Prediction

ID

afi6qq3bqr4dbwvugbuluvxd7u

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.7s

Created

over 1 year ago

Input

width: 1024
height: 1024
prompt: 3 fish in a fish tank wearing adorable outfits, best quality, hd
scheduler: K_EULER_ANCESTRAL
num_outputs: 1
guidance_scale: 2
apply_watermark
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
prompt_strength: 0.8
num_inference_steps: 8

{
  "width": 1024,
  "height": 1024,
  "prompt": "3 fish in a fish tank wearing adorable outfits, best quality, hd",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "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",
  "prompt_strength": 0.8,
  "num_inference_steps": 8
}

npm install replicate

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: {
      width: 1024,
      height: 1024,
      prompt: "3 fish in a fish tank wearing adorable outfits, best quality, hd",
      scheduler: "K_EULER_ANCESTRAL",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      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",
      prompt_strength: 0.8,
      num_inference_steps: 8
    }
  }
);

// 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 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={
        "width": 1024,
        "height": 1024,
        "prompt": "3 fish in a fish tank wearing adorable outfits, best quality, hd",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "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",
        "prompt_strength": 0.8,
        "num_inference_steps": 8
    }
)
print(output)

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

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": {
      "width": 1024,
      "height": 1024,
      "prompt": "3 fish in a fish tank wearing adorable outfits, best quality, hd",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "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",
      "prompt_strength": 0.8,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.7 seconds

datacte/proteus-v0.4-lightning:21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c

Prediction

Model

ID

xgywnqtb6pbelltnjwdv5its2y

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.7s

Created

over 1 year ago

Input

width: 1024
height: 1024
prompt: a woman sitting in a wooden chair in the middle of a grass field on a farm, moonlight, best quality, hd, anime art
scheduler: K_EULER_ANCESTRAL
num_outputs: 1
guidance_scale: 2
apply_watermark
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
prompt_strength: 0.8
num_inference_steps: 8

{
  "width": 1024,
  "height": 1024,
  "prompt": "a woman sitting in a wooden chair in the middle of a grass field on a farm, moonlight, best quality, hd, anime art",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "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",
  "prompt_strength": 0.8,
  "num_inference_steps": 8
}

npm install replicate

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: {
      width: 1024,
      height: 1024,
      prompt: "a woman sitting in a wooden chair in the middle of a grass field on a farm, moonlight, best quality, hd, anime art",
      scheduler: "K_EULER_ANCESTRAL",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      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",
      prompt_strength: 0.8,
      num_inference_steps: 8
    }
  }
);

// 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 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={
        "width": 1024,
        "height": 1024,
        "prompt": "a woman sitting in a wooden chair in the middle of a grass field on a farm, moonlight, best quality, hd, anime art",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "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",
        "prompt_strength": 0.8,
        "num_inference_steps": 8
    }
)
print(output)

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

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": {
      "width": 1024,
      "height": 1024,
      "prompt": "a woman sitting in a wooden chair in the middle of a grass field on a farm, moonlight, best quality, hd, anime art",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "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",
      "prompt_strength": 0.8,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-22T18:33:20.016077Z",
  "created_at": "2024-02-22T18:33:17.322199Z",
  "data_removed": false,
  "error": null,
  "id": "xgywnqtb6pbelltnjwdv5its2y",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "a woman sitting in a wooden chair in the middle of a grass field on a farm, moonlight, best quality, hd, anime art",
    "scheduler": "K_EULER_ANCESTRAL",
    "num_outputs": 1,
    "guidance_scale": 2,
    "apply_watermark": true,
    "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",
    "prompt_strength": 0.8,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 2385613560\nPrompt: a woman sitting in a wooden chair in the middle of a grass field on a farm, moonlight, best quality, hd, anime art\ntxt2img mode\n  0%|          | 0/8 [00:00<?, ?it/s]\n 25%|██▌       | 2/8 [00:00<00:00,  6.80it/s]\n 38%|███▊      | 3/8 [00:00<00:00,  5.90it/s]\n 50%|█████     | 4/8 [00:00<00:00,  5.52it/s]\n 62%|██████▎   | 5/8 [00:00<00:00,  5.31it/s]\n 75%|███████▌  | 6/8 [00:01<00:00,  5.19it/s]\n 88%|████████▊ | 7/8 [00:01<00:00,  5.12it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.06it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.32it/s]",
  "metrics": {
    "predict_time": 2.686857,
    "total_time": 2.693878
  },
  "output": [
    "https://replicate.delivery/pbxt/2eW9pKYkKywZJy4sM6fg35ZXbVEp6z7X0efhkere8kkxbFVmE/out-0.png"
  ],
  "started_at": "2024-02-22T18:33:17.329220Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/xgywnqtb6pbelltnjwdv5its2y",
    "cancel": "https://api.replicate.com/v1/predictions/xgywnqtb6pbelltnjwdv5its2y/cancel"
  },
  "version": "21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c"
}

