Prediction

kh41eknhm9rj00cgynnvh1excr

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

13.0s

Created

10 months ago

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

{
  "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
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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.

pip install replicate

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.

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

lucataco/aura-flow-v0.2:e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee

Prediction

Model

cd1mc81mt5rj60cgynp9xqydfr

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

13.3s

Created

10 months ago

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

{
  "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
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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.

pip install replicate

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.

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

lucataco/aura-flow-v0.2:e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee

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
  0%|          | 0/25 [00:00<?, ?it/s]
  4%|▍         | 1/25 [00:00<00:06,  3.44it/s]
  8%|▊         | 2/25 [00:00<00:09,  2.46it/s]
 12%|█▏        | 3/25 [00:01<00:09,  2.25it/s]
 16%|█▌        | 4/25 [00:01<00:09,  2.17it/s]
 20%|██        | 5/25 [00:02<00:09,  2.12it/s]
 24%|██▍       | 6/25 [00:02<00:09,  2.10it/s]
 28%|██▊       | 7/25 [00:03<00:08,  2.08it/s]
 32%|███▏      | 8/25 [00:03<00:08,  2.07it/s]
 36%|███▌      | 9/25 [00:04<00:07,  2.06it/s]
 40%|████      | 10/25 [00:04<00:07,  2.06it/s]
 44%|████▍     | 11/25 [00:05<00:06,  2.05it/s]
 48%|████▊     | 12/25 [00:05<00:06,  2.05it/s]
 52%|█████▏    | 13/25 [00:06<00:05,  2.05it/s]
 56%|█████▌    | 14/25 [00:06<00:05,  2.05it/s]
 60%|██████    | 15/25 [00:07<00:04,  2.05it/s]
 64%|██████▍   | 16/25 [00:07<00:04,  2.04it/s]
 68%|██████▊   | 17/25 [00:08<00:03,  2.04it/s]
 72%|███████▏  | 18/25 [00:08<00:03,  2.04it/s]
 76%|███████▌  | 19/25 [00:09<00:02,  2.04it/s]
 80%|████████  | 20/25 [00:09<00:02,  2.04it/s]
 84%|████████▍ | 21/25 [00:10<00:01,  2.04it/s]
 88%|████████▊ | 22/25 [00:10<00:01,  2.04it/s]
 92%|█████████▏| 23/25 [00:11<00:00,  2.04it/s]
 96%|█████████▌| 24/25 [00:11<00:00,  2.04it/s]
100%|██████████| 25/25 [00:12<00:00,  1.82it/s]
100%|██████████| 25/25 [00:12<00:00,  2.04it/s]
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

Prediction

Model

rdjfmtbvthrj40cgynqbmatep4

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

17.1s

Created

10 months ago

Input

cfg: 3.5
shift: 1
width: 1024
height: 1024
prompt: An abstract and vibrant portrait of a woman's face, where her eyes, nose, and lips are depicted with a swirl of colors, blending seamlessly within the silhouette. The intricate details are accentuated by the landscape of a night forest filled with fireflies, creating an ethereal and dreamlike atmosphere. The background is a mesmerizing mix of pink, purples, and touches of red, green, and yellow, evoking a dynamic and chaotic environment. The artwork exudes intense emotion and passion, drawing the viewer into its captivating world of dark fantasy and artistic expression., illustration, vibrant, painting, dark fantasy, wildlife photography, graffiti, conceptual art
sampler: uni_pc
scheduler: normal
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "cfg": 3.5,
  "shift": 1,
  "width": 1024,
  "height": 1024,
  "prompt": "An abstract and vibrant portrait of a woman's face, where her eyes, nose, and lips are depicted with a swirl of colors, blending seamlessly within the silhouette. The intricate details are accentuated by the landscape of a night forest filled with fireflies, creating an ethereal and dreamlike atmosphere. The background is a mesmerizing mix of pink, purples, and touches of red, green, and yellow, evoking a dynamic and chaotic environment. The artwork exudes intense emotion and passion, drawing the viewer into its captivating world of dark fantasy and artistic expression., illustration, vibrant, painting, dark fantasy, wildlife photography, graffiti, conceptual art",
  "sampler": "uni_pc",
  "scheduler": "normal",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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: "An abstract and vibrant portrait of a woman's face, where her eyes, nose, and lips are depicted with a swirl of colors, blending seamlessly within the silhouette. The intricate details are accentuated by the landscape of a night forest filled with fireflies, creating an ethereal and dreamlike atmosphere. The background is a mesmerizing mix of pink, purples, and touches of red, green, and yellow, evoking a dynamic and chaotic environment. The artwork exudes intense emotion and passion, drawing the viewer into its captivating world of dark fantasy and artistic expression., illustration, vibrant, painting, dark fantasy, wildlife photography, graffiti, conceptual art",
      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.

pip install replicate

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": "An abstract and vibrant portrait of a woman's face, where her eyes, nose, and lips are depicted with a swirl of colors, blending seamlessly within the silhouette. The intricate details are accentuated by the landscape of a night forest filled with fireflies, creating an ethereal and dreamlike atmosphere. The background is a mesmerizing mix of pink, purples, and touches of red, green, and yellow, evoking a dynamic and chaotic environment. The artwork exudes intense emotion and passion, drawing the viewer into its captivating world of dark fantasy and artistic expression., illustration, vibrant, painting, dark fantasy, wildlife photography, graffiti, conceptual art",
        "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.

