍ | 12/35 [00:02<00:05, 4.04it/s]\n 37%|███▋ | 13/35 [00:03<00:05, 4.03it/s]\n 40%|████ | 14/35 [00:03<00:05, 4.03it/s]\n 43%|████▎ | 15/35 [00:03<00:04, 4.03it/s]\n 46%|████▌ | 16/35 [00:03<00:04, 4.03it/s]\n 49%|████▊ | 17/35 [00:04<00:04, 4.03it/s]\n 51%|█████▏ | 18/35 [00:04<00:04, 4.03it/s]\n 54%|█████▍ | 19/35 [00:04<00:03, 4.03it/s]\n 57%|█████▋ | 20/35 [00:04<00:03, 4.02it/s]\n 60%|██████ | 21/35 [00:05<00:03, 4.03it/s]\n 63%|██████▎ | 22/35 [00:05<00:03, 4.03it/s]\n 66%|██████▌ | 23/35 [00:05<00:02, 4.03it/s]\n 69%|██████▊ | 24/35 [00:05<00:02, 4.03it/s]\n 71%|███████▏ | 25/35 [00:06<00:02, 4.03it/s]\n 74%|███████▍ | 26/35 [00:06<00:02, 4.03it/s]\n 77%|███████▋ | 27/35 [00:06<00:01, 4.03it/s]\n 80%|████████ | 28/35 [00:06<00:01, 4.03it/s]\n 83%|████████▎ | 29/35 [00:07<00:01, 4.03it/s]\n 86%|████████▌ | 30/35 [00:07<00:01, 4.03it/s]\n 89%|████████▊ | 31/35 [00:07<00:00, 4.03it/s]\n 91%|█████████▏| 32/35 [00:07<00:00, 4.03it/s]\n 94%|█████████▍| 33/35 [00:08<00:00, 4.03it/s]\n 97%|█████████▋| 34/35 [00:08<00:00, 4.03it/s]\n100%|██████████| 35/35 [00:08<00:00, 4.03it/s]\n100%|██████████| 35/35 [00:08<00:00, 4.05it/s]\nTotal safe images: 1 out of 1",
"output": [
"https://replicate.delivery/xezq/zEygLyjeaV3LAqmpsUKoozX53QLbKgNRCFJ42fRh33ohFnNUA/out-0.webp"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2025-02-09T14:44:39.666Z",
"started_at": "2025-02-09T14:44:39.672557Z",
"completed_at": "2025-02-09T14:44:49.140458Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/45a3e8vee9rmc0cmxcnv38px58/cancel",
"get": "https://api.replicate.com/v1/predictions/45a3e8vee9rmc0cmxcnv38px58",
"stream": "https://stream.replicate.com/v1/files/bcwr-qsto3bw3z6z6yc3k74miso56wab6rg5y63xpbhszt2o45imauwqa",
"web": "https://replicate.com/p/45a3e8vee9rmc0cmxcnv38px58"
},
"metrics": {
"predict_time": 9.4679004,
"total_time": 9.474458
}
}