artificialguybr / nebul.redmond

Nebul.Redmond - Stable Diffusion SD XL Finetuned Model

Cold

Public
16.9K runs
L40S
GitHub
License

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

masterpiece, high quality, ultra good, this is the good stuff, best prompt ever, portrait of a woman, freckles, gingermasterpiece, high quality, ultra good, this is the good stuff, best prompt ever, portrait of a woman, freckles, ginger

Input prompt

Default: "An astronaut riding a rainbow unicorn"

negative_prompt

string

Shift + Return to add a new line

long torso, tall, bad quality, worst quality, normal quality, elderly, old, granny, 3d, sfm, text, watermark, low-quality, signature, moiré pattern, downsampling, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrastlong torso, tall, bad quality, worst quality, normal quality, elderly, old, granny, 3d, sfm, text, watermark, low-quality, signature, moiré pattern, downsampling, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast

Input Negative Prompt

Default: ""

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: "K_EULER"

num_inference_steps

integer

(minimum: 1, maximum: 100)

Number of denoising steps

Default: 40

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

seed

integer

Random seed. Leave blank to randomize the seed

apply_watermark

boolean

Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.

Default: true

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](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=artificialguybr/nebul.redmond

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

const output = await replicate.run(
  "artificialguybr/nebul.redmond:1abd2490609ffab31652791c065fa2da180053b77fe0ed0e7e879460bf549d33",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "masterpiece, high quality, ultra good, this is the good stuff, best prompt ever, portrait of a woman, freckles, ginger",
      scheduler: "K_EULER",
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: true,
      negative_prompt: "long torso, tall, bad quality, worst quality, normal quality, elderly, old, granny, 3d, sfm, text, watermark, low-quality, signature, moiré pattern, downsampling, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast",
      num_inference_steps: 40
    }
  }
);