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": "An abstract and vibrant portrait of a woman\'s face, where her eyes, nose, and lips are depicted with a swirl of colors, blending seamlessly within the silhouette. The intricate details are accentuated by the landscape of a night forest filled with fireflies, creating an ethereal and dreamlike atmosphere. The background is a mesmerizing mix of pink, purples, and touches of red, green, and yellow, evoking a dynamic and chaotic environment. The artwork exudes intense emotion and passion, drawing the viewer into its captivating world of dark fantasy and artistic expression., illustration, vibrant, painting, dark fantasy, wildlife photography, graffiti, conceptual art",
      "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": "2024-07-27T18:23:14.071213Z",
  "created_at": "2024-07-27T18:22:56.980000Z",
  "data_removed": false,
  "error": null,
  "id": "rdjfmtbvthrj40cgynqbmatep4",
  "input": {
    "cfg": 3.5,
    "shift": 1,
    "width": 1024,
    "height": 1024,
    "prompt": "An abstract and vibrant portrait of a woman's face, where her eyes, nose, and lips are depicted with a swirl of colors, blending seamlessly within the silhouette. The intricate details are accentuated by the landscape of a night forest filled with fireflies, creating an ethereal and dreamlike atmosphere. The background is a mesmerizing mix of pink, purples, and touches of red, green, and yellow, evoking a dynamic and chaotic environment. The artwork exudes intense emotion and passion, drawing the viewer into its captivating world of dark fantasy and artistic expression., illustration, vibrant, painting, dark fantasy, wildlife photography, graffiti, conceptual art",
    "sampler": "uni_pc",
    "scheduler": "normal",
    "output_format": "webp",
    "output_quality": 80,
    "negative_prompt": "",
    "number_of_images": 1
  },
  "logs": "Random seed set to: 4132818635\nRunning workflow\ngot prompt\nExecuting node 4, title: Load Checkpoint, class type: CheckpointLoaderSimple\nmodel_type FLOW\nunet unexpected: ['early_dits.0.attn.w1k.weight', 'early_dits.0.attn.w1o.weight', 'early_dits.0.attn.w1q.weight', 'early_dits.0.attn.w1v.weight', 'early_dits.0.mlp.c_fc1.weight', 'early_dits.0.mlp.c_fc2.weight', 'early_dits.0.mlp.c_proj.weight', 'early_dits.0.modCX.1.weight', 'early_dits.1.attn.w1k.weight', 'early_dits.1.attn.w1o.weight', 'early_dits.1.attn.w1q.weight', 'early_dits.1.attn.w1v.weight', 'early_dits.1.mlp.c_fc1.weight', 'early_dits.1.mlp.c_fc2.weight', 'early_dits.1.mlp.c_proj.weight', 'early_dits.1.modCX.1.weight', 'early_dits.2.attn.w1k.weight', 'early_dits.2.attn.w1o.weight', 'early_dits.2.attn.w1q.weight', 'early_dits.2.attn.w1v.weight', 'early_dits.2.mlp.c_fc1.weight', 'early_dits.2.mlp.c_fc2.weight', 'early_dits.2.mlp.c_proj.weight', 'early_dits.2.modCX.1.weight', 'early_linear.weight']\nUsing pytorch attention in VAE\nUsing pytorch attention in VAE\nloaded straight to GPU\nRequested to load AuraFlow\nLoading 1 new model\nExecuting node 10, title: ModelSamplingAuraFlow, class type: ModelSamplingAuraFlow\nRequested to load AuraT5Model\nLoading 1 new model\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 5, title: Empty Latent Image, class type: EmptyLatentImage\nRequested to load AuraFlow\nLoading 1 new model\nExecuting node 3, title: KSampler, class type: KSampler\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:12,  1.96it/s]\n 12%|█▏        | 3/25 [00:01<00:07,  2.83it/s]\n 16%|█▌        | 4/25 [00:01<00:08,  2.51it/s]\n 20%|██        | 5/25 [00:02<00:08,  2.35it/s]\n 24%|██▍       | 6/25 [00:02<00:08,  2.26it/s]\n 28%|██▊       | 7/25 [00:03<00:08,  2.20it/s]\n 32%|███▏      | 8/25 [00:03<00:07,  2.16it/s]\n 36%|███▌      | 9/25 [00:03<00:07,  2.13it/s]\n 40%|████      | 10/25 [00:04<00:07,  2.12it/s]\n 44%|████▍     | 11/25 [00:04<00:06,  2.10it/s]\n 48%|████▊     | 12/25 [00:05<00:06,  2.09it/s]\n 52%|█████▏    | 13/25 [00:05<00:05,  2.09it/s]\n 56%|█████▌    | 14/25 [00:06<00:05,  2.09it/s]\n 60%|██████    | 15/25 [00:06<00:04,  2.08it/s]\n 64%|██████▍   | 16/25 [00:07<00:04,  2.08it/s]\n 68%|██████▊   | 17/25 [00:07<00:03,  2.08it/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,  2.07it/s]\n 92%|█████████▏| 23/25 [00:10<00:00,  2.07it/s]\n 96%|█████████▌| 24/25 [00:11<00:00,  2.07it/s]\n100%|██████████| 25/25 [00:12<00:00,  1.67it/s]\n100%|██████████| 25/25 [00:12<00:00,  2.07it/s]\nRequested to load AutoencoderKL\nLoading 1 new model\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 16.52 seconds\noutputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 17.075960372,
    "total_time": 17.091213
  },
  "output": [
    "https://replicate.delivery/yhqm/YoNMbbeecBky6EeVb4LuRzfZ03pvIZnDcqCXHzVMj9bFR7yMB/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-07-27T18:22:56.995253Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/rdjfmtbvthrj40cgynqbmatep4",
    "cancel": "https://api.replicate.com/v1/predictions/rdjfmtbvthrj40cgynqbmatep4/cancel"
  },
  "version": "e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee"
}

Generated in

17.1 seconds

lucataco/aura-flow-v0.2:e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee

Random seed set to: 4132818635
Running workflow
got prompt
Executing node 4, title: Load Checkpoint, class type: CheckpointLoaderSimple
model_type FLOW
unet unexpected: ['early_dits.0.attn.w1k.weight', 'early_dits.0.attn.w1o.weight', 'early_dits.0.attn.w1q.weight', 'early_dits.0.attn.w1v.weight', 'early_dits.0.mlp.c_fc1.weight', 'early_dits.0.mlp.c_fc2.weight', 'early_dits.0.mlp.c_proj.weight', 'early_dits.0.modCX.1.weight', 'early_dits.1.attn.w1k.weight', 'early_dits.1.attn.w1o.weight', 'early_dits.1.attn.w1q.weight', 'early_dits.1.attn.w1v.weight', 'early_dits.1.mlp.c_fc1.weight', 'early_dits.1.mlp.c_fc2.weight', 'early_dits.1.mlp.c_proj.weight', 'early_dits.1.modCX.1.weight', 'early_dits.2.attn.w1k.weight', 'early_dits.2.attn.w1o.weight', 'early_dits.2.attn.w1q.weight', 'early_dits.2.attn.w1v.weight', 'early_dits.2.mlp.c_fc1.weight', 'early_dits.2.mlp.c_fc2.weight', 'early_dits.2.mlp.c_proj.weight', 'early_dits.2.modCX.1.weight', 'early_linear.weight']
Using pytorch attention in VAE
Using pytorch attention in VAE
loaded straight to GPU
Requested to load AuraFlow
Loading 1 new model
Executing node 10, title: ModelSamplingAuraFlow, class type: ModelSamplingAuraFlow
Requested to load AuraT5Model
Loading 1 new model
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 5, title: Empty Latent Image, class type: EmptyLatentImage
Requested to load AuraFlow
Loading 1 new model
Executing node 3, title: KSampler, class type: KSampler
  0%|          | 0/25 [00:00<?, ?it/s]
  4%|▍         | 1/25 [00:00<00:12,  1.96it/s]
 12%|█▏        | 3/25 [00:01<00:07,  2.83it/s]
 16%|█▌        | 4/25 [00:01<00:08,  2.51it/s]
 20%|██        | 5/25 [00:02<00:08,  2.35it/s]
 24%|██▍       | 6/25 [00:02<00:08,  2.26it/s]
 28%|██▊       | 7/25 [00:03<00:08,  2.20it/s]
 32%|███▏      | 8/25 [00:03<00:07,  2.16it/s]
 36%|███▌      | 9/25 [00:03<00:07,  2.13it/s]
 40%|████      | 10/25 [00:04<00:07,  2.12it/s]
 44%|████▍     | 11/25 [00:04<00:06,  2.10it/s]
 48%|████▊     | 12/25 [00:05<00:06,  2.09it/s]
 52%|█████▏    | 13/25 [00:05<00:05,  2.09it/s]
 56%|█████▌    | 14/25 [00:06<00:05,  2.09it/s]
 60%|██████    | 15/25 [00:06<00:04,  2.08it/s]
 64%|██████▍   | 16/25 [00:07<00:04,  2.08it/s]
 68%|██████▊   | 17/25 [00:07<00:03,  2.08it/s]
 72%|███████▏  | 18/25 [00:08<00:03,  2.07it/s]
 76%|███████▌  | 19/25 [00:08<00:02,  2.07it/s]
 80%|████████  | 20/25 [00:09<00:02,  2.07it/s]
 84%|████████▍ | 21/25 [00:09<00:01,  2.07it/s]
 88%|████████▊ | 22/25 [00:10<00:01,  2.07it/s]
 92%|█████████▏| 23/25 [00:10<00:00,  2.07it/s]
 96%|█████████▌| 24/25 [00:11<00:00,  2.07it/s]
100%|██████████| 25/25 [00:12<00:00,  1.67it/s]
100%|██████████| 25/25 [00:12<00:00,  2.07it/s]
Requested to load AutoencoderKL
Loading 1 new model
Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 9, title: Save Image, class type: SaveImage
Prompt executed in 16.52 seconds
outputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
ComfyUI_00001_.png