Generated in

2.7 seconds

datacte/proteus-v0.4-lightning:21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c

Prediction

Model

ID

nehqoklbezmfag5s42ye7thd64

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.6s

Created

over 1 year ago

Input

width: 1024
height: 1024
prompt: The image features an older man, a long white beard and mustache, He has a stern expression, giving the impression of a wise and experienced individual. The mans beard and mustache are prominent, adding to his distinguished appearance. The close-up shot of the mans face emphasizes his facial features and the intensity of his gaze.
scheduler: K_EULER_ANCESTRAL
num_outputs: 1
guidance_scale: 2
apply_watermark
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
prompt_strength: 0.8
num_inference_steps: 8

{
  "width": 1024,
  "height": 1024,
  "prompt": "The image features an older man, a long white beard and mustache, He has a stern expression, giving the impression of a wise and experienced individual. The mans beard and mustache are prominent, adding to his distinguished appearance. The close-up shot of the mans face emphasizes his facial features and the intensity of his gaze.",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "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",
  "prompt_strength": 0.8,
  "num_inference_steps": 8
}

npm install replicate

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: {
      width: 1024,
      height: 1024,
      prompt: "The image features an older man, a long white beard and mustache, He has a stern expression, giving the impression of a wise and experienced individual. The mans beard and mustache are prominent, adding to his distinguished appearance. The close-up shot of the mans face emphasizes his facial features and the intensity of his gaze.",
      scheduler: "K_EULER_ANCESTRAL",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      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",
      prompt_strength: 0.8,
      num_inference_steps: 8
    }
  }
);

// 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 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={
        "width": 1024,
        "height": 1024,
        "prompt": "The image features an older man, a long white beard and mustache, He has a stern expression, giving the impression of a wise and experienced individual. The mans beard and mustache are prominent, adding to his distinguished appearance. The close-up shot of the mans face emphasizes his facial features and the intensity of his gaze.",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "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",
        "prompt_strength": 0.8,
        "num_inference_steps": 8
    }
)
print(output)

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

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": {
      "width": 1024,
      "height": 1024,
      "prompt": "The image features an older man, a long white beard and mustache, He has a stern expression, giving the impression of a wise and experienced individual. The mans beard and mustache are prominent, adding to his distinguished appearance. The close-up shot of the mans face emphasizes his facial features and the intensity of his gaze.",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "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",
      "prompt_strength": 0.8,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-22T18:35:18.155034Z",
  "created_at": "2024-02-22T18:35:15.544380Z",
  "data_removed": false,
  "error": null,
  "id": "nehqoklbezmfag5s42ye7thd64",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "The image features an older man, a long white beard and mustache, He has a stern expression, giving the impression of a wise and experienced individual. The mans beard and mustache are prominent, adding to his distinguished appearance. The close-up shot of the mans face emphasizes his facial features and the intensity of his gaze.",
    "scheduler": "K_EULER_ANCESTRAL",
    "num_outputs": 1,
    "guidance_scale": 2,
    "apply_watermark": true,
    "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",
    "prompt_strength": 0.8,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 3237963114\nPrompt: The image features an older man, a long white beard and mustache, He has a stern expression, giving the impression of a wise and experienced individual. The mans beard and mustache are prominent, adding to his distinguished appearance. The close-up shot of the mans face emphasizes his facial features and the intensity of his gaze.\ntxt2img mode\n  0%|          | 0/8 [00:00<?, ?it/s]\n 25%|██▌       | 2/8 [00:00<00:00,  6.76it/s]\n 38%|███▊      | 3/8 [00:00<00:00,  5.89it/s]\n 50%|█████     | 4/8 [00:00<00:00,  5.52it/s]\n 62%|██████▎   | 5/8 [00:00<00:00,  5.31it/s]\n 75%|███████▌  | 6/8 [00:01<00:00,  5.19it/s]\n 88%|████████▊ | 7/8 [00:01<00:00,  5.12it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.07it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.33it/s]",
  "metrics": {
    "predict_time": 2.605612,
    "total_time": 2.610654
  },
  "output": [
    "https://replicate.delivery/pbxt/JQW7q8cwLzJ0JlqRT5Eag5kQvle5jbP2OeRxO6RdGNfLvoykA/out-0.png"
  ],
  "started_at": "2024-02-22T18:35:15.549422Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/nehqoklbezmfag5s42ye7thd64",
    "cancel": "https://api.replicate.com/v1/predictions/nehqoklbezmfag5s42ye7thd64/cancel"
  },
  "version": "21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c"
}

