Prediction

Model

datacte/proteus-v0.2:06775cd2

ba4g7ptbfappfgry54h4pozt7m

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.5s

Created

almost 2 years ago

Webhook

–

Input

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
width: 1024
height: 1024
num_outputs: 1
scheduler: KarrasDPM
num_inference_steps: 20
guidance_scale: 7.5
prompt_strength: 0.8
apply_watermark: true

{
  "apply_watermark": true,
  "guidance_scale": 7.5,
  "height": 1024,
  "num_inference_steps": 20,
  "num_outputs": 1,
  "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",
  "prompt_strength": 0.8,
  "scheduler": "KarrasDPM",
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_TF1**********************************

This is your API token. Keep it to yourself.

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

const output = await replicate.run(
  "datacte/proteus-v0.2:06775cd262843edbde5abab958abdbb65a0a6b58ca301c9fd78fa55c775fc019",
  {
    input: {
      apply_watermark: true,
      guidance_scale: 7.5,
      height: 1024,
      num_inference_steps: 20,
      num_outputs: 1,
      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",
      prompt_strength: 0.8,
      scheduler: "KarrasDPM",
      width: 1024
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_TF1**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "datacte/proteus-v0.2:06775cd262843edbde5abab958abdbb65a0a6b58ca301c9fd78fa55c775fc019",
    input={
        "apply_watermark": True,
        "guidance_scale": 7.5,
        "height": 1024,
        "num_inference_steps": 20,
        "num_outputs": 1,
        "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",
        "prompt_strength": 0.8,
        "scheduler": "KarrasDPM",
        "width": 1024
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].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=r8_TF1**********************************

This is your API token. Keep it to yourself.

Run datacte/proteus-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": "datacte/proteus-v0.2:06775cd262843edbde5abab958abdbb65a0a6b58ca301c9fd78fa55c775fc019",
    "input": {
      "apply_watermark": true,
      "guidance_scale": 7.5,
      "height": 1024,
      "num_inference_steps": 20,
      "num_outputs": 1,
      "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",
      "prompt_strength": 0.8,
      "scheduler": "KarrasDPM",
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "ba4g7ptbfappfgry54h4pozt7m",
  "model": "datacte/proteus-v0.2",
  "version": "06775cd262843edbde5abab958abdbb65a0a6b58ca301c9fd78fa55c775fc019",
  "input": {
    "apply_watermark": true,
    "guidance_scale": 7.5,
    "height": 1024,
    "num_inference_steps": 20,
    "num_outputs": 1,
    "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",
    "prompt_strength": 0.8,
    "scheduler": "KarrasDPM",
    "width": 1024
  },
  "logs": "Using seed: 2304021969\nPrompt: 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\ntxt2img mode\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:03,  5.04it/s]\n 15%|█▌        | 3/20 [00:00<00:02,  6.22it/s]\n 20%|██        | 4/20 [00:00<00:02,  5.74it/s]\n 25%|██▌       | 5/20 [00:00<00:02,  5.47it/s]\n 30%|███       | 6/20 [00:01<00:02,  5.31it/s]\n 35%|███▌      | 7/20 [00:01<00:02,  5.21it/s]\n 40%|████      | 8/20 [00:01<00:02,  5.14it/s]\n 45%|████▌     | 9/20 [00:01<00:02,  5.09it/s]\n 50%|█████     | 10/20 [00:01<00:01,  5.06it/s]\n 55%|█████▌    | 11/20 [00:02<00:01,  5.03it/s]\n 60%|██████    | 12/20 [00:02<00:01,  5.02it/s]\n 65%|██████▌   | 13/20 [00:02<00:01,  5.00it/s]\n 70%|███████   | 14/20 [00:02<00:01,  5.00it/s]\n 75%|███████▌  | 15/20 [00:02<00:01,  4.99it/s]\n 80%|████████  | 16/20 [00:03<00:00,  4.99it/s]\n 85%|████████▌ | 17/20 [00:03<00:00,  4.98it/s]\n 90%|█████████ | 18/20 [00:03<00:00,  4.98it/s]\n 95%|█████████▌| 19/20 [00:03<00:00,  4.98it/s]\n100%|██████████| 20/20 [00:03<00:00,  4.97it/s]\n100%|██████████| 20/20 [00:03<00:00,  5.12it/s]",
  "output": [
    "https://replicate.delivery/pbxt/1nrcrEszpsb0Kpv0qNBJrtQjoefjHJ3xSh3whVOJcklSFxPSA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-01-24T19:04:45.609539Z",
  "started_at": "2024-01-24T19:04:45.617774Z",
  "completed_at": "2024-01-24T19:04:51.055695Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/ba4g7ptbfappfgry54h4pozt7m/cancel",
    "get": "https://api.replicate.com/v1/predictions/ba4g7ptbfappfgry54h4pozt7m"
  },
  "metrics": {
    "predict_time": 5.437921,
    "total_time": 5.446156
  }
}

Generated in

5.4 seconds

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