Prediction

Model

6ghkhk9k01rj60cgynsaddg43g

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

54.9s

Created

10 months ago

Input

cfg: 3.5
shift: 1
width: 1024
height: 1024
prompt: A hyper-detailed, close-up view inside a magical snow globe. The word "Snow" is intricately formed from miniature snowflakes and frost patterns, suspended in the center of the globe. Surrounding the word, a miniature winter wonderland unfolds in exquisite detail. Tiny evergreen trees, their branches laden with snow, create a dense forest. A frozen lake reflects the scene like a mirror, with microscopic ice skaters etching patterns on its surface. A miniature log cabin nestles in the trees, warm light spilling from its windows and smoke curling from the chimney. Tiny deer and rabbits leave intricate tracks in the snow. Countless snowflakes of varying sizes and intricate designs swirl around the scene, some caught in mid-fall, others settled on surfaces. The globe's glass is visible at the edges, slightly distorting the view and adding to the magical atmosphere. The lighting suggests a setting sun, casting long shadows and bathing the scene in a warm, golden glow that contrasts with the cool blues and whites of the snow. Every element is rendered in minute detail, inviting the viewer to explore the miniature world within the snow globe.
sampler: uni_pc
scheduler: normal
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "cfg": 3.5,
  "shift": 1,
  "width": 1024,
  "height": 1024,
  "prompt": "A hyper-detailed, close-up view inside a magical snow globe. The word \"Snow\" is intricately formed from miniature snowflakes and frost patterns, suspended in the center of the globe. Surrounding the word, a miniature winter wonderland unfolds in exquisite detail. Tiny evergreen trees, their branches laden with snow, create a dense forest. A frozen lake reflects the scene like a mirror, with microscopic ice skaters etching patterns on its surface. A miniature log cabin nestles in the trees, warm light spilling from its windows and smoke curling from the chimney. Tiny deer and rabbits leave intricate tracks in the snow. Countless snowflakes of varying sizes and intricate designs swirl around the scene, some caught in mid-fall, others settled on surfaces. The globe's glass is visible at the edges, slightly distorting the view and adding to the magical atmosphere. The lighting suggests a setting sun, casting long shadows and bathing the scene in a warm, golden glow that contrasts with the cool blues and whites of the snow. Every element is rendered in minute detail, inviting the viewer to explore the miniature world within the snow globe.",
  "sampler": "uni_pc",
  "scheduler": "normal",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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 hyper-detailed, close-up view inside a magical snow globe. The word \"Snow\" is intricately formed from miniature snowflakes and frost patterns, suspended in the center of the globe. Surrounding the word, a miniature winter wonderland unfolds in exquisite detail. Tiny evergreen trees, their branches laden with snow, create a dense forest. A frozen lake reflects the scene like a mirror, with microscopic ice skaters etching patterns on its surface. A miniature log cabin nestles in the trees, warm light spilling from its windows and smoke curling from the chimney. Tiny deer and rabbits leave intricate tracks in the snow. Countless snowflakes of varying sizes and intricate designs swirl around the scene, some caught in mid-fall, others settled on surfaces. The globe's glass is visible at the edges, slightly distorting the view and adding to the magical atmosphere. The lighting suggests a setting sun, casting long shadows and bathing the scene in a warm, golden glow that contrasts with the cool blues and whites of the snow. Every element is rendered in minute detail, inviting the viewer to explore the miniature world within the snow globe.",
      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.

pip install replicate

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 hyper-detailed, close-up view inside a magical snow globe. The word \"Snow\" is intricately formed from miniature snowflakes and frost patterns, suspended in the center of the globe. Surrounding the word, a miniature winter wonderland unfolds in exquisite detail. Tiny evergreen trees, their branches laden with snow, create a dense forest. A frozen lake reflects the scene like a mirror, with microscopic ice skaters etching patterns on its surface. A miniature log cabin nestles in the trees, warm light spilling from its windows and smoke curling from the chimney. Tiny deer and rabbits leave intricate tracks in the snow. Countless snowflakes of varying sizes and intricate designs swirl around the scene, some caught in mid-fall, others settled on surfaces. The globe's glass is visible at the edges, slightly distorting the view and adding to the magical atmosphere. The lighting suggests a setting sun, casting long shadows and bathing the scene in a warm, golden glow that contrasts with the cool blues and whites of the snow. Every element is rendered in minute detail, inviting the viewer to explore the miniature world within the snow globe.",
        "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.