Generated in

2.6 seconds

datacte/proteus-v0.4-lightning:21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c

Prediction

Model

ID

pnwqrl3bsdcbwsygw2apqhmvdq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

5.1s

Created

over 1 year ago

Input

width: 1024
height: 1024
prompt: Masterpiece, glitch, holy holy holy, fog, by DarkIncursio
scheduler: K_EULER_ANCESTRAL
num_outputs: 1
guidance_scale: 2
apply_watermark
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
prompt_strength: 0.8
num_inference_steps: 8

{
  "width": 1024,
  "height": 1024,
  "prompt": "Masterpiece, glitch, holy holy holy, fog, by DarkIncursio",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "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",
  "prompt_strength": 0.8,
  "num_inference_steps": 8
}

npm install replicate

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: {
      width: 1024,
      height: 1024,
      prompt: "Masterpiece, glitch, holy holy holy, fog, by DarkIncursio",
      scheduler: "K_EULER_ANCESTRAL",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      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",
      prompt_strength: 0.8,
      num_inference_steps: 8
    }
  }
);

// 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 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={
        "width": 1024,
        "height": 1024,
        "prompt": "Masterpiece, glitch, holy holy holy, fog, by DarkIncursio",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "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",
        "prompt_strength": 0.8,
        "num_inference_steps": 8
    }
)
print(output)

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

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": {
      "width": 1024,
      "height": 1024,
      "prompt": "Masterpiece, glitch, holy holy holy, fog, by DarkIncursio",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "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",
      "prompt_strength": 0.8,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.7 seconds

datacte/proteus-v0.4-lightning:21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c

Prediction

Model

ID

xipbfr3bpwwfm3ydrbcb6z3fim

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.7s

Created

over 1 year ago

Input

width: 1024
height: 1024
prompt: jpeg Full Body Photo of a weird imaginary Female creatures captured on celluloid film, (((ghost))),heavy rain, thunder, snow, water's surface, night, expressionless, Blood, Japan God,(school), Ultra Realistic, ((Scary)),looking at camera, screem, plaintive cries, Long claws, fangs, scales,8k, HDR, 500px, mysterious and ornate digital art, photic, intricate, fantasy aesthetic.
scheduler: K_EULER_ANCESTRAL
num_outputs: 1
guidance_scale: 2
apply_watermark
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
prompt_strength: 0.8
num_inference_steps: 8

{
  "width": 1024,
  "height": 1024,
  "prompt": "jpeg Full Body Photo of a weird imaginary Female creatures captured on celluloid film, (((ghost))),heavy rain, thunder, snow, water's surface, night, expressionless, Blood, Japan God,(school), Ultra Realistic, ((Scary)),looking at camera, screem, plaintive cries, Long claws, fangs, scales,8k, HDR, 500px, mysterious and ornate digital art, photic, intricate, fantasy aesthetic.",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "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",
  "prompt_strength": 0.8,
  "num_inference_steps": 8
}

npm install replicate

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: {
      width: 1024,
      height: 1024,
      prompt: "jpeg Full Body Photo of a weird imaginary Female creatures captured on celluloid film, (((ghost))),heavy rain, thunder, snow, water's surface, night, expressionless, Blood, Japan God,(school), Ultra Realistic, ((Scary)),looking at camera, screem, plaintive cries, Long claws, fangs, scales,8k, HDR, 500px, mysterious and ornate digital art, photic, intricate, fantasy aesthetic.",
      scheduler: "K_EULER_ANCESTRAL",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      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",
      prompt_strength: 0.8,
      num_inference_steps: 8
    }
  }
);

