Prediction

Model

cesarvega/my-model-astrea-v2:5f41e397

6wakv9adwxrme0cmwvrv5t64mr

Status

Succeeded

Source

Web

Hardware

H100

Total duration

11.6s

Created

10 months ago

Webhook

–

Input

prompt: a photo of ASTREA washing in shorts a Purple Lamborghini diablo, no glasses, in Miami
aspect_ratio: 1:1
prompt_strength: 0.9
model: dev
num_outputs: 1
num_inference_steps: 35
guidance_scale: 8
output_format: webp
output_quality: 80
go_fast: false
megapixels: 1
lora_scale: 1
extra_lora_scale: 1

{
  "aspect_ratio": "1:1",
  "extra_lora_scale": 1,
  "go_fast": false,
  "guidance_scale": 8,
  "lora_scale": 1,
  "megapixels": "1",
  "model": "dev",
  "num_inference_steps": 35,
  "num_outputs": 1,
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "a photo of ASTREA  washing in shorts a Purple  Lamborghini diablo, no glasses, in Miami",
  "prompt_strength": 0.9
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_DDo**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

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: 8,
      lora_scale: 1,
      megapixels: "1",
      model: "dev",
      num_inference_steps: 35,
      num_outputs: 1,
      output_format: "webp",
      output_quality: 80,
      prompt: "a photo of ASTREA  washing in shorts a Purple  Lamborghini diablo, no glasses, in Miami",
      prompt_strength: 0.9
    }
  }
);

// 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.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_DDo**********************************

This is your API token. Keep it to yourself.

Import the client:

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": 8,
        "lora_scale": 1,
        "megapixels": "1",
        "model": "dev",
        "num_inference_steps": 35,
        "num_outputs": 1,
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "a photo of ASTREA  washing in shorts a Purple  Lamborghini diablo, no glasses, in Miami",
        "prompt_strength": 0.9
    }
)

# 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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_DDo**********************************