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 hyper-detailed, close-up view inside a magical snow globe. The word \\"Snow\\" is intricately formed from miniature snowflakes and frost patterns, suspended in the center of the globe. Surrounding the word, a miniature winter wonderland unfolds in exquisite detail. Tiny evergreen trees, their branches laden with snow, create a dense forest. A frozen lake reflects the scene like a mirror, with microscopic ice skaters etching patterns on its surface. A miniature log cabin nestles in the trees, warm light spilling from its windows and smoke curling from the chimney. Tiny deer and rabbits leave intricate tracks in the snow. Countless snowflakes of varying sizes and intricate designs swirl around the scene, some caught in mid-fall, others settled on surfaces. The globe\'s glass is visible at the edges, slightly distorting the view and adding to the magical atmosphere. The lighting suggests a setting sun, casting long shadows and bathing the scene in a warm, golden glow that contrasts with the cool blues and whites of the snow. Every element is rendered in minute detail, inviting the viewer to explore the miniature world within the snow globe.",
      "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": "2024-07-27T18:27:55.344422Z",
  "created_at": "2024-07-27T18:27:00.480000Z",
  "data_removed": false,
  "error": null,
  "id": "6ghkhk9k01rj60cgynsaddg43g",
  "input": {
    "cfg": 3.5,
    "shift": 1,
    "width": 1024,
    "height": 1024,
    "prompt": "A hyper-detailed, close-up view inside a magical snow globe. The word \"Snow\" is intricately formed from miniature snowflakes and frost patterns, suspended in the center of the globe. Surrounding the word, a miniature winter wonderland unfolds in exquisite detail. Tiny evergreen trees, their branches laden with snow, create a dense forest. A frozen lake reflects the scene like a mirror, with microscopic ice skaters etching patterns on its surface. A miniature log cabin nestles in the trees, warm light spilling from its windows and smoke curling from the chimney. Tiny deer and rabbits leave intricate tracks in the snow. Countless snowflakes of varying sizes and intricate designs swirl around the scene, some caught in mid-fall, others settled on surfaces. The globe's glass is visible at the edges, slightly distorting the view and adding to the magical atmosphere. The lighting suggests a setting sun, casting long shadows and bathing the scene in a warm, golden glow that contrasts with the cool blues and whites of the snow. Every element is rendered in minute detail, inviting the viewer to explore the miniature world within the snow globe.",
    "sampler": "uni_pc",
    "scheduler": "normal",
    "output_format": "webp",
    "output_quality": 80,
    "negative_prompt": "",
    "number_of_images": 1
  },
  "logs": "Random seed set to: 1592606031\nRunning workflow\ngot prompt\nExecuting node 4, title: Load Checkpoint, class type: CheckpointLoaderSimple\nmodel_type FLOW\nunet unexpected: ['early_dits.0.attn.w1k.weight', 'early_dits.0.attn.w1o.weight', 'early_dits.0.attn.w1q.weight', 'early_dits.0.attn.w1v.weight', 'early_dits.0.mlp.c_fc1.weight', 'early_dits.0.mlp.c_fc2.weight', 'early_dits.0.mlp.c_proj.weight', 'early_dits.0.modCX.1.weight', 'early_dits.1.attn.w1k.weight', 'early_dits.1.attn.w1o.weight', 'early_dits.1.attn.w1q.weight', 'early_dits.1.attn.w1v.weight', 'early_dits.1.mlp.c_fc1.weight', 'early_dits.1.mlp.c_fc2.weight', 'early_dits.1.mlp.c_proj.weight', 'early_dits.1.modCX.1.weight', 'early_dits.2.attn.w1k.weight', 'early_dits.2.attn.w1o.weight', 'early_dits.2.attn.w1q.weight', 'early_dits.2.attn.w1v.weight', 'early_dits.2.mlp.c_fc1.weight', 'early_dits.2.mlp.c_fc2.weight', 'early_dits.2.mlp.c_proj.weight', 'early_dits.2.modCX.1.weight', 'early_linear.weight']\nUsing pytorch attention in VAE\nUsing pytorch attention in VAE\nloaded straight to GPU\nRequested to load AuraFlow\nLoading 1 new model\nExecuting node 10, title: ModelSamplingAuraFlow, class type: ModelSamplingAuraFlow\nRequested to load AuraT5Model\nLoading 1 new model\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 5, title: Empty Latent Image, class type: EmptyLatentImage\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<00:12,  1.91it/s]\n  8%|▊         | 2/25 [00:00<00:09,  2.56it/s]\n 12%|█▏        | 3/25 [00:01<00:09,  2.25it/s]\n 16%|█▌        | 4/25 [00:01<00:09,  2.15it/s]\n 20%|██        | 5/25 [00:02<00:09,  2.10it/s]\n 24%|██▍       | 6/25 [00:02<00:09,  2.08it/s]\n 28%|██▊       | 7/25 [00:03<00:08,  2.06it/s]\n 32%|███▏      | 8/25 [00:03<00:08,  2.04it/s]\n 36%|███▌      | 9/25 [00:04<00:11,  1.44it/s]\n 40%|████      | 10/25 [00:05<00:09,  1.58it/s]\n 44%|████▍     | 11/25 [00:05<00:08,  1.69it/s]\n 48%|████▊     | 12/25 [00:07<00:12,  1.04it/s]\n 52%|█████▏    | 13/25 [00:08<00:12,  1.04s/it]\n 56%|█████▌    | 14/25 [00:10<00:12,  1.15s/it]\n 60%|██████    | 15/25 [00:12<00:13,  1.31s/it]\n 64%|██████▍   | 16/25 [00:13<00:11,  1.33s/it]\n 68%|██████▊   | 17/25 [00:15<00:11,  1.45s/it]\n 72%|███████▏  | 18/25 [00:15<00:08,  1.26s/it]\n 76%|███████▌  | 19/25 [00:17<00:07,  1.23s/it]\n 80%|████████  | 20/25 [00:18<00:06,  1.23s/it]\n 84%|████████▍ | 21/25 [00:19<00:04,  1.14s/it]\n 88%|████████▊ | 22/25 [00:20<00:03,  1.05s/it]\n 92%|█████████▏| 23/25 [00:21<00:02,  1.10s/it]\n 96%|█████████▌| 24/25 [00:22<00:01,  1.07s/it]\n100%|██████████| 25/25 [00:23<00:00,  1.05it/s]\n100%|██████████| 25/25 [00:23<00:00,  1.09it/s]\nRequested to load AutoencoderKL\nLoading 1 new model\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 28.20 seconds\noutputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 28.776588944,
    "total_time": 54.864422
  },
  "output": [
    "https://replicate.delivery/yhqm/ZP1qr4rIfHxfFkcLO2ZOJOOfKppIX1BGK2BnNsD0oDvWxdZmA/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-07-27T18:27:26.567833Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/6ghkhk9k01rj60cgynsaddg43g",
    "cancel": "https://api.replicate.com/v1/predictions/6ghkhk9k01rj60cgynsaddg43g/cancel"
  },
  "version": "e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee"
}

Generated in

28.8 seconds

lucataco/aura-flow-v0.2:e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee

Random seed set to: 1592606031
Running workflow
got prompt
Executing node 4, title: Load Checkpoint, class type: CheckpointLoaderSimple
model_type FLOW
unet unexpected: ['early_dits.0.attn.w1k.weight', 'early_dits.0.attn.w1o.weight', 'early_dits.0.attn.w1q.weight', 'early_dits.0.attn.w1v.weight', 'early_dits.0.mlp.c_fc1.weight', 'early_dits.0.mlp.c_fc2.weight', 'early_dits.0.mlp.c_proj.weight', 'early_dits.0.modCX.1.weight', 'early_dits.1.attn.w1k.weight', 'early_dits.1.attn.w1o.weight', 'early_dits.1.attn.w1q.weight', 'early_dits.1.attn.w1v.weight', 'early_dits.1.mlp.c_fc1.weight', 'early_dits.1.mlp.c_fc2.weight', 'early_dits.1.mlp.c_proj.weight', 'early_dits.1.modCX.1.weight', 'early_dits.2.attn.w1k.weight', 'early_dits.2.attn.w1o.weight', 'early_dits.2.attn.w1q.weight', 'early_dits.2.attn.w1v.weight', 'early_dits.2.mlp.c_fc1.weight', 'early_dits.2.mlp.c_fc2.weight', 'early_dits.2.mlp.c_proj.weight', 'early_dits.2.modCX.1.weight', 'early_linear.weight']
Using pytorch attention in VAE
Using pytorch attention in VAE
loaded straight to GPU
Requested to load AuraFlow
Loading 1 new model
Executing node 10, title: ModelSamplingAuraFlow, class type: ModelSamplingAuraFlow
Requested to load AuraT5Model
Loading 1 new model
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 5, title: Empty Latent Image, class type: EmptyLatentImage
Executing node 3, title: KSampler, class type: KSampler
Requested to load AuraFlow
Loading 1 new model
  0%|          | 0/25 [00:00<?, ?it/s]
  4%|▍         | 1/25 [00:00<00:12,  1.91it/s]
  8%|▊         | 2/25 [00:00<00:09,  2.56it/s]
 12%|█▏        | 3/25 [00:01<00:09,  2.25it/s]
 16%|█▌        | 4/25 [00:01<00:09,  2.15it/s]
 20%|██        | 5/25 [00:02<00:09,  2.10it/s]
 24%|██▍       | 6/25 [00:02<00:09,  2.08it/s]
 28%|██▊       | 7/25 [00:03<00:08,  2.06it/s]
 32%|███▏      | 8/25 [00:03<00:08,  2.04it/s]
 36%|███▌      | 9/25 [00:04<00:11,  1.44it/s]
 40%|████      | 10/25 [00:05<00:09,  1.58it/s]
 44%|████▍     | 11/25 [00:05<00:08,  1.69it/s]
 48%|████▊     | 12/25 [00:07<00:12,  1.04it/s]
 52%|█████▏    | 13/25 [00:08<00:12,  1.04s/it]
 56%|█████▌    | 14/25 [00:10<00:12,  1.15s/it]
 60%|██████    | 15/25 [00:12<00:13,  1.31s/it]
 64%|██████▍   | 16/25 [00:13<00:11,  1.33s/it]
 68%|██████▊   | 17/25 [00:15<00:11,  1.45s/it]
 72%|███████▏  | 18/25 [00:15<00:08,  1.26s/it]
 76%|███████▌  | 19/25 [00:17<00:07,  1.23s/it]
 80%|████████  | 20/25 [00:18<00:06,  1.23s/it]
 84%|████████▍ | 21/25 [00:19<00:04,  1.14s/it]
 88%|████████▊ | 22/25 [00:20<00:03,  1.05s/it]
 92%|█████████▏| 23/25 [00:21<00:02,  1.10s/it]
 96%|█████████▌| 24/25 [00:22<00:01,  1.07s/it]
100%|██████████| 25/25 [00:23<00:00,  1.05it/s]
100%|██████████| 25/25 [00:23<00:00,  1.09it/s]
Requested to load AutoencoderKL
Loading 1 new model
Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 9, title: Save Image, class type: SaveImage
Prompt executed in 28.20 seconds
outputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
ComfyUI_00001_.png

