lunaon2023/repro31 | Run with an API on Replicate

lunaon2023 / repro31

(Updated 1 year, 8 months ago)

Cold

Public
346 runs
L40S

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

1girl,mahogany hair,short hair, twin braids hair, asymmetrical bangs bangs,,Create a bohemian-style image, with eclectic patterns, earthy colors, and a sense of free-spiritedness and individuality.1girl,mahogany hair,short hair, twin braids hair, asymmetrical bangs bangs,,Create a bohemian-style image, with eclectic patterns, earthy colors, and a sense of free-spiritedness and individuality.

Input prompt

Default: "An astronaut riding a rainbow unicorn"

negative_prompt

string

Shift + Return to add a new line

Input Negative Prompt

Default: ""

width

integer

Width of output image

Default: 1024

height

integer

Height of output image

Default: 1024

scheduler

string

scheduler

Default: "DDIM"

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 7.5

seed

integer

Random seed. Leave blank to randomize the seed

refine

string

Which refine style to use

Default: "expert_ensemble_refiner"

high_noise_frac

number

(minimum: 0, maximum: 1)

for expert_ensemble_refiner, the fraction of noise to use

Default: 0.8

refine_steps

integer

for base_image_refiner, the number of steps to refine, defaults to num_inference_steps

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

npx create-replicate --model=lunaon2023/repro31

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 lunaon2023/repro31 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lunaon2023/repro31:837d4307be2f294ab1bb7354769963dd832708f599154b49f873cf6660e5eba1",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "1girl,mahogany hair,short hair, twin braids hair, asymmetrical bangs bangs,,Create a bohemian-style image, with eclectic patterns, earthy colors, and a sense of free-spiritedness and individuality.",
      refine: "expert_ensemble_refiner",
      scheduler: "DDIM",
      guidance_scale: 7.5,
      high_noise_frac: 0.8,
      negative_prompt: "",
      num_inference_steps: 50
    }
  }
);

