lucataco/aura-flow-v0.2:e784141e | Run with an API on Replicate

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lucataco /aura-flow-v0.2:e784141e

Playground API

Input

prompt

string

Shift + Return to add a new line

Default: ""

width

integer

(minimum: 512, maximum: 2048)

The width of the image

Default: 1024

height

integer

(minimum: 512, maximum: 2048)

The height of the image

Default: 1024

output_format

string

Format of the output images

Default: "webp"

seed

integer

Set a seed for reproducibility. Random by default.

Including negative_prompt and 6 more...

negative_prompt

string

Shift + Return to add a new line

Things you do not want to see in your image

Default: ""

number_of_images

integer

(minimum: 1, maximum: 10)

The number of images to generate

Default: 1

cfg

number

(minimum: 0, maximum: 20)

The guidance scale tells the model how similar the output should be to the prompt.

Default: 3.5

sampler

string

An enumeration.

Default: "uni_pc"

scheduler

string

An enumeration.

Default: "normal"

shift

number

(minimum: 0, maximum: 10)

The timestep scheduling shift; shift values higher than 1.0 are better at managing noise in higher resolutions.

Default: 1.73

output_quality

integer

(minimum: 0, maximum: 100)

Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.

Default: 80

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

npx create-replicate --model=lucataco/aura-flow-v0.2

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";
import fs from "node:fs";

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

Run lucataco/aura-flow-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/aura-flow-v0.2:e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee",
  {
    input: {
      cfg: 3.5,
      shift: 1,
      width: 1024,
      height: 1024,
      prompt: "A photo of a lavender cat",
      sampler: "uni_pc",
      scheduler: "normal",
      output_format: "webp",
      output_quality: 80,
      negative_prompt: "",
      number_of_images: 1
    }
  }
);

// 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 lucataco/aura-flow-v0.2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/aura-flow-v0.2:e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee",
    input={
        "cfg": 3.5,
        "shift": 1,
        "width": 1024,
        "height": 1024,
        "prompt": "A photo of a lavender cat",
        "sampler": "uni_pc",
        "scheduler": "normal",
        "output_format": "webp",
        "output_quality": 80,
        "negative_prompt": "",
        "number_of_images": 1
    }
)
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 lucataco/aura-flow-v0.2 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": "lucataco/aura-flow-v0.2:e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee",
    "input": {
      "cfg": 3.5,
      "shift": 1,
      "width": 1024,
      "height": 1024,
      "prompt": "A photo of a lavender cat",
      "sampler": "uni_pc",
      "scheduler": "normal",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-07-27T18:20:07.143054Z",
  "created_at": "2024-07-27T18:19:54.146000Z",
  "data_removed": false,
  "error": null,
  "id": "kh41eknhm9rj00cgynnvh1excr",
  "input": {
    "cfg": 3.5,
    "shift": 1,
    "width": 1024,
    "height": 1024,
    "prompt": "A photo of a lavender cat",
    "sampler": "uni_pc",
    "scheduler": "normal",
    "output_format": "webp",
    "output_quality": 80,
    "negative_prompt": "",
    "number_of_images": 1
  },
  "logs": "Random seed set to: 1905931290\nRunning workflow\ngot prompt\nExecuting node 3, title: KSampler, class type: KSampler\n  0%|          | 0/25 [00:00<?, ?it/s]\n  8%|▊         | 2/25 [00:00<00:06,  3.52it/s]\n 12%|█▏        | 3/25 [00:01<00:08,  2.72it/s]\n 16%|█▌        | 4/25 [00:01<00:08,  2.44it/s]\n 20%|██        | 5/25 [00:02<00:08,  2.30it/s]\n 24%|██▍       | 6/25 [00:02<00:08,  2.22it/s]\n 28%|██▊       | 7/25 [00:02<00:08,  2.17it/s]\n 32%|███▏      | 8/25 [00:03<00:07,  2.13it/s]\n 36%|███▌      | 9/25 [00:03<00:07,  2.11it/s]\n 40%|████      | 10/25 [00:04<00:07,  2.10it/s]\n 44%|████▍     | 11/25 [00:04<00:06,  2.09it/s]\n 48%|████▊     | 12/25 [00:05<00:06,  2.08it/s]\n 52%|█████▏    | 13/25 [00:05<00:05,  2.08it/s]\n 56%|█████▌    | 14/25 [00:06<00:05,  2.08it/s]\n 60%|██████    | 15/25 [00:06<00:04,  2.07it/s]\n 64%|██████▍   | 16/25 [00:07<00:04,  2.07it/s]\n 68%|██████▊   | 17/25 [00:07<00:03,  2.07it/s]\n 72%|███████▏  | 18/25 [00:08<00:03,  2.07it/s]\n 76%|███████▌  | 19/25 [00:08<00:02,  2.07it/s]\n 80%|████████  | 20/25 [00:09<00:02,  2.07it/s]\n 84%|████████▍ | 21/25 [00:09<00:01,  2.07it/s]\n 88%|████████▊ | 22/25 [00:10<00:01,  2.06it/s]\n 92%|█████████▏| 23/25 [00:10<00:00,  2.06it/s]\n 96%|█████████▌| 24/25 [00:11<00:00,  2.06it/s]\n100%|██████████| 25/25 [00:12<00:00,  1.66it/s]\n100%|██████████| 25/25 [00:12<00:00,  2.07it/s]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 12.45 seconds\noutputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 12.986397748,
    "total_time": 12.997054
  },
  "output": [
    "https://replicate.delivery/yhqm/nlA4mIDPNFocFNks4CG90QPffqXmq2bzgqsUJOiCXWyWxuMTA/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-07-27T18:19:54.156656Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/kh41eknhm9rj00cgynnvh1excr",
    "cancel": "https://api.replicate.com/v1/predictions/kh41eknhm9rj00cgynnvh1excr/cancel"
  },
  "version": "e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee"
}

Generated in

13.0 seconds

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