Prediction

Model

1ahr0j8tpdrj20cgynst3n686r

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

18.8s

Created

10 months ago

Input

cfg: 3.5
shift: 1
width: 1024
height: 1024
prompt: close-up portrait of a majestic iguana with vibrant blue-green scales, piercing amber eyes, and orange spiky crest. Intricate textures and details visible on scaly skin. Wrapped in dark hood, giving regal appearance. Dramatic lighting against black background. Hyper-realistic, high-resolution image showcasing the reptile's expressive features and coloration.
sampler: uni_pc
scheduler: normal
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "cfg": 3.5,
  "shift": 1,
  "width": 1024,
  "height": 1024,
  "prompt": "close-up portrait of a majestic iguana with vibrant blue-green scales, piercing amber eyes, and orange spiky crest. Intricate textures and details visible on scaly skin. Wrapped in dark hood, giving regal appearance. Dramatic lighting against black background. Hyper-realistic, high-resolution image showcasing the reptile's expressive features and coloration.",
  "sampler": "uni_pc",
  "scheduler": "normal",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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: "close-up portrait of a majestic iguana with vibrant blue-green scales, piercing amber eyes, and orange spiky crest. Intricate textures and details visible on scaly skin. Wrapped in dark hood, giving regal appearance. Dramatic lighting against black background. Hyper-realistic, high-resolution image showcasing the reptile's expressive features and coloration.",
      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.

pip install replicate

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": "close-up portrait of a majestic iguana with vibrant blue-green scales, piercing amber eyes, and orange spiky crest. Intricate textures and details visible on scaly skin. Wrapped in dark hood, giving regal appearance. Dramatic lighting against black background. Hyper-realistic, high-resolution image showcasing the reptile's expressive features and coloration.",
        "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.

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": "close-up portrait of a majestic iguana with vibrant blue-green scales, piercing amber eyes, and orange spiky crest. Intricate textures and details visible on scaly skin. Wrapped in dark hood, giving regal appearance. Dramatic lighting against black background. Hyper-realistic, high-resolution image showcasing the reptile\'s expressive features and coloration.",
      "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": "2024-07-27T18:28:18.547469Z",
  "created_at": "2024-07-27T18:27:59.795000Z",
  "data_removed": false,
  "error": null,
  "id": "1ahr0j8tpdrj20cgynst3n686r",
  "input": {
    "cfg": 3.5,
    "shift": 1,
    "width": 1024,
    "height": 1024,
    "prompt": "close-up portrait of a majestic iguana with vibrant blue-green scales, piercing amber eyes, and orange spiky crest. Intricate textures and details visible on scaly skin. Wrapped in dark hood, giving regal appearance. Dramatic lighting against black background. Hyper-realistic, high-resolution image showcasing the reptile's expressive features and coloration.",
    "sampler": "uni_pc",
    "scheduler": "normal",
    "output_format": "webp",
    "output_quality": 80,
    "negative_prompt": "",
    "number_of_images": 1
  },
  "logs": "Random seed set to: 3236606172\nRunning workflow\ngot prompt\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 3, title: KSampler, class type: KSampler\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:01<00:37,  1.56s/it]\n  8%|▊         | 2/25 [00:03<00:38,  1.67s/it]\n 12%|█▏        | 3/25 [00:04<00:35,  1.61s/it]\n 16%|█▌        | 4/25 [00:05<00:24,  1.17s/it]\n 20%|██        | 5/25 [00:06<00:23,  1.16s/it]\n 24%|██▍       | 6/25 [00:07<00:20,  1.06s/it]\n 28%|██▊       | 7/25 [00:07<00:15,  1.15it/s]\n 32%|███▏      | 8/25 [00:08<00:12,  1.33it/s]\n 36%|███▌      | 9/25 [00:08<00:10,  1.50it/s]\n 40%|████      | 10/25 [00:09<00:09,  1.63it/s]\n 44%|████▍     | 11/25 [00:09<00:08,  1.73it/s]\n 48%|████▊     | 12/25 [00:10<00:07,  1.82it/s]\n 52%|█████▏    | 13/25 [00:10<00:06,  1.88it/s]\n 56%|█████▌    | 14/25 [00:11<00:05,  1.92it/s]\n 60%|██████    | 15/25 [00:11<00:05,  1.96it/s]\n 64%|██████▍   | 16/25 [00:12<00:04,  1.98it/s]\n 68%|██████▊   | 17/25 [00:12<00:04,  2.00it/s]\n 72%|███████▏  | 18/25 [00:13<00:03,  2.01it/s]\n 76%|███████▌  | 19/25 [00:13<00:02,  2.01it/s]\n 80%|████████  | 20/25 [00:14<00:02,  2.02it/s]\n 84%|████████▍ | 21/25 [00:14<00:01,  2.03it/s]\n 88%|████████▊ | 22/25 [00:15<00:01,  2.03it/s]\n 92%|█████████▏| 23/25 [00:15<00:00,  2.03it/s]\n 96%|█████████▌| 24/25 [00:16<00:00,  2.03it/s]\n100%|██████████| 25/25 [00:17<00:00,  1.63it/s]\n100%|██████████| 25/25 [00:17<00:00,  1.46it/s]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 18.25 seconds\noutputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 18.742539183,
    "total_time": 18.752469
  },
  "output": [
    "https://replicate.delivery/yhqm/Fv5XJ6hqcjbKC58fdVKR8mESo5M6uPVeNtr6louibrOC5uMTA/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-07-27T18:27:59.804929Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/1ahr0j8tpdrj20cgynst3n686r",
    "cancel": "https://api.replicate.com/v1/predictions/1ahr0j8tpdrj20cgynst3n686r/cancel"
  },
  "version": "e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee"
}