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": 8,
      "lora_scale": 1,
      "megapixels": "1",
      "model": "dev",
      "num_inference_steps": 35,
      "num_outputs": 1,
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "a photo of ASTREA  washing in shorts a Purple  Lamborghini diablo, no glasses, in Miami",
      "prompt_strength": 0.9
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "id": "6wakv9adwxrme0cmwvrv5t64mr",
  "model": "cesarvega/my-model-astrea-v2",
  "version": "5f41e3976581ee396f2d589d517d93a01551b4b6079361799f2dc1bfde9fe3c6",
  "input": {
    "aspect_ratio": "1:1",
    "extra_lora_scale": 1,
    "go_fast": false,
    "guidance_scale": 8,
    "lora_scale": 1,
    "megapixels": "1",
    "model": "dev",
    "num_inference_steps": 35,
    "num_outputs": 1,
    "output_format": "webp",
    "output_quality": 80,
    "prompt": "a photo of ASTREA  washing in shorts a Purple  Lamborghini diablo, no glasses, in Miami",
    "prompt_strength": 0.9
  },
  "logs": "free=28983736700928\nDownloading weights\n2025-02-08T19:02:41Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpzcro1s23/weights url=https://replicate.delivery/xezq/EAQLA1eQ6BSMAK4GIWo88tcuHo7VeJfD4ItCwpeKEeCy1sqhC/trained_model.tar\n2025-02-08T19:02:43Z | INFO  | [ Complete ] dest=/tmp/tmpzcro1s23/weights size=\"172 MB\" total_elapsed=2.109s url=https://replicate.delivery/xezq/EAQLA1eQ6BSMAK4GIWo88tcuHo7VeJfD4ItCwpeKEeCy1sqhC/trained_model.tar\nDownloaded weights in 2.14s\nLoaded LoRAs in 2.68s\nUsing seed: 30537\nPrompt: a photo of ASTREA  washing in shorts a Purple  Lamborghini diablo, no glasses, in Miami\n[!] txt2img mode\n  0%|          | 0/35 [00:00<?, ?it/s]\n  3%|▎         | 1/35 [00:00<00:08,  4.07it/s]\n  6%|▌         | 2/35 [00:00<00:07,  4.57it/s]\n  9%|▊         | 3/35 [00:00<00:07,  4.32it/s]\n 11%|█▏        | 4/35 [00:00<00:07,  4.22it/s]\n 14%|█▍        | 5/35 [00:01<00:07,  4.17it/s]\n 17%|█▋        | 6/35 [00:01<00:07,  4.13it/s]\n 20%|██        | 7/35 [00:01<00:06,  4.12it/s]\n 23%|██▎       | 8/35 [00:01<00:06,  4.09it/s]\n 26%|██▌       | 9/35 [00:02<00:06,  4.08it/s]\n 29%|██▊       | 10/35 [00:02<00:06,  4.08it/s]\n 31%|███▏      | 11/35 [00:02<00:05,  4.07it/s]\n 34%|███▍      | 12/35 [00:02<00:05,  4.06it/s]\n 37%|███▋      | 13/35 [00:03<00:05,  4.05it/s]\n 40%|████      | 14/35 [00:03<00:05,  4.06it/s]\n 43%|████▎     | 15/35 [00:03<00:04,  4.06it/s]\n 46%|████▌     | 16/35 [00:03<00:04,  4.06it/s]\n 49%|████▊     | 17/35 [00:04<00:04,  4.06it/s]\n 51%|█████▏    | 18/35 [00:04<00:04,  4.06it/s]\n 54%|█████▍    | 19/35 [00:04<00:03,  4.06it/s]\n 57%|█████▋    | 20/35 [00:04<00:03,  4.07it/s]\n 60%|██████    | 21/35 [00:05<00:03,  4.06it/s]\n 63%|██████▎   | 22/35 [00:05<00:03,  4.05it/s]\n 66%|██████▌   | 23/35 [00:05<00:02,  4.05it/s]\n 69%|██████▊   | 24/35 [00:05<00:02,  4.06it/s]\n 71%|███████▏  | 25/35 [00:06<00:02,  4.06it/s]\n 74%|███████▍  | 26/35 [00:06<00:02,  4.06it/s]\n 77%|███████▋  | 27/35 [00:06<00:01,  4.05it/s]\n 80%|████████  | 28/35 [00:06<00:01,  4.05it/s]\n 83%|████████▎ | 29/35 [00:07<00:01,  4.05it/s]\n 86%|████████▌ | 30/35 [00:07<00:01,  4.06it/s]\n 89%|████████▊ | 31/35 [00:07<00:00,  4.06it/s]\n 91%|█████████▏| 32/35 [00:07<00:00,  4.05it/s]\n 94%|█████████▍| 33/35 [00:08<00:00,  4.05it/s]\n 97%|█████████▋| 34/35 [00:08<00:00,  4.05it/s]\n100%|██████████| 35/35 [00:08<00:00,  4.05it/s]\n100%|██████████| 35/35 [00:08<00:00,  4.08it/s]\nTotal safe images: 1 out of 1",
  "output": [
    "https://replicate.delivery/xezq/YNGeJVntAu3waymymcOaowxvqOBC2hoQwdF8LHC6neRcxVNUA/out-0.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-02-08T19:02:41.383Z",
  "started_at": "2025-02-08T19:02:41.437763Z",
  "completed_at": "2025-02-08T19:02:52.981879Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/6wakv9adwxrme0cmwvrv5t64mr/cancel",
    "get": "https://api.replicate.com/v1/predictions/6wakv9adwxrme0cmwvrv5t64mr",
    "stream": "https://stream.replicate.com/v1/files/bcwr-shkef4mv5cfldcpeledfjq55ay4a2h4dbuw4fa2643rndkrcybqq",
    "web": "https://replicate.com/p/6wakv9adwxrme0cmwvrv5t64mr"
  },
  "metrics": {
    "predict_time": 11.544115546,
    "total_time": 11.598879
  }
}

