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

Version

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lucataco /aura-flow-v0.2:e784141e

Input

prompt

string

Shift + Return to add a new line

A refreshing scene where a glass of freshly squeezed orange juice stands prominently at the center, bathed in warm, golden sunlight that highlights the vibrant, citrus hues of the juice. The glass is intricately detailed, showing condensation droplets that glisten like tiny jewels. Surrounding the base of the glass, scattered orange slices and lush green leaves add a touch of natural beauty and freshness. Above the glass, a dynamic splash of orange juice is captured mid-air, forming the word "Orange" in a fluid, playful script. The splash is so vivid and realistic that each droplet seems to dance in the air, creating a sense of movement and energy. In the background, a serene orchard with rows of orange trees stretches out under a clear blue sky, their branches heavy with ripe oranges ready for harvest. Rays of sunlight filter through the leaves, casting dappled shadows on the ground. A gentle breeze rustles the leaves, adding a sense of calm and tranquility to the scene. The entire scene evokes a sense of purity, freshness, and vitality, inviting viewers to experience the simple joy of a glass of fresh orange juice.A refreshing scene where a glass of freshly squeezed orange juice stands prominently at the center, bathed in warm, golden sunlight that highlights the vibrant, citrus hues of the juice. The glass is intricately detailed, showing condensation droplets that glisten like tiny jewels. Surrounding the base of the glass, scattered orange slices and lush green leaves add a touch of natural beauty and freshness. Above the glass, a dynamic splash of orange juice is captured mid-air, forming the word "Orange" in a fluid, playful script. The splash is so vivid and realistic that each droplet seems to dance in the air, creating a sense of movement and energy. In the background, a serene orchard with rows of orange trees stretches out under a clear blue sky, their branches heavy with ripe oranges ready for harvest. Rays of sunlight filter through the leaves, casting dappled shadows on the ground. A gentle breeze rustles the leaves, adding a sense of calm and tranquility to the scene. The entire scene evokes a sense of purity, freshness, and vitality, inviting viewers to experience the simple joy of a glass of fresh orange juice.