Generated in

18.8 seconds

lucataco/aura-flow-v0.2:e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee

Random seed set to: 3236606172
Running workflow
got prompt
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 3, title: KSampler, class type: KSampler
  0%|          | 0/25 [00:00<?, ?it/s]
  4%|▍         | 1/25 [00:01<00:37,  1.56s/it]
  8%|▊         | 2/25 [00:03<00:38,  1.67s/it]
 12%|█▏        | 3/25 [00:04<00:35,  1.61s/it]
 16%|█▌        | 4/25 [00:05<00:24,  1.17s/it]
 20%|██        | 5/25 [00:06<00:23,  1.16s/it]
 24%|██▍       | 6/25 [00:07<00:20,  1.06s/it]
 28%|██▊       | 7/25 [00:07<00:15,  1.15it/s]
 32%|███▏      | 8/25 [00:08<00:12,  1.33it/s]
 36%|███▌      | 9/25 [00:08<00:10,  1.50it/s]
 40%|████      | 10/25 [00:09<00:09,  1.63it/s]
 44%|████▍     | 11/25 [00:09<00:08,  1.73it/s]
 48%|████▊     | 12/25 [00:10<00:07,  1.82it/s]
 52%|█████▏    | 13/25 [00:10<00:06,  1.88it/s]
 56%|█████▌    | 14/25 [00:11<00:05,  1.92it/s]
 60%|██████    | 15/25 [00:11<00:05,  1.96it/s]
 64%|██████▍   | 16/25 [00:12<00:04,  1.98it/s]
 68%|██████▊   | 17/25 [00:12<00:04,  2.00it/s]
 72%|███████▏  | 18/25 [00:13<00:03,  2.01it/s]
 76%|███████▌  | 19/25 [00:13<00:02,  2.01it/s]
 80%|████████  | 20/25 [00:14<00:02,  2.02it/s]
 84%|████████▍ | 21/25 [00:14<00:01,  2.03it/s]
 88%|████████▊ | 22/25 [00:15<00:01,  2.03it/s]
 92%|█████████▏| 23/25 [00:15<00:00,  2.03it/s]
 96%|█████████▌| 24/25 [00:16<00:00,  2.03it/s]
100%|██████████| 25/25 [00:17<00:00,  1.63it/s]
100%|██████████| 25/25 [00:17<00:00,  1.46it/s]
Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 9, title: Save Image, class type: SaveImage
Prompt executed in 18.25 seconds
outputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
ComfyUI_00001_.png

Prediction

Model

avk8s6kzshrj20cgyntbvw4v78

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

13.1s

Created

10 months ago

Input

cfg: 3.5
shift: 1
width: 1024
height: 1024
prompt: A solar system with vibrant-colored planets and exotic atmospheres, depicted in a science fiction style. HD, 8k, vivid colors, HDR effect, color palette, illustration, photo, 3D render, vibrant, portrait photography
sampler: uni_pc
scheduler: normal
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "cfg": 3.5,
  "shift": 1,
  "width": 1024,
  "height": 1024,
  "prompt": "A solar system with vibrant-colored planets and exotic atmospheres, depicted in a science fiction style. HD, 8k, vivid colors, HDR effect, color palette, illustration, photo, 3D render, vibrant, portrait photography",
  "sampler": "uni_pc",
  "scheduler": "normal",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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 solar system with vibrant-colored planets and exotic atmospheres, depicted in a science fiction style. HD, 8k, vivid colors, HDR effect, color palette, illustration, photo, 3D render, vibrant, portrait photography",
      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.

pip install replicate

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 solar system with vibrant-colored planets and exotic atmospheres, depicted in a science fiction style. HD, 8k, vivid colors, HDR effect, color palette, illustration, photo, 3D render, vibrant, portrait photography",
        "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.

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 solar system with vibrant-colored planets and exotic atmospheres, depicted in a science fiction style. HD, 8k, vivid colors, HDR effect, color palette, illustration, photo, 3D render, vibrant, portrait photography",
      "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": "2024-07-27T18:29:44.347296Z",
  "created_at": "2024-07-27T18:29:31.212000Z",
  "data_removed": false,
  "error": null,
  "id": "avk8s6kzshrj20cgyntbvw4v78",
  "input": {
    "cfg": 3.5,
    "shift": 1,
    "width": 1024,
    "height": 1024,
    "prompt": "A solar system with vibrant-colored planets and exotic atmospheres, depicted in a science fiction style. HD, 8k, vivid colors, HDR effect, color palette, illustration, photo, 3D render, vibrant, portrait photography",
    "sampler": "uni_pc",
    "scheduler": "normal",
    "output_format": "webp",
    "output_quality": 80,
    "negative_prompt": "",
    "number_of_images": 1
  },
  "logs": "Random seed set to: 806074239\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,  3.49it/s]\n 12%|█▏        | 3/25 [00:01<00:08,  2.69it/s]\n 16%|█▌        | 4/25 [00:01<00:08,  2.41it/s]\n 20%|██        | 5/25 [00:02<00:08,  2.27it/s]\n 24%|██▍       | 6/25 [00:02<00:08,  2.18it/s]\n 28%|██▊       | 7/25 [00:03<00:08,  2.13it/s]\n 32%|███▏      | 8/25 [00:03<00:08,  2.10it/s]\n 36%|███▌      | 9/25 [00:04<00:07,  2.08it/s]\n 40%|████      | 10/25 [00:04<00:07,  2.07it/s]\n 44%|████▍     | 11/25 [00:04<00:06,  2.06it/s]\n 48%|████▊     | 12/25 [00:05<00:06,  2.05it/s]\n 52%|█████▏    | 13/25 [00:05<00:05,  2.05it/s]\n 56%|█████▌    | 14/25 [00:06<00:05,  2.04it/s]\n 60%|██████    | 15/25 [00:06<00:04,  2.04it/s]\n 64%|██████▍   | 16/25 [00:07<00:04,  2.04it/s]\n 68%|██████▊   | 17/25 [00:07<00:03,  2.04it/s]\n 72%|███████▏  | 18/25 [00:08<00:03,  2.03it/s]\n 76%|███████▌  | 19/25 [00:08<00:02,  2.03it/s]\n 80%|████████  | 20/25 [00:09<00:02,  2.03it/s]\n 84%|████████▍ | 21/25 [00:09<00:01,  2.03it/s]\n 88%|████████▊ | 22/25 [00:10<00:01,  2.03it/s]\n 92%|█████████▏| 23/25 [00:10<00:00,  2.03it/s]\n 96%|█████████▌| 24/25 [00:11<00:00,  2.03it/s]\n100%|██████████| 25/25 [00:12<00:00,  1.63it/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 12.63 seconds\noutputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 13.12536276,
    "total_time": 13.135296
  },
  "output": [
    "https://replicate.delivery/yhqm/F2z6TKnOGvJgMlqf8Diqr6FXV2UaMeECXfcLHZx46irw0dZmA/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-07-27T18:29:31.221933Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/avk8s6kzshrj20cgyntbvw4v78",
    "cancel": "https://api.replicate.com/v1/predictions/avk8s6kzshrj20cgyntbvw4v78/cancel"
  },
  "version": "e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee"
}

Generated in

13.1 seconds

lucataco/aura-flow-v0.2:e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee

Prediction

Model

5bybtz0vy9rj00cgynts3qkev0

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

13.3s

Created

10 months ago

Input

cfg: 3.5
shift: 1
width: 1024
height: 1024
prompt: A captivating illustration of a butterfly masterfully designed with the vivid colors adorning its intricately detailed wings. The butterfly delicately rests on a heavenly flower, emanating an ethereal and dreamlike atmosphere. The surrounding landscape is a serene blend of magical realism and nature, creating a harmonious and enchanting scene. This cinematic-worthy painting captures the essence of vibrant portrait photography, seamlessly merging wildlife and artistic elements for a mesmerizing final product., wildlife photography, painting, cinematic, vibrant, poster, illustration
sampler: uni_pc
scheduler: normal
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "cfg": 3.5,
  "shift": 1,
  "width": 1024,
  "height": 1024,
  "prompt": "A captivating illustration of a butterfly masterfully designed with the vivid colors adorning its intricately detailed wings. The butterfly delicately rests on a heavenly flower, emanating an ethereal and dreamlike atmosphere. The surrounding landscape is a serene blend of magical realism and nature, creating a harmonious and enchanting scene. This cinematic-worthy painting captures the essence of vibrant portrait photography, seamlessly merging wildlife and artistic elements for a mesmerizing final product., wildlife photography, painting, cinematic, vibrant, poster, illustration",
  "sampler": "uni_pc",
  "scheduler": "normal",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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 captivating illustration of a butterfly masterfully designed with the vivid colors adorning its intricately detailed wings. The butterfly delicately rests on a heavenly flower, emanating an ethereal and dreamlike atmosphere. The surrounding landscape is a serene blend of magical realism and nature, creating a harmonious and enchanting scene. This cinematic-worthy painting captures the essence of vibrant portrait photography, seamlessly merging wildlife and artistic elements for a mesmerizing final product., wildlife photography, painting, cinematic, vibrant, poster, illustration",
      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.