Generated in

11.6 seconds

Tweak it Report

free=28983736700928 Downloading weights 2025-02-08T19:02:41Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpzcro1s23/weights url=https://replicate.delivery/xezq/EAQLA1eQ6BSMAK4GIWo88tcuHo7VeJfD4ItCwpeKEeCy1sqhC/trained_model.tar 2025-02-08T19:02:43Z | INFO | [ Complete ] dest=/tmp/tmpzcro1s23/weights size="172 MB" total_elapsed=2.109s url=https://replicate.delivery/xezq/EAQLA1eQ6BSMAK4GIWo88tcuHo7VeJfD4ItCwpeKEeCy1sqhC/trained_model.tar Downloaded weights in 2.14s Loaded LoRAs in 2.68s Using seed: 30537 Prompt: a photo of ASTREA washing in shorts a Purple Lamborghini diablo, no glasses, in Miami [!] txt2img mode 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:08, 4.07it/s] 6%|▌ | 2/35 [00:00<00:07, 4.57it/s] 9%|▊ | 3/35 [00:00<00:07, 4.32it/s] 11%|█▏ | 4/35 [00:00<00:07, 4.22it/s] 14%|█▍ | 5/35 [00:01<00:07, 4.17it/s] 17%|█▋ | 6/35 [00:01<00:07, 4.13it/s] 20%|██ | 7/35 [00:01<00:06, 4.12it/s] 23%|██▎ | 8/35 [00:01<00:06, 4.09it/s] 26%|██▌ | 9/35 [00:02<00:06, 4.08it/s] 29%|██▊ | 10/35 [00:02<00:06, 4.08it/s] 31%|███▏ | 11/35 [00:02<00:05, 4.07it/s] 34%|███▍ | 12/35 [00:02<00:05, 4.06it/s] 37%|███▋ | 13/35 [00:03<00:05, 4.05it/s] 40%|████ | 14/35 [00:03<00:05, 4.06it/s] 43%|████▎ | 15/35 [00:03<00:04, 4.06it/s] 46%|████▌ | 16/35 [00:03<00:04, 4.06it/s] 49%|████▊ | 17/35 [00:04<00:04, 4.06it/s] 51%|█████▏ | 18/35 [00:04<00:04, 4.06it/s] 54%|█████▍ | 19/35 [00:04<00:03, 4.06it/s] 57%|█████▋ | 20/35 [00:04<00:03, 4.07it/s] 60%|██████ | 21/35 [00:05<00:03, 4.06it/s] 63%|██████▎ | 22/35 [00:05<00:03, 4.05it/s] 66%|██████▌ | 23/35 [00:05<00:02, 4.05it/s] 69%|██████▊ | 24/35 [00:05<00:02, 4.06it/s] 71%|███████▏ | 25/35 [00:06<00:02, 4.06it/s] 74%|███████▍ | 26/35 [00:06<00:02, 4.06it/s] 77%|███████▋ | 27/35 [00:06<00:01, 4.05it/s] 80%|████████ | 28/35 [00:06<00:01, 4.05it/s] 83%|████████▎ | 29/35 [00:07<00:01, 4.05it/s] 86%|████████▌ | 30/35 [00:07<00:01, 4.06it/s] 89%|████████▊ | 31/35 [00:07<00:00, 4.06it/s] 91%|█████████▏| 32/35 [00:07<00:00, 4.05it/s] 94%|█████████▍| 33/35 [00:08<00:00, 4.05it/s] 97%|█████████▋| 34/35 [00:08<00:00, 4.05it/s] 100%|██████████| 35/35 [00:08<00:00, 4.05it/s] 100%|██████████| 35/35 [00:08<00:00, 4.08it/s] Total safe images: 1 out of 1