// 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 lunaon2023/repro31 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lunaon2023/repro31:837d4307be2f294ab1bb7354769963dd832708f599154b49f873cf6660e5eba1",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "1girl,mahogany hair,short hair, twin braids hair, asymmetrical bangs bangs,,Create a bohemian-style image, with eclectic patterns, earthy colors, and a sense of free-spiritedness and individuality.",
        "refine": "expert_ensemble_refiner",
        "scheduler": "DDIM",
        "guidance_scale": 7.5,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "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 lunaon2023/repro31 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": "lunaon2023/repro31:837d4307be2f294ab1bb7354769963dd832708f599154b49f873cf6660e5eba1",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "1girl,mahogany hair,short hair, twin braids hair, asymmetrical bangs bangs,,Create a bohemian-style image, with eclectic patterns, earthy colors, and a sense of free-spiritedness and individuality.",
      "refine": "expert_ensemble_refiner",
      "scheduler": "DDIM",
      "guidance_scale": 7.5,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "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": "2023-10-20T02:07:58.140169Z",
  "created_at": "2023-10-20T02:04:29.643918Z",
  "data_removed": false,
  "error": null,
  "id": "n7jfeklbrws5byzw6k2drbrmg4",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "1girl,mahogany hair,short hair, twin braids hair, asymmetrical bangs bangs,,Create a bohemian-style image, with eclectic patterns, earthy colors, and a sense of free-spiritedness and individuality.",
    "refine": "expert_ensemble_refiner",
    "scheduler": "DDIM",
    "guidance_scale": 7.5,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "num_inference_steps": 50
  },
  "logs": "Using seed: 44458\n  0%|          | 0/40 [00:00<?, ?it/s]\n  2%|▎         | 1/40 [00:00<00:37,  1.05it/s]\n  5%|▌         | 2/40 [00:01<00:19,  1.96it/s]\n  8%|▊         | 3/40 [00:01<00:13,  2.72it/s]\n 10%|█         | 4/40 [00:01<00:10,  3.33it/s]\n 12%|█▎        | 5/40 [00:01<00:09,  3.78it/s]\n 15%|█▌        | 6/40 [00:01<00:08,  4.13it/s]\n 18%|█▊        | 7/40 [00:02<00:07,  4.39it/s]\n 20%|██        | 8/40 [00:02<00:06,  4.57it/s]\n 22%|██▎       | 9/40 [00:02<00:06,  4.71it/s]\n 25%|██▌       | 10/40 [00:02<00:06,  4.79it/s]\n 28%|██▊       | 11/40 [00:02<00:05,  4.85it/s]\n 30%|███       | 12/40 [00:03<00:05,  4.90it/s]\n 32%|███▎      | 13/40 [00:03<00:05,  4.94it/s]\n 35%|███▌      | 14/40 [00:03<00:05,  4.96it/s]\n 38%|███▊      | 15/40 [00:03<00:05,  4.97it/s]\n 40%|████      | 16/40 [00:03<00:04,  4.98it/s]\n 42%|████▎     | 17/40 [00:04<00:04,  4.99it/s]\n 45%|████▌     | 18/40 [00:04<00:04,  5.00it/s]\n 48%|████▊     | 19/40 [00:04<00:04,  5.01it/s]\n 50%|█████     | 20/40 [00:04<00:03,  5.02it/s]\n 52%|█████▎    | 21/40 [00:04<00:03,  5.03it/s]\n 55%|█████▌    | 22/40 [00:05<00:03,  5.03it/s]\n 57%|█████▊    | 23/40 [00:05<00:03,  5.04it/s]\n 60%|██████    | 24/40 [00:05<00:03,  5.04it/s]\n 62%|██████▎   | 25/40 [00:05<00:02,  5.05it/s]\n 65%|██████▌   | 26/40 [00:05<00:02,  5.04it/s]\n 68%|██████▊   | 27/40 [00:06<00:02,  5.04it/s]\n 70%|███████   | 28/40 [00:06<00:02,  5.04it/s]\n 72%|███████▎  | 29/40 [00:06<00:02,  5.05it/s]\n 75%|███████▌  | 30/40 [00:06<00:01,  5.04it/s]\n 78%|███████▊  | 31/40 [00:06<00:01,  5.04it/s]\n 80%|████████  | 32/40 [00:07<00:01,  5.04it/s]\n 82%|████████▎ | 33/40 [00:07<00:01,  5.04it/s]\n 85%|████████▌ | 34/40 [00:07<00:01,  5.05it/s]\n 88%|████████▊ | 35/40 [00:07<00:00,  5.05it/s]\n 90%|█████████ | 36/40 [00:07<00:00,  5.04it/s]\n 92%|█████████▎| 37/40 [00:08<00:00,  5.04it/s]\n 95%|█████████▌| 38/40 [00:08<00:00,  5.03it/s]\n 98%|█████████▊| 39/40 [00:08<00:00,  5.04it/s]\n100%|██████████| 40/40 [00:08<00:00,  5.04it/s]\n100%|██████████| 40/40 [00:08<00:00,  4.60it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 10%|█         | 1/10 [00:00<00:02,  4.13it/s]\n 20%|██        | 2/10 [00:00<00:01,  4.25it/s]\n 30%|███       | 3/10 [00:00<00:01,  4.30it/s]\n 40%|████      | 4/10 [00:00<00:01,  4.31it/s]\n 50%|█████     | 5/10 [00:01<00:01,  4.32it/s]\n 60%|██████    | 6/10 [00:01<00:00,  4.33it/s]\n 70%|███████   | 7/10 [00:01<00:00,  4.34it/s]\n 80%|████████  | 8/10 [00:01<00:00,  4.34it/s]\n 90%|█████████ | 9/10 [00:02<00:00,  4.34it/s]\n100%|██████████| 10/10 [00:02<00:00,  4.34it/s]\n100%|██████████| 10/10 [00:02<00:00,  4.32it/s]",
  "metrics": {
    "predict_time": 13.449724,
    "total_time": 208.496251
  },
  "output": "https://pbxt.replicate.delivery/ATfG5wT2EJ1GD60XWv6bC5zKNepXE6mWdfGOgNML8Li6XyfGB/output.png",
  "started_at": "2023-10-20T02:07:44.690445Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/n7jfeklbrws5byzw6k2drbrmg4",
    "cancel": "https://api.replicate.com/v1/predictions/n7jfeklbrws5byzw6k2drbrmg4/cancel"
  },
  "version": "837d4307be2f294ab1bb7354769963dd832708f599154b49f873cf6660e5eba1"
}

Generated in

13.4 seconds

Tweak itReport View full prediction

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Examples

View more examples

Run time and cost

This model costs approximately $0.012 to run on Replicate, or 83 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 13 seconds. The predict time for this model varies significantly based on the inputs.

Readme

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