// 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 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={
        "width": 1024,
        "height": 1024,
        "prompt": "jpeg Full Body Photo of a weird imaginary Female creatures captured on celluloid film, (((ghost))),heavy rain, thunder, snow, water's surface, night, expressionless, Blood, Japan God,(school), Ultra Realistic, ((Scary)),looking at camera, screem, plaintive cries, Long claws, fangs, scales,8k, HDR, 500px, mysterious and ornate digital art, photic, intricate, fantasy aesthetic.",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "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",
        "prompt_strength": 0.8,
        "num_inference_steps": 8
    }
)
print(output)

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

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": {
      "width": 1024,
      "height": 1024,
      "prompt": "jpeg Full Body Photo of a weird imaginary Female creatures captured on celluloid film, (((ghost))),heavy rain, thunder, snow, water\'s surface, night, expressionless, Blood, Japan God,(school), Ultra Realistic, ((Scary)),looking at camera, screem, plaintive cries, Long claws, fangs, scales,8k, HDR, 500px, mysterious and ornate digital art, photic, intricate, fantasy aesthetic.",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "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",
      "prompt_strength": 0.8,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-22T18:34:10.858916Z",
  "created_at": "2024-02-22T18:34:08.125968Z",
  "data_removed": false,
  "error": null,
  "id": "xipbfr3bpwwfm3ydrbcb6z3fim",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "jpeg Full Body Photo of a weird imaginary Female creatures captured on celluloid film, (((ghost))),heavy rain, thunder, snow, water's surface, night, expressionless, Blood, Japan God,(school), Ultra Realistic, ((Scary)),looking at camera, screem, plaintive cries, Long claws, fangs, scales,8k, HDR, 500px, mysterious and ornate digital art, photic, intricate, fantasy aesthetic.",
    "scheduler": "K_EULER_ANCESTRAL",
    "num_outputs": 1,
    "guidance_scale": 2,
    "apply_watermark": true,
    "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",
    "prompt_strength": 0.8,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 1668726104\nPrompt: jpeg Full Body Photo of a weird imaginary Female creatures captured on celluloid film, (((ghost))),heavy rain, thunder, snow, water's surface, night, expressionless, Blood, Japan God,(school), Ultra Realistic, ((Scary)),looking at camera, screem, plaintive cries, Long claws, fangs, scales,8k, HDR, 500px, mysterious and ornate digital art, photic, intricate, fantasy aesthetic.\ntxt2img mode\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['hdr, 5 0 0 px, mysterious and ornate digital art, photic, intricate, fantasy aesthetic.']\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['hdr, 5 0 0 px, mysterious and ornate digital art, photic, intricate, fantasy aesthetic.']\n  0%|          | 0/8 [00:00<?, ?it/s]\n 25%|██▌       | 2/8 [00:00<00:00,  6.79it/s]\n 38%|███▊      | 3/8 [00:00<00:00,  5.90it/s]\n 50%|█████     | 4/8 [00:00<00:00,  5.52it/s]\n 62%|██████▎   | 5/8 [00:00<00:00,  5.31it/s]\n 75%|███████▌  | 6/8 [00:01<00:00,  5.19it/s]\n 88%|████████▊ | 7/8 [00:01<00:00,  5.11it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.07it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.33it/s]",
  "metrics": {
    "predict_time": 2.715743,
    "total_time": 2.732948
  },
  "output": [
    "https://replicate.delivery/pbxt/SLGE0lls1hJeY6ragXfHMJJGxuFXJ7wkXS5MHeDASjGFtoykA/out-0.png"
  ],
  "started_at": "2024-02-22T18:34:08.143173Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/xipbfr3bpwwfm3ydrbcb6z3fim",
    "cancel": "https://api.replicate.com/v1/predictions/xipbfr3bpwwfm3ydrbcb6z3fim/cancel"
  },
  "version": "21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c"
}

