Prediction

lucataco/pixart-sigma-900m:c9e6b6f85c8ef629e088031cb85d9918c0cfdc3a11c8a9fb4ca3c16b78a8f9d5

Model

lucataco/pixart-sigma-900m:c9e6b6f8

08k5rfh2cxrgm0cgn8vamjmraw

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

7.5s

Created

about 1 year ago

Input

width: 1024
height: 1024
prompt: cinematic film still of Kodak Motion Picture Film (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy
guidance_scale: 5
negative_prompt: worst, artifacts, deformed, distorted
num_inference_steps: 20

{
  "width": 1024,
  "height": 1024,
  "prompt": "cinematic film still of Kodak Motion Picture Film (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy",
  "guidance_scale": 5,
  "negative_prompt": "worst, artifacts, deformed, distorted ",
  "num_inference_steps": 20
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

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

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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

Run lucataco/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: "cinematic film still of Kodak Motion Picture Film (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy",
      guidance_scale: 5,
      negative_prompt: "worst, artifacts, deformed, distorted ",
      num_inference_steps: 20
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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": "cinematic film still of Kodak Motion Picture Film (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy",
        "guidance_scale": 5,
        "negative_prompt": "worst, artifacts, deformed, distorted ",
        "num_inference_steps": 20
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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": "lucataco/pixart-sigma-900m:c9e6b6f85c8ef629e088031cb85d9918c0cfdc3a11c8a9fb4ca3c16b78a8f9d5",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "cinematic film still of Kodak Motion Picture Film (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy",
      "guidance_scale": 5,
      "negative_prompt": "worst, artifacts, deformed, distorted ",
      "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": "2024-07-13T03:50:00.328102Z",
  "created_at": "2024-07-13T03:49:52.871000Z",
  "data_removed": false,
  "error": null,
  "id": "08k5rfh2cxrgm0cgn8vamjmraw",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "cinematic film still of Kodak Motion Picture Film (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy",
    "guidance_scale": 5,
    "negative_prompt": "worst, artifacts, deformed, distorted ",
    "num_inference_steps": 20
  },
  "logs": "Using seed: 28223\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,  4.17it/s]\n 25%|██▌       | 5/20 [00:01<00:03,  3.89it/s]\n 30%|███       | 6/20 [00:01<00:03,  3.73it/s]\n 35%|███▌      | 7/20 [00:01<00:03,  3.64it/s]\n 40%|████      | 8/20 [00:02<00:03,  3.56it/s]\n 45%|████▌     | 9/20 [00:02<00:03,  3.52it/s]\n 50%|█████     | 10/20 [00:02<00:02,  3.50it/s]\n 55%|█████▌    | 11/20 [00:02<00:02,  3.47it/s]\n 60%|██████    | 12/20 [00:03<00:02,  3.46it/s]\n 65%|██████▌   | 13/20 [00:03<00:02,  3.45it/s]\n 70%|███████   | 14/20 [00:03<00:01,  3.44it/s]\n 75%|███████▌  | 15/20 [00:04<00:01,  3.43it/s]\n 80%|████████  | 16/20 [00:04<00:01,  3.43it/s]\n 85%|████████▌ | 17/20 [00:04<00:00,  3.43it/s]\n 90%|█████████ | 18/20 [00:05<00:00,  3.42it/s]\n 95%|█████████▌| 19/20 [00:05<00:00,  3.42it/s]\n100%|██████████| 20/20 [00:05<00:00,  3.43it/s]\n100%|██████████| 20/20 [00:05<00:00,  3.56it/s]",
  "metrics": {
    "predict_time": 7.420112041,
    "total_time": 7.457102
  },
  "output": "https://replicate.delivery/pbxt/f6zMKKPFdd2gIqOwDCbkfURIbbQfeWHfjvXcRNimwu8eZrejJA/output.jpg",
  "started_at": "2024-07-13T03:49:52.907990Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/08k5rfh2cxrgm0cgn8vamjmraw",
    "cancel": "https://api.replicate.com/v1/predictions/08k5rfh2cxrgm0cgn8vamjmraw/cancel"
  },
  "version": "c9e6b6f85c8ef629e088031cb85d9918c0cfdc3a11c8a9fb4ca3c16b78a8f9d5"
}

Generated in

7.4 seconds

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