goodguy1963 / good-sdxl-models-plus-loras

BROKEN - DO NOT USE!

Cold

Public
184 runs
L40S
Weights

Run with an API

Playground API Examples README Versions

Input

seed

integer

Random seed. Leave blank to randomize the seed

Including prompt and 13 more...

prompt

string

Shift + Return to add a new line

Input prompt

negative_prompt

string

Shift + Return to add a new line

worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feetworst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet

Specify things to not see in the output

Default: "worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet"

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: 768

height

integer

Height of output image

Default: 768

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 30

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image

Default: 0.8

model_name

string

Choose which model to use

Default: "realvisxl_v50_sg161222"

lora_selection

string

Select a LoRA or LoRA combination to apply

Default: "none"

lora_weight

number

(minimum: 0.5, maximum: 3)

LoRA weight (higher values increase effect strength)

Default: 0.8

sampler

string

Choose a sampler

Default: "DPMSolverMultistep"

scheduler_type

string

Choose a scheduler type

Default: "default"

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

npx create-replicate --model=goodguy1963/good-sdxl-models-plus-loras

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";

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

Run goodguy1963/good-sdxl-models-plus-loras using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "goodguy1963/good-sdxl-models-plus-loras:e0d304fdec5f0f693fd6d4906a3ddce96d1a52c9d6c5759215cea926bea3df35",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "magical Castel",
      sampler: "DPMPP_2M",
      model_name: "cyberrealistic_xl_cyberdelia",
      lora_weight: 0.8,
      guidance_scale: 7.5,
      lora_selection: "none",
      scheduler_type: "karras",
      negative_prompt: "worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet",
      prompt_strength: 0.8,
      num_inference_steps: 30
    }
  }
);
console.log(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 goodguy1963/good-sdxl-models-plus-loras using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "goodguy1963/good-sdxl-models-plus-loras:e0d304fdec5f0f693fd6d4906a3ddce96d1a52c9d6c5759215cea926bea3df35",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "magical Castel",
        "sampler": "DPMPP_2M",
        "model_name": "cyberrealistic_xl_cyberdelia",
        "lora_weight": 0.8,
        "guidance_scale": 7.5,
        "lora_selection": "none",
        "scheduler_type": "karras",
        "negative_prompt": "worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet",
        "prompt_strength": 0.8,
        "num_inference_steps": 30
    }
)
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 goodguy1963/good-sdxl-models-plus-loras 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": "e0d304fdec5f0f693fd6d4906a3ddce96d1a52c9d6c5759215cea926bea3df35",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "magical Castel",
      "sampler": "DPMPP_2M",
      "model_name": "cyberrealistic_xl_cyberdelia",
      "lora_weight": 0.8,
      "guidance_scale": 7.5,
      "lora_selection": "none",
      "scheduler_type": "karras",
      "negative_prompt": "worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet",
      "prompt_strength": 0.8,
      "num_inference_steps": 30
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-03-23T19:29:18.298147Z",
  "created_at": "2025-03-23T19:28:35.021000Z",
  "data_removed": false,
  "error": null,
  "id": "jqeyntvpsnrma0cnrhx9z208vg",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "magical Castel",
    "sampler": "DPMPP_2M",
    "model_name": "cyberrealistic_xl_cyberdelia",
    "lora_weight": 0.8,
    "guidance_scale": 7.5,
    "lora_selection": "none",
    "scheduler_type": "karras",
    "negative_prompt": "worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet",
    "prompt_strength": 0.8,
    "num_inference_steps": 30
  },
  "logs": "Running prediction...\nUsing seed: 8420\nClearing CUDA cache before prediction\nLoading model: CyberRealistic XL by Cyberdelia\nLooking for model at: /src/model/cyberrealisticXL_v5.safetensors\nModel file not found at /src/model/cyberrealisticXL_v5.safetensors or too small. Attempting to download...\nRunning: python /src/script/download-weights --model cyberrealistic_xl_cyberdelia\nMODEL_PATH: model\nCurrent directory: /src\nFiles in MODEL_PATH:\n- realvisxlV50_v50Bakedvae.safetensors (13232.98 MB)\n- realDream_sdxl5.safetensors (6616.99 MB)\nChecking if model file exists at: model/cyberrealisticXL_v5.safetensors\nDownloading requested model 'cyberrealistic_xl_cyberdelia' to model/cyberrealisticXL_v5.safetensors...\nDownloading from https://huggingface.co/hofixD/good-sdxl-models-plus-loras/resolve/main/model/cyberrealisticXL_v5.safetensors (Attempt 1/3)\nmodel/cyberrealisticXL_v5.safetensors:   0%|          | 0.00/6.46G [00:00<?, ?iB/s]\nmodel/cyberrealisticXL_v5.safetensors:   0%|          | 22.5M/6.46G [00:00<00:29, 236MiB/s]\nmodel/cyberrealisticXL_v5.safetensors:   1%|          | 45.0M/6.46G [00:00<00:33, 206MiB/s]\nmodel/cyberrealisticXL_v5.safetensors:   1%|          | 67.3M/6.46G [00:00<00:31, 218MiB/s]\nmodel/cyberrealisticXL_v5.safetensors:   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model/cyberrealisticXL_v5.safetensors (6616.63 MB)\nSuccessfully downloaded model (6616.63 MB)\nSuccessfully downloaded model to /src/model/cyberrealisticXL_v5.safetensors (6616.63 MB)\nLoading from /src/model/cyberrealisticXL_v5.safetensors\nLoading components with memory optimizations...\nModel loaded with memory optimizations\nUsing DPMPP_2M sampler with default configuration\nNo LoRAs selected\nRunning txt2img...\nEnabling attention slicing for high resolution generation\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:04,  6.26it/s]\n  7%|▋         | 2/30 [00:00<00:04,  6.21it/s]\n 10%|█         | 3/30 [00:00<00:04,  6.20it/s]\n 13%|█▎        | 4/30 [00:00<00:04,  6.19it/s]\n 17%|█▋        | 5/30 [00:00<00:04,  6.19it/s]\n 20%|██        | 6/30 [00:00<00:03,  6.19it/s]\n 23%|██▎       | 7/30 [00:01<00:03,  6.18it/s]\n 27%|██▋       | 8/30 [00:01<00:03,  6.18it/s]\n 30%|███       | 9/30 [00:01<00:03,  6.17it/s]\n 33%|███▎      | 10/30 [00:01<00:03,  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6.17it/s]\n100%|██████████| 30/30 [00:04<00:00,  6.17it/s]",
  "metrics": {
    "predict_time": 43.265014073,
    "total_time": 43.277147
  },
  "output": "https://replicate.delivery/xezq/huXeGcwUpmzvb6JfOHiBrA33vYjeC13EXuVD6rTvss6cYC3oA/output.png",
  "started_at": "2025-03-23T19:28:35.033133Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-byqybt2ma5e5lpf6y3cpjlc46557ohnp2bpborvdx3ybzbnk3jzq",
    "get": "https://api.replicate.com/v1/predictions/jqeyntvpsnrma0cnrhx9z208vg",
    "cancel": "https://api.replicate.com/v1/predictions/jqeyntvpsnrma0cnrhx9z208vg/cancel"
  },
  "version": "2ae06df1ebf95690d8943545cdefe5017f574d6c286730b3be021b47a07b5b94"
}