Generated in

2.7 seconds

datacte/proteus-v0.4-lightning:21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c

Prediction

Model

ID

zdi34glbwdy5tcc7kg7ns3kehu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.6s

Created

over 1 year ago

Input

width: 1024
height: 1024
prompt: The divine tree of knowledge, an interplay between purple and gold, floats in the void of the sea of quanta, the tree is made of crystal, the void is made of nothingness, strong contrast, dim lighting, beautiful and surreal scene. wide shot
scheduler: K_EULER_ANCESTRAL
num_outputs: 1
guidance_scale: 2
apply_watermark
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
prompt_strength: 0.8
num_inference_steps: 8

{
  "width": 1024,
  "height": 1024,
  "prompt": "The divine tree of knowledge, an interplay between purple and gold, floats in the void of the sea of quanta, the tree is made of crystal, the void is made of nothingness, strong contrast, dim lighting, beautiful and surreal scene. wide shot",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "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",
  "prompt_strength": 0.8,
  "num_inference_steps": 8
}

npm install replicate

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: {
      width: 1024,
      height: 1024,
      prompt: "The divine tree of knowledge, an interplay between purple and gold, floats in the void of the sea of quanta, the tree is made of crystal, the void is made of nothingness, strong contrast, dim lighting, beautiful and surreal scene. wide shot",
      scheduler: "K_EULER_ANCESTRAL",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      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",
      prompt_strength: 0.8,
      num_inference_steps: 8
    }
  }
);

// 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 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={
        "width": 1024,
        "height": 1024,
        "prompt": "The divine tree of knowledge, an interplay between purple and gold, floats in the void of the sea of quanta, the tree is made of crystal, the void is made of nothingness, strong contrast, dim lighting, beautiful and surreal scene. wide shot",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "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",
        "prompt_strength": 0.8,
        "num_inference_steps": 8
    }
)
print(output)

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

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": {
      "width": 1024,
      "height": 1024,
      "prompt": "The divine tree of knowledge, an interplay between purple and gold, floats in the void of the sea of quanta, the tree is made of crystal, the void is made of nothingness, strong contrast, dim lighting, beautiful and surreal scene. wide shot",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "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",
      "prompt_strength": 0.8,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-22T18:35:07.940915Z",
  "created_at": "2024-02-22T18:35:05.295613Z",
  "data_removed": false,
  "error": null,
  "id": "zdi34glbwdy5tcc7kg7ns3kehu",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "The divine tree of knowledge, an interplay between purple and gold, floats in the void of the sea of quanta, the tree is made of crystal, the void is made of nothingness, strong contrast, dim lighting, beautiful and surreal scene. wide shot",
    "scheduler": "K_EULER_ANCESTRAL",
    "num_outputs": 1,
    "guidance_scale": 2,
    "apply_watermark": true,
    "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",
    "prompt_strength": 0.8,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 2005253258\nPrompt: The divine tree of knowledge, an interplay between purple and gold, floats in the void of the sea of quanta, the tree is made of crystal, the void is made of nothingness, strong contrast, dim lighting, beautiful and surreal scene. wide shot\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,  5.48it/s]\n 62%|██████▎   | 5/8 [00:00<00:00,  5.27it/s]\n 75%|███████▌  | 6/8 [00:01<00:00,  5.14it/s]\n 88%|████████▊ | 7/8 [00:01<00:00,  5.07it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.02it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.28it/s]",
  "metrics": {
    "predict_time": 2.639164,
    "total_time": 2.645302
  },
  "output": [
    "https://replicate.delivery/pbxt/gvA3mUJY92bYFhLhb1NoplJly3k8SsudfpxlwJJ5q1stLqMJA/out-0.png"
  ],
  "started_at": "2024-02-22T18:35:05.301751Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/zdi34glbwdy5tcc7kg7ns3kehu",
    "cancel": "https://api.replicate.com/v1/predictions/zdi34glbwdy5tcc7kg7ns3kehu/cancel"
  },
  "version": "21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c"
}

