jyoung105/auraflow-v1 – Run with an API on Replicate

jyoung105 / auraflow-v1

AuraFlow: Fully open-sourced flow-based text-to-image generation model

Cold

Public
18 runs
L40S
GitHub
Weights

Run with an API

Playground API Examples README Versions

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=jyoung105/auraflow-v1

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run jyoung105/auraflow-v1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jyoung105/auraflow-v1:1fd682b7024a34320a1f89cf90d9961554b52282908599145247dbc97d3bbc93",
  {
    input: {
      steps: 50,
      width: 1024,
      height: 1024,
      prompt: "A man with hoodie on, illustration",
      num_images: 1,
      guidance_scale: 3.5
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run jyoung105/auraflow-v1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jyoung105/auraflow-v1:1fd682b7024a34320a1f89cf90d9961554b52282908599145247dbc97d3bbc93",
    input={
        "steps": 50,
        "width": 1024,
        "height": 1024,
        "prompt": "A man with hoodie on, illustration",
        "num_images": 1,
        "guidance_scale": 3.5
    }
)
print(output)

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=<paste-your-token-here>

Find your API token in your account settings.

Run jyoung105/auraflow-v1 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": "jyoung105/auraflow-v1:1fd682b7024a34320a1f89cf90d9961554b52282908599145247dbc97d3bbc93",
    "input": {
      "steps": 50,
      "width": 1024,
      "height": 1024,
      "prompt": "A man with hoodie on, illustration",
      "num_images": 1,
      "guidance_scale": 3.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-11-09T15:09:35.833733Z",
  "created_at": "2024-11-09T15:06:08.392000Z",
  "data_removed": false,
  "error": null,
  "id": "3310px08h1rgg0ck25vavpghfw",
  "input": {
    "steps": 50,
    "width": 1024,
    "height": 1024,
    "prompt": "A man with hoodie on, illustration",
    "num_images": 1,
    "guidance_scale": 3.5
  },
  "logs": "DEVICE: cuda\nDTYPE: torch.float16\nUsing seed: 24932\nFinish setup in 0.00012969970703125 secs.\n[Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:01<00:55,  1.12s/it]\n  4%|▍         | 2/50 [00:01<00:32,  1.50it/s]\n  6%|▌         | 3/50 [00:02<00:39,  1.19it/s]\n  8%|▊         | 4/50 [00:03<00:42,  1.09it/s]\n 10%|█         | 5/50 [00:04<00:43,  1.04it/s]\n 12%|█▏        | 6/50 [00:05<00:43,  1.01it/s]\n 14%|█▍        | 7/50 [00:06<00:43,  1.01s/it]\n 16%|█▌        | 8/50 [00:07<00:43,  1.02s/it]\n 18%|█▊        | 9/50 [00:08<00:42,  1.03s/it]\n 20%|██        | 10/50 [00:09<00:41,  1.04s/it]\n 22%|██▏       | 11/50 [00:10<00:40,  1.04s/it]\n 24%|██▍       | 12/50 [00:11<00:39,  1.05s/it]\n 26%|██▌       | 13/50 [00:13<00:38,  1.05s/it]\n 28%|██▊       | 14/50 [00:14<00:37,  1.05s/it]\n 30%|███       | 15/50 [00:15<00:36,  1.05s/it]\n 32%|███▏      | 16/50 [00:16<00:35,  1.05s/it]\n 34%|███▍      | 17/50 [00:17<00:34,  1.05s/it]\n 36%|███▌      | 18/50 [00:18<00:33,  1.05s/it]\n 38%|███▊      | 19/50 [00:19<00:32,  1.05s/it]\n 40%|████      | 20/50 [00:20<00:31,  1.05s/it]\n 42%|████▏     | 21/50 [00:21<00:30,  1.05s/it]\n 44%|████▍     | 22/50 [00:22<00:29,  1.05s/it]\n 46%|████▌     | 23/50 [00:23<00:28,  1.05s/it]\n 48%|████▊     | 24/50 [00:24<00:27,  1.05s/it]\n 50%|█████     | 25/50 [00:25<00:26,  1.05s/it]\n 52%|█████▏    | 26/50 [00:26<00:25,  1.05s/it]\n 54%|█████▍    | 27/50 [00:27<00:24,  1.05s/it]\n 56%|█████▌    | 28/50 [00:28<00:23,  1.05s/it]\n 58%|█████▊    | 29/50 [00:29<00:22,  1.05s/it]\n 60%|██████    | 30/50 [00:30<00:21,  1.05s/it]\n 62%|██████▏   | 31/50 [00:31<00:20,  1.05s/it]\n 64%|██████▍   | 32/50 [00:32<00:18,  1.05s/it]\n 66%|██████▌   | 33/50 [00:34<00:17,  1.05s/it]\n 68%|██████▊   | 34/50 [00:35<00:16,  1.05s/it]\n 70%|███████   | 35/50 [00:36<00:15,  1.05s/it]\n 72%|███████▏  | 36/50 [00:37<00:14,  1.06s/it]\n 74%|███████▍  | 37/50 [00:38<00:13,  1.06s/it]\n 76%|███████▌  | 38/50 [00:39<00:12,  1.06s/it]\n 78%|███████▊  | 39/50 [00:40<00:11,  1.06s/it]\n 80%|████████  | 40/50 [00:41<00:10,  1.06s/it]\n 82%|████████▏ | 41/50 [00:42<00:09,  1.06s/it]\n 84%|████████▍ | 42/50 [00:43<00:08,  1.06s/it]\n 86%|████████▌ | 43/50 [00:44<00:07,  1.06s/it]\n 88%|████████▊ | 44/50 [00:45<00:06,  1.06s/it]\n 90%|█████████ | 45/50 [00:46<00:05,  1.06s/it]\n 92%|█████████▏| 46/50 [00:47<00:04,  1.06s/it]\n 94%|█████████▍| 47/50 [00:48<00:03,  1.06s/it]\n 96%|█████████▌| 48/50 [00:49<00:02,  1.06s/it]\n 98%|█████████▊| 49/50 [00:50<00:01,  1.06s/it]\n100%|██████████| 50/50 [00:52<00:00,  1.06s/it]\n100%|██████████| 50/50 [00:52<00:00,  1.04s/it]\nFinish generation in 53.76023054122925 secs.",
  "metrics": {
    "predict_time": 55.617371161,
    "total_time": 207.441733
  },
  "output": [
    "https://replicate.delivery/pbxt/LR32PlkhiRYDJp5v2cWgKYgS2DqCh0lPW5bkAffFiiUu0SvTA/out_0.png"
  ],
  "started_at": "2024-11-09T15:08:40.216361Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3310px08h1rgg0ck25vavpghfw",
    "cancel": "https://api.replicate.com/v1/predictions/3310px08h1rgg0ck25vavpghfw/cancel"
  },
  "version": "3b2bba7d9da724277cd57b3b562f744c2a7ae66680a99332b25f8c7ccb94bd7b"
}

Generated in

55.6 seconds

Tweak it ShareReport

DEVICE: cuda
DTYPE: torch.float16
Using seed: 24932
Finish setup in 0.00012969970703125 secs.
[Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus
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Finish generation in 53.76023054122925 secs.

This output was created using a different version of the model, jyoung105/auraflow-v1:3b2bba7d.

Examples

View more examples

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

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