lucataco/pixart-sigma-900m:c9e6b6f8 – Run with an API on Replicate

Version

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lucataco /pixart-sigma-900m:c9e6b6f8

Input

prompt

string

Shift + Return to add a new line

black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailedblack fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed

Input prompt

Default: "high quality pixel art, a pixel art silhouette of an anime space-themed girl in a space-punk steampunk style, lying in her bed by the window of a spaceship, smoking, with a rustic feel. The image should embody epic portraiture and double exposure, featuring an isolated landscape visible through the window. The colors should primarily be dynamic and action-packed, with a strong use of negative space. The entire artwork should be in pixel art style, emphasizing the characters shape and set against a white background. Silhouette"

negative_prompt

string

Shift + Return to add a new line

Input negative prompt

Default: ""

width

integer

Width of output image

Default: 1024

height

integer

Height of output image

Default: 1024

guidance_scale

number

(minimum: 1, maximum: 50)

Classifier-free guidance

Default: 3

num_inference_steps

integer

(minimum: 1, maximum: 100)

Number of denoising steps

Default: 20

seed

integer

Random seed. Leave blank to randomize the seed

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

npx create-replicate --model=lucataco/pixart-sigma-900m

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

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

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run lucataco/pixart-sigma-900m using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/pixart-sigma-900m:c9e6b6f85c8ef629e088031cb85d9918c0cfdc3a11c8a9fb4ca3c16b78a8f9d5",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
      guidance_scale: 5,
      negative_prompt: "",
      num_inference_steps: 20
    }
  }
);
console.log(output);

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/pixart-sigma-900m using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/pixart-sigma-900m:c9e6b6f85c8ef629e088031cb85d9918c0cfdc3a11c8a9fb4ca3c16b78a8f9d5",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
        "guidance_scale": 5,
        "negative_prompt": "",
        "num_inference_steps": 20
    }
)
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/pixart-sigma-900m 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": "c9e6b6f85c8ef629e088031cb85d9918c0cfdc3a11c8a9fb4ca3c16b78a8f9d5",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
      "guidance_scale": 5,
      "negative_prompt": "",
      "num_inference_steps": 20
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-07-13T03:48:11.639825Z",
  "created_at": "2024-07-13T03:48:04.213000Z",
  "data_removed": false,
  "error": null,
  "id": "wb5d0yvsynrgm0cgn8t9n9hs14",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
    "guidance_scale": 5,
    "negative_prompt": "",
    "num_inference_steps": 20
  },
  "logs": "Using seed: 23753\nSetting `clean_caption=True` requires the Beautiful Soup library but it was not found in your environment. You can install it with pip:\n`pip install beautifulsoup4`. Please note that you may need to restart your runtime after installation.\nSetting `clean_caption` to False...\nSetting `clean_caption=True` requires the Beautiful Soup library but it was not found in your environment. You can install it with pip:\n`pip install beautifulsoup4`. Please note that you may need to restart your runtime after installation.\nSetting `clean_caption` to False...\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:05,  3.44it/s]\n 15%|█▌        | 3/20 [00:00<00:03,  4.71it/s]\n 20%|██        | 4/20 [00:00<00:03,  4.19it/s]\n 25%|██▌       | 5/20 [00:01<00:03,  3.92it/s]\n 30%|███       | 6/20 [00:01<00:03,  3.76it/s]\n 35%|███▌      | 7/20 [00:01<00:03,  3.66it/s]\n 40%|████      | 8/20 [00:02<00:03,  3.59it/s]\n 45%|████▌     | 9/20 [00:02<00:03,  3.55it/s]\n 50%|█████     | 10/20 [00:02<00:02,  3.51it/s]\n 55%|█████▌    | 11/20 [00:02<00:02,  3.49it/s]\n 60%|██████    | 12/20 [00:03<00:02,  3.47it/s]\n 65%|██████▌   | 13/20 [00:03<00:02,  3.46it/s]\n 70%|███████   | 14/20 [00:03<00:01,  3.46it/s]\n 75%|███████▌  | 15/20 [00:04<00:01,  3.45it/s]\n 80%|████████  | 16/20 [00:04<00:01,  3.45it/s]\n 85%|████████▌ | 17/20 [00:04<00:00,  3.44it/s]\n 90%|█████████ | 18/20 [00:05<00:00,  3.44it/s]\n 95%|█████████▌| 19/20 [00:05<00:00,  3.44it/s]\n100%|██████████| 20/20 [00:05<00:00,  3.44it/s]\n100%|██████████| 20/20 [00:05<00:00,  3.57it/s]",
  "metrics": {
    "predict_time": 7.388063615,
    "total_time": 7.426825
  },
  "output": "https://replicate.delivery/pbxt/tRHyxYUqu8L5EpGajFP9MXB8ezSLQEFYpOrUueChzKp6r6HTA/output.jpg",
  "started_at": "2024-07-13T03:48:04.251762Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/wb5d0yvsynrgm0cgn8t9n9hs14",
    "cancel": "https://api.replicate.com/v1/predictions/wb5d0yvsynrgm0cgn8t9n9hs14/cancel"
  },
  "version": "c9e6b6f85c8ef629e088031cb85d9918c0cfdc3a11c8a9fb4ca3c16b78a8f9d5"
}

Generated in

7.4 seconds

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