Generated in

2.6 seconds

datacte/proteus-v0.4-lightning:21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c

Prediction

Model

ID

ajy67x3bvy7dtcmx6zoi3yrnii

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.7s

Created

over 1 year ago

Input

width: 1024
height: 1024
prompt: Ghost in the Shell Stand Alone Complex
scheduler: K_EULER_ANCESTRAL
num_outputs: 1
guidance_scale: 2
apply_watermark
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
prompt_strength: 0.8
num_inference_steps: 8

{
  "width": 1024,
  "height": 1024,
  "prompt": "Ghost in the Shell Stand Alone Complex",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "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",
  "prompt_strength": 0.8,
  "num_inference_steps": 8
}

npm install replicate

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: {
      width: 1024,
      height: 1024,
      prompt: "Ghost in the Shell Stand Alone Complex",
      scheduler: "K_EULER_ANCESTRAL",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      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",
      prompt_strength: 0.8,
      num_inference_steps: 8
    }
  }
);

// 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 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={
        "width": 1024,
        "height": 1024,
        "prompt": "Ghost in the Shell Stand Alone Complex",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "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",
        "prompt_strength": 0.8,
        "num_inference_steps": 8
    }
)
print(output)

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

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": {
      "width": 1024,
      "height": 1024,
      "prompt": "Ghost in the Shell Stand Alone Complex",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "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",
      "prompt_strength": 0.8,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.7 seconds

datacte/proteus-v0.4-lightning:21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c

Prediction

Model

ID

lruxxhlbzkhpuc4n4wjj2bon7a

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.7s

Created

over 1 year ago

Input

width: 1024
height: 1024
prompt: (impressionistic realism by csybgh), a 50 something male, working in banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry, talks a lot but listens poorly, stuck in the past, wearing a suit, he has a certain charm, bronze skintone, sitting in a bar at night, he is smoking and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey ambiance, perfect hands AND fingers
scheduler: K_EULER_ANCESTRAL
num_outputs: 1
guidance_scale: 2
apply_watermark
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
prompt_strength: 0.8
num_inference_steps: 8

{
  "width": 1024,
  "height": 1024,
  "prompt": "(impressionistic realism by csybgh), a 50 something male, working in banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry, talks a lot but listens poorly, stuck in the past, wearing a suit, he has a certain charm, bronze skintone, sitting in a bar at night, he is smoking and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey ambiance, perfect hands AND fingers",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "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",
  "prompt_strength": 0.8,
  "num_inference_steps": 8
}

npm install replicate

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: {
      width: 1024,
      height: 1024,
      prompt: "(impressionistic realism by csybgh), a 50 something male, working in banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry, talks a lot but listens poorly, stuck in the past, wearing a suit, he has a certain charm, bronze skintone, sitting in a bar at night, he is smoking and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey ambiance, perfect hands AND fingers",
      scheduler: "K_EULER_ANCESTRAL",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      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",
      prompt_strength: 0.8,
      num_inference_steps: 8
    }
  }
);

// 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 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={
        "width": 1024,
        "height": 1024,
        "prompt": "(impressionistic realism by csybgh), a 50 something male, working in banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry, talks a lot but listens poorly, stuck in the past, wearing a suit, he has a certain charm, bronze skintone, sitting in a bar at night, he is smoking and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey ambiance, perfect hands AND fingers",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "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",
        "prompt_strength": 0.8,
        "num_inference_steps": 8
    }
)
print(output)

