Prediction

Model

datacte/proteus-v0.4-lightning:21464a19

i7l46stbj76z6tyygk4azgq6i4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.7s

Created

almost 2 years ago

Webhook

–

Input

prompt: black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed
negative_prompt: nsfw, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image
width: 1024
height: 1024
num_outputs: 1
scheduler: K_EULER_ANCESTRAL
num_inference_steps: 8
guidance_scale: 2
prompt_strength: 0.8
apply_watermark: true

{
  "apply_watermark": true,
  "guidance_scale": 2,
  "height": 1024,
  "negative_prompt": "nsfw, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image",
  "num_inference_steps": 8,
  "num_outputs": 1,
  "prompt": "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
  "prompt_strength": 0.8,
  "scheduler": "K_EULER_ANCESTRAL",
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_0qw**********************************

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-v0.4-lightning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "datacte/proteus-v0.4-lightning:21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c",
  {
    input: {
      apply_watermark: true,
      guidance_scale: 2,
      height: 1024,
      negative_prompt: "nsfw, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image",
      num_inference_steps: 8,
      num_outputs: 1,
      prompt: "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
      prompt_strength: 0.8,
      scheduler: "K_EULER_ANCESTRAL",
      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_0qw**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run datacte/proteus-v0.4-lightning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "datacte/proteus-v0.4-lightning:21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c",
    input={
        "apply_watermark": True,
        "guidance_scale": 2,
        "height": 1024,
        "negative_prompt": "nsfw, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image",
        "num_inference_steps": 8,
        "num_outputs": 1,
        "prompt": "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
        "prompt_strength": 0.8,
        "scheduler": "K_EULER_ANCESTRAL",
        "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_0qw**********************************

This is your API token. Keep it to yourself.

Run datacte/proteus-v0.4-lightning 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-v0.4-lightning:21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c",
    "input": {
      "apply_watermark": true,
      "guidance_scale": 2,
      "height": 1024,
      "negative_prompt": "nsfw, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image",
      "num_inference_steps": 8,
      "num_outputs": 1,
      "prompt": "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
      "prompt_strength": 0.8,
      "scheduler": "K_EULER_ANCESTRAL",
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "i7l46stbj76z6tyygk4azgq6i4",
  "model": "datacte/proteus-v0.4-lightning",
  "version": "21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c",
  "input": {
    "apply_watermark": true,
    "guidance_scale": 2,
    "height": 1024,
    "negative_prompt": "nsfw, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image",
    "num_inference_steps": 8,
    "num_outputs": 1,
    "prompt": "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed",
    "prompt_strength": 0.8,
    "scheduler": "K_EULER_ANCESTRAL",
    "width": 1024
  },
  "logs": "Using seed: 1167011192\nPrompt: black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed\ntxt2img mode\n  0%|          | 0/8 [00:00<?, ?it/s]\n 25%|██▌       | 2/8 [00:00<00:00,  6.75it/s]\n 38%|███▊      | 3/8 [00:00<00:00,  5.86it/s]\n 50%|█████     | 4/8 [00:00<00:00,  5.50it/s]\n 62%|██████▎   | 5/8 [00:00<00:00,  5.29it/s]\n 75%|███████▌  | 6/8 [00:01<00:00,  5.17it/s]\n 88%|████████▊ | 7/8 [00:01<00:00,  5.11it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.06it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.31it/s]",
  "output": [
    "https://replicate.delivery/pbxt/nxPstFlOji4gHd9DHVGhouBepO9cJDYxS5eUymAzqdZqYUZSA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-02-22T18:36:24.621331Z",
  "started_at": "2024-02-22T18:36:24.629515Z",
  "completed_at": "2024-02-22T18:36:27.287694Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/i7l46stbj76z6tyygk4azgq6i4/cancel",
    "get": "https://api.replicate.com/v1/predictions/i7l46stbj76z6tyygk4azgq6i4"
  },
  "metrics": {
    "predict_time": 2.658179,
    "total_time": 2.666363
  }
}

Generated in

2.7 seconds

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