pip install replicate

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 captivating illustration of a butterfly masterfully designed with the vivid colors adorning its intricately detailed wings. The butterfly delicately rests on a heavenly flower, emanating an ethereal and dreamlike atmosphere. The surrounding landscape is a serene blend of magical realism and nature, creating a harmonious and enchanting scene. This cinematic-worthy painting captures the essence of vibrant portrait photography, seamlessly merging wildlife and artistic elements for a mesmerizing final product., wildlife photography, painting, cinematic, vibrant, poster, illustration",
        "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.

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 captivating illustration of a butterfly masterfully designed with the vivid colors adorning its intricately detailed wings. The butterfly delicately rests on a heavenly flower, emanating an ethereal and dreamlike atmosphere. The surrounding landscape is a serene blend of magical realism and nature, creating a harmonious and enchanting scene. This cinematic-worthy painting captures the essence of vibrant portrait photography, seamlessly merging wildlife and artistic elements for a mesmerizing final product., wildlife photography, painting, cinematic, vibrant, poster, illustration",
      "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": "2024-07-27T18:30:24.493543Z",
  "created_at": "2024-07-27T18:30:11.186000Z",
  "data_removed": false,
  "error": null,
  "id": "5bybtz0vy9rj00cgynts3qkev0",
  "input": {
    "cfg": 3.5,
    "shift": 1,
    "width": 1024,
    "height": 1024,
    "prompt": "A captivating illustration of a butterfly masterfully designed with the vivid colors adorning its intricately detailed wings. The butterfly delicately rests on a heavenly flower, emanating an ethereal and dreamlike atmosphere. The surrounding landscape is a serene blend of magical realism and nature, creating a harmonious and enchanting scene. This cinematic-worthy painting captures the essence of vibrant portrait photography, seamlessly merging wildlife and artistic elements for a mesmerizing final product., wildlife photography, painting, cinematic, vibrant, poster, illustration",
    "sampler": "uni_pc",
    "scheduler": "normal",
    "output_format": "webp",
    "output_quality": 80,
    "negative_prompt": "",
    "number_of_images": 1
  },
  "logs": "Random seed set to: 2668985492\nRunning workflow\ngot prompt\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 3, title: KSampler, class type: KSampler\n  0%|          | 0/25 [00:00<?, ?it/s]\n  8%|▊         | 2/25 [00:00<00:06,  3.39it/s]\n 12%|█▏        | 3/25 [00:01<00:08,  2.66it/s]\n 16%|█▌        | 4/25 [00:01<00:08,  2.38it/s]\n 20%|██        | 5/25 [00:02<00:08,  2.25it/s]\n 24%|██▍       | 6/25 [00:02<00:08,  2.17it/s]\n 28%|██▊       | 7/25 [00:03<00:08,  2.13it/s]\n 32%|███▏      | 8/25 [00:03<00:08,  2.10it/s]\n 36%|███▌      | 9/25 [00:04<00:07,  2.07it/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,  2.04it/s]\n 52%|█████▏    | 13/25 [00:06<00:05,  2.04it/s]\n 56%|█████▌    | 14/25 [00:06<00:05,  2.04it/s]\n 60%|██████    | 15/25 [00:06<00:04,  2.03it/s]\n 64%|██████▍   | 16/25 [00:07<00:04,  2.03it/s]\n 68%|██████▊   | 17/25 [00:07<00:03,  2.03it/s]\n 72%|███████▏  | 18/25 [00:08<00:03,  2.03it/s]\n 76%|███████▌  | 19/25 [00:08<00:02,  2.03it/s]\n 80%|████████  | 20/25 [00:09<00:02,  2.03it/s]\n 84%|████████▍ | 21/25 [00:09<00:01,  2.03it/s]\n 88%|████████▊ | 22/25 [00:10<00:01,  2.03it/s]\n 92%|█████████▏| 23/25 [00:10<00:00,  2.03it/s]\n 96%|█████████▌| 24/25 [00:11<00:00,  2.03it/s]\n100%|██████████| 25/25 [00:12<00:00,  1.63it/s]\n100%|██████████| 25/25 [00:12<00:00,  2.03it/s]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 12.75 seconds\noutputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 13.298364348,
    "total_time": 13.307543
  },
  "output": [
    "https://replicate.delivery/yhqm/aTEThf3nRCXrJKU32ogenx57EdNrcdua9qKejl2u4q5B2dZmA/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-07-27T18:30:11.195178Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/5bybtz0vy9rj00cgynts3qkev0",
    "cancel": "https://api.replicate.com/v1/predictions/5bybtz0vy9rj00cgynts3qkev0/cancel"
  },
  "version": "e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee"
}

Generated in

13.3 seconds

lucataco/aura-flow-v0.2:e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee

Random seed set to: 2668985492
Running workflow
got prompt
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 3, title: KSampler, class type: KSampler
  0%|          | 0/25 [00:00<?, ?it/s]
  8%|▊         | 2/25 [00:00<00:06,  3.39it/s]
 12%|█▏        | 3/25 [00:01<00:08,  2.66it/s]
 16%|█▌        | 4/25 [00:01<00:08,  2.38it/s]
 20%|██        | 5/25 [00:02<00:08,  2.25it/s]
 24%|██▍       | 6/25 [00:02<00:08,  2.17it/s]
 28%|██▊       | 7/25 [00:03<00:08,  2.13it/s]
 32%|███▏      | 8/25 [00:03<00:08,  2.10it/s]
 36%|███▌      | 9/25 [00:04<00:07,  2.07it/s]
 40%|████      | 10/25 [00:04<00:07,  2.06it/s]
 44%|████▍     | 11/25 [00:05<00:06,  2.05it/s]
 48%|████▊     | 12/25 [00:05<00:06,  2.04it/s]
 52%|█████▏    | 13/25 [00:06<00:05,  2.04it/s]
 56%|█████▌    | 14/25 [00:06<00:05,  2.04it/s]
 60%|██████    | 15/25 [00:06<00:04,  2.03it/s]
 64%|██████▍   | 16/25 [00:07<00:04,  2.03it/s]
 68%|██████▊   | 17/25 [00:07<00:03,  2.03it/s]
 72%|███████▏  | 18/25 [00:08<00:03,  2.03it/s]
 76%|███████▌  | 19/25 [00:08<00:02,  2.03it/s]
 80%|████████  | 20/25 [00:09<00:02,  2.03it/s]
 84%|████████▍ | 21/25 [00:09<00:01,  2.03it/s]
 88%|████████▊ | 22/25 [00:10<00:01,  2.03it/s]
 92%|█████████▏| 23/25 [00:10<00:00,  2.03it/s]
 96%|█████████▌| 24/25 [00:11<00:00,  2.03it/s]
100%|██████████| 25/25 [00:12<00:00,  1.63it/s]
100%|██████████| 25/25 [00:12<00:00,  2.03it/s]
Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 9, title: Save Image, class type: SaveImage
Prompt executed in 12.75 seconds
outputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
ComfyUI_00001_.png