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

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": {
      "width": 1024,
      "height": 1024,
      "prompt": "(impressionistic realism by csybgh), a 50 something male, working in banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry, talks a lot but listens poorly, stuck in the past, wearing a suit, he has a certain charm, bronze skintone, sitting in a bar at night, he is smoking and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey ambiance, perfect hands AND fingers",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "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",
      "prompt_strength": 0.8,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-22T18:36:09.957866Z",
  "created_at": "2024-02-22T18:36:07.273411Z",
  "data_removed": false,
  "error": null,
  "id": "lruxxhlbzkhpuc4n4wjj2bon7a",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "(impressionistic realism by csybgh), a 50 something male, working in banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry, talks a lot but listens poorly, stuck in the past, wearing a suit, he has a certain charm, bronze skintone, sitting in a bar at night, he is smoking and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey ambiance, perfect hands AND fingers",
    "scheduler": "K_EULER_ANCESTRAL",
    "num_outputs": 1,
    "guidance_scale": 2,
    "apply_watermark": true,
    "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",
    "prompt_strength": 0.8,
    "num_inference_steps": 8
  },
  "logs": "Using seed: 2800579818\nPrompt: (impressionistic realism by csybgh), a 50 something male, working in banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry, talks a lot but listens poorly, stuck in the past, wearing a suit, he has a certain charm, bronze skintone, sitting in a bar at night, he is smoking and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey ambiance, perfect hands AND fingers\ntxt2img mode\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['feeling cool, drunk on plum wine, masterpiece, 8 k, hyper detailed, smokey ambiance, perfect hands and fingers']\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['feeling cool, drunk on plum wine, masterpiece, 8 k, hyper detailed, smokey ambiance, perfect hands and fingers']\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,  5.51it/s]\n 62%|██████▎   | 5/8 [00:00<00:00,  5.30it/s]\n 75%|███████▌  | 6/8 [00:01<00:00,  5.18it/s]\n 88%|████████▊ | 7/8 [00:01<00:00,  5.11it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.07it/s]\n100%|██████████| 8/8 [00:01<00:00,  5.32it/s]",
  "metrics": {
    "predict_time": 2.657362,
    "total_time": 2.684455
  },
  "output": [
    "https://replicate.delivery/pbxt/ieIFdAkblOVhJKC5mf0NoHIFR3xeSvDZck52u3WXxsKzwoykA/out-0.png"
  ],
  "started_at": "2024-02-22T18:36:07.300504Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/lruxxhlbzkhpuc4n4wjj2bon7a",
    "cancel": "https://api.replicate.com/v1/predictions/lruxxhlbzkhpuc4n4wjj2bon7a/cancel"
  },
  "version": "21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c"
}

Generated in

2.7 seconds

datacte/proteus-v0.4-lightning:21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c

Prediction

Model

ID

i7l46stbj76z6tyygk4azgq6i4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.7s

Created

over 1 year ago

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
scheduler: K_EULER_ANCESTRAL
num_outputs: 1
guidance_scale: 2
apply_watermark
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
prompt_strength: 0.8
num_inference_steps: 8

{
  "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",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "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",
  "prompt_strength": 0.8,
  "num_inference_steps": 8
}

npm install replicate

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: {
      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",
      scheduler: "K_EULER_ANCESTRAL",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      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",
      prompt_strength: 0.8,
      num_inference_steps: 8
    }
  }
);

// 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 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={
        "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",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "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",
        "prompt_strength": 0.8,
        "num_inference_steps": 8
    }
)
print(output)

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

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": {
      "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",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "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",
      "prompt_strength": 0.8,
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-02-22T18:36:27.287694Z",
  "created_at": "2024-02-22T18:36:24.621331Z",
  "data_removed": false,
  "error": null,
  "id": "i7l46stbj76z6tyygk4azgq6i4",
  "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",
    "scheduler": "K_EULER_ANCESTRAL",
    "num_outputs": 1,
    "guidance_scale": 2,
    "apply_watermark": true,
    "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",
    "prompt_strength": 0.8,
    "num_inference_steps": 8
  },
  "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]",
  "metrics": {
    "predict_time": 2.658179,
    "total_time": 2.666363
  },
  "output": [
    "https://replicate.delivery/pbxt/nxPstFlOji4gHd9DHVGhouBepO9cJDYxS5eUymAzqdZqYUZSA/out-0.png"
  ],
  "started_at": "2024-02-22T18:36:24.629515Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/i7l46stbj76z6tyygk4azgq6i4",
    "cancel": "https://api.replicate.com/v1/predictions/i7l46stbj76z6tyygk4azgq6i4/cancel"
  },
  "version": "21464a198e9baa3b583f93d8daaaa9e851b91ae1e32accb96ce5081a18a2d87c"
}

Generated in

2.7 seconds