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

output = replicate.run(
    "artificialguybr/nebul.redmond:1abd2490609ffab31652791c065fa2da180053b77fe0ed0e7e879460bf549d33",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "masterpiece, high quality, ultra good, this is the good stuff, best prompt ever, portrait of a woman, freckles, ginger",
        "scheduler": "K_EULER",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "apply_watermark": True,
        "negative_prompt": "long torso, tall, bad quality, worst quality, normal quality, elderly, old, granny, 3d, sfm, text, watermark, low-quality, signature, moiré pattern, downsampling, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast",
        "num_inference_steps": 40
    }
)
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 artificialguybr/nebul.redmond 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": "artificialguybr/nebul.redmond:1abd2490609ffab31652791c065fa2da180053b77fe0ed0e7e879460bf549d33",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "masterpiece, high quality, ultra good, this is the good stuff, best prompt ever, portrait of a woman, freckles, ginger",
      "scheduler": "K_EULER",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "apply_watermark": true,
      "negative_prompt": "long torso, tall, bad quality, worst quality, normal quality, elderly, old, granny, 3d, sfm, text, watermark, low-quality, signature, moiré pattern, downsampling, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast",
      "num_inference_steps": 40
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-01-22T17:46:01.447925Z",
  "created_at": "2024-01-22T17:41:41.350152Z",
  "data_removed": false,
  "error": null,
  "id": "bk3enbdbcfyahlsq3ntcooxsau",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "masterpiece, high quality, ultra good, this is the good stuff, best prompt ever, portrait of a woman, freckles, ginger",
    "scheduler": "K_EULER",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "negative_prompt": "long torso, tall, bad quality, worst quality, normal quality, elderly, old, granny, 3d, sfm, text, watermark, low-quality, signature, moiré pattern, downsampling, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast",
    "num_inference_steps": 40
  },
  "logs": "Using seed: 8443097\nThe config attributes {'sigma_max': None, 'sigma_min': None, 'timestep_type': 'discrete'} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\n  0%|          | 0/40 [00:00<?, ?it/s]\n  2%|▎         | 1/40 [00:00<00:20,  1.89it/s]\n  5%|▌         | 2/40 [00:00<00:12,  2.97it/s]\n  8%|▊         | 3/40 [00:00<00:10,  3.63it/s]\n 10%|█         | 4/40 [00:01<00:08,  4.04it/s]\n 12%|█▎        | 5/40 [00:01<00:08,  4.31it/s]\n 15%|█▌        | 6/40 [00:01<00:07,  4.49it/s]\n 18%|█▊        | 7/40 [00:01<00:07,  4.61it/s]\n 20%|██        | 8/40 [00:01<00:06,  4.69it/s]\n 22%|██▎       | 9/40 [00:02<00:06,  4.75it/s]\n 25%|██▌       | 10/40 [00:02<00:06,  4.79it/s]\n 28%|██▊       | 11/40 [00:02<00:06,  4.81it/s]\n 30%|███       | 12/40 [00:02<00:05,  4.83it/s]\n 32%|███▎      | 13/40 [00:02<00:05,  4.84it/s]\n 35%|███▌      | 14/40 [00:03<00:05,  4.86it/s]\n 38%|███▊      | 15/40 [00:03<00:05,  4.87it/s]\n 40%|████      | 16/40 [00:03<00:04,  4.88it/s]\n 42%|████▎     | 17/40 [00:03<00:04,  4.88it/s]\n 45%|████▌     | 18/40 [00:04<00:04,  4.89it/s]\n 48%|████▊     | 19/40 [00:04<00:04,  4.90it/s]\n 50%|█████     | 20/40 [00:04<00:04,  4.91it/s]\n 52%|█████▎    | 21/40 [00:04<00:03,  4.91it/s]\n 55%|█████▌    | 22/40 [00:04<00:03,  4.90it/s]\n 57%|█████▊    | 23/40 [00:05<00:03,  4.90it/s]\n 60%|██████    | 24/40 [00:05<00:03,  4.91it/s]\n 62%|██████▎   | 25/40 [00:05<00:03,  4.91it/s]\n 65%|██████▌   | 26/40 [00:05<00:02,  4.91it/s]\n 68%|██████▊   | 27/40 [00:05<00:02,  4.91it/s]\n 70%|███████   | 28/40 [00:06<00:02,  4.90it/s]\n 72%|███████▎  | 29/40 [00:06<00:02,  4.91it/s]\n 75%|███████▌  | 30/40 [00:06<00:02,  4.91it/s]\n 78%|███████▊  | 31/40 [00:06<00:01,  4.91it/s]\n 80%|████████  | 32/40 [00:06<00:01,  4.91it/s]\n 82%|████████▎ | 33/40 [00:07<00:01,  4.90it/s]\n 85%|████████▌ | 34/40 [00:07<00:01,  4.90it/s]\n 88%|████████▊ | 35/40 [00:07<00:01,  4.91it/s]\n 90%|█████████ | 36/40 [00:07<00:00,  4.90it/s]\n 92%|█████████▎| 37/40 [00:07<00:00,  4.90it/s]\n 95%|█████████▌| 38/40 [00:08<00:00,  4.89it/s]\n 98%|█████████▊| 39/40 [00:08<00:00,  4.89it/s]\n100%|██████████| 40/40 [00:08<00:00,  4.89it/s]\n100%|██████████| 40/40 [00:08<00:00,  4.71it/s]",
  "metrics": {
    "predict_time": 11.192198,
    "total_time": 260.097773
  },
  "output": [
    "https://replicate.delivery/pbxt/RekGnfLBwXkQjkgIk7mqxsn41IRtzyV25iZuxQF1k7FYvFPSA/out-0.png"
  ],
  "started_at": "2024-01-22T17:45:50.255727Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/bk3enbdbcfyahlsq3ntcooxsau",
    "cancel": "https://api.replicate.com/v1/predictions/bk3enbdbcfyahlsq3ntcooxsau/cancel"
  },
  "version": "1abd2490609ffab31652791c065fa2da180053b77fe0ed0e7e879460bf549d33"
}

Generated in

11.2 seconds

Tweak itReport

Using seed: 8443097
The config attributes {'sigma_max': None, 'sigma_min': None, 'timestep_type': 'discrete'} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.
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Examples

View more examples

Run time and cost

This model costs approximately $0.027 to run on Replicate, or 37 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 28 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Cog implementation of artificialguybr/NebulRedmond

About

Nebul.Redmond is here!

I’m grateful for the GPU time from Redmond.AI that allowed me to finish this model!

This is a generalist model fine-tuned on SD XL 1.0!

The model has a high capacity to generate realistic, artistic images, cars, people, and a wide variety of themes. It’s a versatile model.

I really hope you like the model and use it.

If you like the model and think it’s worth it, you can make a donation to my Patreon or Ko-fi.

Follow me in my twitter to get acess before for all new models:

@artificialguybr