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: 2,
      width: 1024,
      height: 1024,
      prompt: "A refreshing scene where a glass of freshly squeezed orange juice stands prominently at the center, bathed in warm, golden sunlight that highlights the vibrant, citrus hues of the juice. The glass is intricately detailed, showing condensation droplets that glisten like tiny jewels. Surrounding the base of the glass, scattered orange slices and lush green leaves add a touch of natural beauty and freshness. Above the glass, a dynamic splash of orange juice is captured mid-air, forming the word \"Orange\" in a fluid, playful script. The splash is so vivid and realistic that each droplet seems to dance in the air, creating a sense of movement and energy. In the background, a serene orchard with rows of orange trees stretches out under a clear blue sky, their branches heavy with ripe oranges ready for harvest. Rays of sunlight filter through the leaves, casting dappled shadows on the ground. A gentle breeze rustles the leaves, adding a sense of calm and tranquility to the scene. The entire scene evokes a sense of purity, freshness, and vitality, inviting viewers to experience the simple joy of a glass of fresh orange juice.",
      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": 2,
        "width": 1024,
        "height": 1024,
        "prompt": "A refreshing scene where a glass of freshly squeezed orange juice stands prominently at the center, bathed in warm, golden sunlight that highlights the vibrant, citrus hues of the juice. The glass is intricately detailed, showing condensation droplets that glisten like tiny jewels. Surrounding the base of the glass, scattered orange slices and lush green leaves add a touch of natural beauty and freshness. Above the glass, a dynamic splash of orange juice is captured mid-air, forming the word \"Orange\" in a fluid, playful script. The splash is so vivid and realistic that each droplet seems to dance in the air, creating a sense of movement and energy. In the background, a serene orchard with rows of orange trees stretches out under a clear blue sky, their branches heavy with ripe oranges ready for harvest. Rays of sunlight filter through the leaves, casting dappled shadows on the ground. A gentle breeze rustles the leaves, adding a sense of calm and tranquility to the scene. The entire scene evokes a sense of purity, freshness, and vitality, inviting viewers to experience the simple joy of a glass of fresh orange juice.",
        "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": 2,
      "width": 1024,
      "height": 1024,
      "prompt": "A refreshing scene where a glass of freshly squeezed orange juice stands prominently at the center, bathed in warm, golden sunlight that highlights the vibrant, citrus hues of the juice. The glass is intricately detailed, showing condensation droplets that glisten like tiny jewels. Surrounding the base of the glass, scattered orange slices and lush green leaves add a touch of natural beauty and freshness. Above the glass, a dynamic splash of orange juice is captured mid-air, forming the word \\"Orange\\" in a fluid, playful script. The splash is so vivid and realistic that each droplet seems to dance in the air, creating a sense of movement and energy. In the background, a serene orchard with rows of orange trees stretches out under a clear blue sky, their branches heavy with ripe oranges ready for harvest. Rays of sunlight filter through the leaves, casting dappled shadows on the ground. A gentle breeze rustles the leaves, adding a sense of calm and tranquility to the scene. The entire scene evokes a sense of purity, freshness, and vitality, inviting viewers to experience the simple joy of a glass of fresh orange juice.",
      "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": "2024-07-27T18:20:41.003777Z",
  "created_at": "2024-07-27T18:20:27.729000Z",
  "data_removed": false,
  "error": null,
  "id": "cd1mc81mt5rj60cgynp9xqydfr",
  "input": {
    "cfg": 3.5,
    "shift": 2,
    "width": 1024,
    "height": 1024,
    "prompt": "A refreshing scene where a glass of freshly squeezed orange juice stands prominently at the center, bathed in warm, golden sunlight that highlights the vibrant, citrus hues of the juice. The glass is intricately detailed, showing condensation droplets that glisten like tiny jewels. Surrounding the base of the glass, scattered orange slices and lush green leaves add a touch of natural beauty and freshness. Above the glass, a dynamic splash of orange juice is captured mid-air, forming the word \"Orange\" in a fluid, playful script. The splash is so vivid and realistic that each droplet seems to dance in the air, creating a sense of movement and energy. In the background, a serene orchard with rows of orange trees stretches out under a clear blue sky, their branches heavy with ripe oranges ready for harvest. Rays of sunlight filter through the leaves, casting dappled shadows on the ground. A gentle breeze rustles the leaves, adding a sense of calm and tranquility to the scene. The entire scene evokes a sense of purity, freshness, and vitality, inviting viewers to experience the simple joy of a glass of fresh orange juice.",
    "sampler": "uni_pc",
    "scheduler": "normal",
    "output_format": "webp",
    "output_quality": 80,
    "negative_prompt": "",
    "number_of_images": 1
  },
  "logs": "Random seed set to: 565989316\nRunning workflow\ngot prompt\nExecuting node 10, title: ModelSamplingAuraFlow, class type: ModelSamplingAuraFlow\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 3, title: KSampler, class type: KSampler\nRequested to load AuraFlow\nLoading 1 new model\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:06,  3.44it/s]\n  8%|▊         | 2/25 [00:00<00:09,  2.46it/s]\n 12%|█▏        | 3/25 [00:01<00:09,  2.25it/s]\n 16%|█▌        | 4/25 [00:01<00:09,  2.17it/s]\n 20%|██        | 5/25 [00:02<00:09,  2.12it/s]\n 24%|██▍       | 6/25 [00:02<00:09,  2.10it/s]\n 28%|██▊       | 7/25 [00:03<00:08,  2.08it/s]\n 32%|███▏      | 8/25 [00:03<00:08,  2.07it/s]\n 36%|███▌      | 9/25 [00:04<00:07,  2.06it/s]\n 40%|████      | 10/25 [00:04<00:07,  2.06it/s]\n 44%|████▍     | 11/25 [00:05<00:06,  2.05it/s]\n 48%|████▊     | 12/25 [00:05<00:06,  2.05it/s]\n 52%|█████▏    | 13/25 [00:06<00:05,  2.05it/s]\n 56%|█████▌    | 14/25 [00:06<00:05,  2.05it/s]\n 60%|██████    | 15/25 [00:07<00:04,  2.05it/s]\n 64%|██████▍   | 16/25 [00:07<00:04,  2.04it/s]\n 68%|██████▊   | 17/25 [00:08<00:03,  2.04it/s]\n 72%|███████▏  | 18/25 [00:08<00:03,  2.04it/s]\n 76%|███████▌  | 19/25 [00:09<00:02,  2.04it/s]\n 80%|████████  | 20/25 [00:09<00:02,  2.04it/s]\n 84%|████████▍ | 21/25 [00:10<00:01,  2.04it/s]\n 88%|████████▊ | 22/25 [00:10<00:01,  2.04it/s]\n 92%|█████████▏| 23/25 [00:11<00:00,  2.04it/s]\n 96%|█████████▌| 24/25 [00:11<00:00,  2.04it/s]\n100%|██████████| 25/25 [00:12<00:00,  1.82it/s]\n100%|██████████| 25/25 [00:12<00:00,  2.04it/s]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 12.69 seconds\noutputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 13.264458328,
    "total_time": 13.274777
  },
  "output": [
    "https://replicate.delivery/yhqm/Kia0Hu2UVcZNJRpYX24HEc2QylPtL7BdmD2N4DgH7nPeYXmJA/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-07-27T18:20:27.739319Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/cd1mc81mt5rj60cgynp9xqydfr",
    "cancel": "https://api.replicate.com/v1/predictions/cd1mc81mt5rj60cgynp9xqydfr/cancel"
  },
  "version": "e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee"
}

Generated in

13.3 seconds

Tweak it ShareReport

Random seed set to: 565989316
Running workflow
got prompt
Executing node 10, title: ModelSamplingAuraFlow, class type: ModelSamplingAuraFlow
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 3, title: KSampler, class type: KSampler
Requested to load AuraFlow
Loading 1 new model
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Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 9, title: Save Image, class type: SaveImage
Prompt executed in 12.69 seconds
outputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
ComfyUI_00001_.png