datacte/prometheusv1:a40536dd – Run with an API on Replicate

Version

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datacte /prometheusv1:a40536dd

Playground API

Input

prompt

string

Shift + Return to add a new line

Input prompt

Default: "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

string

Shift + Return to add a new line

Negative Input prompt

Default: ""

image

file

Input image for img2img or inpaint mode

mask

file

Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.

width

integer

Width of output image

Default: 1024

height

integer

Height of output image

Default: 1024

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

scheduler

string

scheduler

Default: "DPM++2MSDE"

num_inference_steps

integer

(minimum: 1, maximum: 100)

Number of denoising steps. 20 to 60 steps for more detail, 20 steps for faster results.

Default: 50

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance. Recommended 4-6

Default: 7

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image

Default: 0.8

seed

integer

Random seed. Leave blank to randomize the seed

disable_safety_checker

boolean

Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety

Default: false

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

npx create-replicate --model=datacte/prometheusv1

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";
import fs from "node:fs";

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

Run datacte/prometheusv1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "datacte/prometheusv1:a40536dd5f61e7c3c43060dff5b9b488a749dec1cb283a904dd82032fc717295",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "1980s anime portrait of a character ",
      scheduler: "DPM++2MSDE",
      num_outputs: 1,
      guidance_scale: 7,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 50
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run datacte/prometheusv1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "datacte/prometheusv1:a40536dd5f61e7c3c43060dff5b9b488a749dec1cb283a904dd82032fc717295",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "1980s anime portrait of a character ",
        "scheduler": "DPM++2MSDE",
        "num_outputs": 1,
        "guidance_scale": 7,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 50
    }
)
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 datacte/prometheusv1 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/prometheusv1:a40536dd5f61e7c3c43060dff5b9b488a749dec1cb283a904dd82032fc717295",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "1980s anime portrait of a character ",
      "scheduler": "DPM++2MSDE",
      "num_outputs": 1,
      "guidance_scale": 7,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-07-23T20:27:56.162034Z",
  "created_at": "2024-07-23T20:27:44.876000Z",
  "data_removed": false,
  "error": null,
  "id": "5fxseetddhrj40cgw53rjd086w",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "1980s anime portrait of a character ",
    "scheduler": "DPM++2MSDE",
    "num_outputs": 1,
    "guidance_scale": 7,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 2039729168\nPrompt: 1980s anime portrait of a character\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:07,  6.39it/s]\n  4%|▍         | 2/50 [00:00<00:08,  5.46it/s]\n  6%|▌         | 3/50 [00:00<00:09,  5.22it/s]\n  8%|▊         | 4/50 [00:00<00:09,  5.10it/s]\n 10%|█         | 5/50 [00:00<00:08,  5.04it/s]\n 12%|█▏        | 6/50 [00:01<00:08,  5.00it/s]\n 14%|█▍        | 7/50 [00:01<00:08,  4.97it/s]\n 16%|█▌        | 8/50 [00:01<00:08,  4.95it/s]\n 18%|█▊        | 9/50 [00:01<00:08,  4.94it/s]\n 20%|██        | 10/50 [00:01<00:08,  4.93it/s]\n 22%|██▏       | 11/50 [00:02<00:07,  4.93it/s]\n 24%|██▍       | 12/50 [00:02<00:07,  4.93it/s]\n 26%|██▌       | 13/50 [00:02<00:07,  4.93it/s]\n 28%|██▊       | 14/50 [00:02<00:07,  4.93it/s]\n 30%|███       | 15/50 [00:02<00:07,  4.92it/s]\n 32%|███▏      | 16/50 [00:03<00:06,  4.93it/s]\n 34%|███▍      | 17/50 [00:03<00:06,  4.93it/s]\n 36%|███▌      | 18/50 [00:03<00:06,  4.93it/s]\n 38%|███▊      | 19/50 [00:03<00:06,  4.93it/s]\n 40%|████      | 20/50 [00:04<00:06,  4.93it/s]\n 42%|████▏     | 21/50 [00:04<00:05,  4.93it/s]\n 44%|████▍     | 22/50 [00:04<00:05,  4.92it/s]\n 46%|████▌     | 23/50 [00:04<00:05,  4.92it/s]\n 48%|████▊     | 24/50 [00:04<00:05,  4.92it/s]\n 50%|█████     | 25/50 [00:05<00:05,  4.91it/s]\n 52%|█████▏    | 26/50 [00:05<00:04,  4.90it/s]\n 54%|█████▍    | 27/50 [00:05<00:04,  4.90it/s]\n 56%|█████▌    | 28/50 [00:05<00:04,  4.91it/s]\n 58%|█████▊    | 29/50 [00:05<00:04,  4.91it/s]\n 60%|██████    | 30/50 [00:06<00:04,  4.91it/s]\n 62%|██████▏   | 31/50 [00:06<00:03,  4.91it/s]\n 64%|██████▍   | 32/50 [00:06<00:03,  4.92it/s]\n 66%|██████▌   | 33/50 [00:06<00:03,  4.91it/s]\n 68%|██████▊   | 34/50 [00:06<00:03,  4.91it/s]\n 70%|███████   | 35/50 [00:07<00:03,  4.91it/s]\n 72%|███████▏  | 36/50 [00:07<00:02,  4.91it/s]\n 74%|███████▍  | 37/50 [00:07<00:02,  4.91it/s]\n 76%|███████▌  | 38/50 [00:07<00:02,  4.91it/s]\n 78%|███████▊  | 39/50 [00:07<00:02,  4.91it/s]\n 80%|████████  | 40/50 [00:08<00:02,  4.91it/s]\n 82%|████████▏ | 41/50 [00:08<00:01,  4.91it/s]\n 84%|████████▍ | 42/50 [00:08<00:01,  4.92it/s]\n 86%|████████▌ | 43/50 [00:08<00:01,  4.92it/s]\n 88%|████████▊ | 44/50 [00:08<00:01,  4.92it/s]\n 90%|█████████ | 45/50 [00:09<00:01,  4.92it/s]\n 92%|█████████▏| 46/50 [00:09<00:00,  4.91it/s]\n 94%|█████████▍| 47/50 [00:09<00:00,  4.91it/s]\n 96%|█████████▌| 48/50 [00:09<00:00,  4.91it/s]\n 98%|█████████▊| 49/50 [00:09<00:00,  4.90it/s]\n100%|██████████| 50/50 [00:10<00:00,  5.77it/s]\n100%|██████████| 50/50 [00:10<00:00,  4.99it/s]",
  "metrics": {
    "predict_time": 11.279661154,
    "total_time": 11.286034
  },
  "output": [
    "https://replicate.delivery/yhqm/sYddbUullVpzBhdGrY5x3gFLovBVqgPPW3fjFYHPeYjLRcLTA/out-0.png"
  ],
  "started_at": "2024-07-23T20:27:44.882372Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/5fxseetddhrj40cgw53rjd086w",
    "cancel": "https://api.replicate.com/v1/predictions/5fxseetddhrj40cgw53rjd086w/cancel"
  },
  "version": "a40536dd5f61e7c3c43060dff5b9b488a749dec1cb283a904dd82032fc717295"
}

Generated in

11.3 seconds

Tweak it Share Report

Using seed: 2039729168
Prompt: 1980s anime portrait of a character
txt2img mode
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