Prediction

Model

f7hs7zkh3xrj00cgyntvtjyj38

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

13.3s

Created

10 months ago

Input

cfg: 3.5
shift: 1
width: 1024
height: 1024
prompt: In the heart of a sprawling cyberpunk city, towering skyscrapers adorned with colorful neon lights pierce the rainy night sky. The streets, slick with rain, reflect vivid hues of electric blue, pink, and green from glowing billboards and holographic ads. A diverse crowd moves through narrow alleys and bustling markets, where vendors sell street food and illicit tech under the glow of neon signs. Hovercars and drones zip overhead, blending into the city's kaleidoscope of colors. Steam rises from sidewalk grates, adding a dreamlike haze. Amidst this urban jungle, a lone figure in a black trench coat and illuminated visor walks with purpose, embodying the gritty allure of the cyberpunk world.
sampler: uni_pc
scheduler: normal
output_format: webp
output_quality: 80
negative_prompt
number_of_images: 1

{
  "cfg": 3.5,
  "shift": 1,
  "width": 1024,
  "height": 1024,
  "prompt": "In the heart of a sprawling cyberpunk city, towering skyscrapers adorned with colorful neon lights pierce the rainy night sky. The streets, slick with rain, reflect vivid hues of electric blue, pink, and green from glowing billboards and holographic ads. A diverse crowd moves through narrow alleys and bustling markets, where vendors sell street food and illicit tech under the glow of neon signs. Hovercars and drones zip overhead, blending into the city's kaleidoscope of colors. Steam rises from sidewalk grates, adding a dreamlike haze. Amidst this urban jungle, a lone figure in a black trench coat and illuminated visor walks with purpose, embodying the gritty allure of the cyberpunk world.",
  "sampler": "uni_pc",
  "scheduler": "normal",
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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: "In the heart of a sprawling cyberpunk city, towering skyscrapers adorned with colorful neon lights pierce the rainy night sky. The streets, slick with rain, reflect vivid hues of electric blue, pink, and green from glowing billboards and holographic ads. A diverse crowd moves through narrow alleys and bustling markets, where vendors sell street food and illicit tech under the glow of neon signs. Hovercars and drones zip overhead, blending into the city's kaleidoscope of colors. Steam rises from sidewalk grates, adding a dreamlike haze. Amidst this urban jungle, a lone figure in a black trench coat and illuminated visor walks with purpose, embodying the gritty allure of the cyberpunk world.",
      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.

pip install replicate

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": "In the heart of a sprawling cyberpunk city, towering skyscrapers adorned with colorful neon lights pierce the rainy night sky. The streets, slick with rain, reflect vivid hues of electric blue, pink, and green from glowing billboards and holographic ads. A diverse crowd moves through narrow alleys and bustling markets, where vendors sell street food and illicit tech under the glow of neon signs. Hovercars and drones zip overhead, blending into the city's kaleidoscope of colors. Steam rises from sidewalk grates, adding a dreamlike haze. Amidst this urban jungle, a lone figure in a black trench coat and illuminated visor walks with purpose, embodying the gritty allure of the cyberpunk world.",
        "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.

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": "In the heart of a sprawling cyberpunk city, towering skyscrapers adorned with colorful neon lights pierce the rainy night sky. The streets, slick with rain, reflect vivid hues of electric blue, pink, and green from glowing billboards and holographic ads. A diverse crowd moves through narrow alleys and bustling markets, where vendors sell street food and illicit tech under the glow of neon signs. Hovercars and drones zip overhead, blending into the city\'s kaleidoscope of colors. Steam rises from sidewalk grates, adding a dreamlike haze. Amidst this urban jungle, a lone figure in a black trench coat and illuminated visor walks with purpose, embodying the gritty allure of the cyberpunk world.",
      "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": "2024-07-27T18:30:46.312717Z",
  "created_at": "2024-07-27T18:30:32.991000Z",
  "data_removed": false,
  "error": null,
  "id": "f7hs7zkh3xrj00cgyntvtjyj38",
  "input": {
    "cfg": 3.5,
    "shift": 1,
    "width": 1024,
    "height": 1024,
    "prompt": "In the heart of a sprawling cyberpunk city, towering skyscrapers adorned with colorful neon lights pierce the rainy night sky. The streets, slick with rain, reflect vivid hues of electric blue, pink, and green from glowing billboards and holographic ads. A diverse crowd moves through narrow alleys and bustling markets, where vendors sell street food and illicit tech under the glow of neon signs. Hovercars and drones zip overhead, blending into the city's kaleidoscope of colors. Steam rises from sidewalk grates, adding a dreamlike haze. Amidst this urban jungle, a lone figure in a black trench coat and illuminated visor walks with purpose, embodying the gritty allure of the cyberpunk world.",
    "sampler": "uni_pc",
    "scheduler": "normal",
    "output_format": "webp",
    "output_quality": 80,
    "negative_prompt": "",
    "number_of_images": 1
  },
  "logs": "Random seed set to: 2460580053\nRunning workflow\ngot prompt\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 3, title: KSampler, class type: KSampler\n  0%|          | 0/25 [00:00<?, ?it/s]\n  8%|▊         | 2/25 [00:00<00:06,  3.47it/s]\n 12%|█▏        | 3/25 [00:01<00:08,  2.68it/s]\n 16%|█▌        | 4/25 [00:01<00:08,  2.39it/s]\n 20%|██        | 5/25 [00:02<00:08,  2.25it/s]\n 24%|██▍       | 6/25 [00:02<00:08,  2.18it/s]\n 28%|██▊       | 7/25 [00:03<00:08,  2.13it/s]\n 32%|███▏      | 8/25 [00:03<00:08,  2.10it/s]\n 36%|███▌      | 9/25 [00:04<00:07,  2.08it/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 [00:05<00:05,  2.04it/s]\n 56%|█████▌    | 14/25 [00:06<00:05,  2.04it/s]\n 60%|██████    | 15/25 [00:06<00:04,  2.03it/s]\n 64%|██████▍   | 16/25 [00:07<00:04,  2.03it/s]\n 68%|██████▊   | 17/25 [00:07<00:03,  2.03it/s]\n 72%|███████▏  | 18/25 [00:08<00:03,  2.03it/s]\n 76%|███████▌  | 19/25 [00:08<00:02,  2.03it/s]\n 80%|████████  | 20/25 [00:09<00:02,  2.03it/s]\n 84%|████████▍ | 21/25 [00:09<00:01,  2.03it/s]\n 88%|████████▊ | 22/25 [00:10<00:01,  2.03it/s]\n 92%|█████████▏| 23/25 [00:10<00:00,  2.03it/s]\n 96%|█████████▌| 24/25 [00:11<00:00,  2.03it/s]\n100%|██████████| 25/25 [00:12<00:00,  1.63it/s]\n100%|██████████| 25/25 [00:12<00:00,  2.03it/s]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 12.75 seconds\noutputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 13.312171497,
    "total_time": 13.321717
  },
  "output": [
    "https://replicate.delivery/yhqm/t8uwFS2rfG0DR6YEh31JL9keEiGcelDfFG7elhPM33r3a3lZC/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-07-27T18:30:33.000545Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/f7hs7zkh3xrj00cgyntvtjyj38",
    "cancel": "https://api.replicate.com/v1/predictions/f7hs7zkh3xrj00cgyntvtjyj38/cancel"
  },
  "version": "e784141e567364018b6c24297273e910b80c468c60ccb2a2a6642c034c7d43ee"
}

Generated in

13.3 seconds