Generated in

43.3 seconds

Tweak it ShareReport

Running prediction...
Using seed: 8420
Clearing CUDA cache before prediction
Loading model: CyberRealistic XL by Cyberdelia
Looking for model at: /src/model/cyberrealisticXL_v5.safetensors
Model file not found at /src/model/cyberrealisticXL_v5.safetensors or too small. Attempting to download...
Running: python /src/script/download-weights --model cyberrealistic_xl_cyberdelia
MODEL_PATH: model
Current directory: /src
Files in MODEL_PATH:
- realvisxlV50_v50Bakedvae.safetensors (13232.98 MB)
- realDream_sdxl5.safetensors (6616.99 MB)
Checking if model file exists at: model/cyberrealisticXL_v5.safetensors
Downloading requested model 'cyberrealistic_xl_cyberdelia' to model/cyberrealisticXL_v5.safetensors...
Downloading from https://huggingface.co/hofixD/good-sdxl-models-plus-loras/resolve/main/model/cyberrealisticXL_v5.safetensors (Attempt 1/3)
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Successfully downloaded model/cyberrealisticXL_v5.safetensors (6616.63 MB)
Successfully downloaded model (6616.63 MB)
Successfully downloaded model to /src/model/cyberrealisticXL_v5.safetensors (6616.63 MB)
Loading from /src/model/cyberrealisticXL_v5.safetensors
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This example was created by a different version, goodguy1963/good-sdxl-models-plus-loras:2ae06df1.

Examples

View more examples

Run time and cost

This model costs approximately $0.0079 to run on Replicate, or 126 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 9 seconds. The predict time for this model varies significantly based on the inputs.

Readme

SDXL Model Collection for Replicate

This repository contains a collection of high-quality SDXL models and LoRAs for image generation, optimized for deployment on Replicate.

Models Included

RealVisXL V5.0 by SG_161222
Real Dream (SDXL 5) by sinatra
AlbedoBase XL (3.1-Large)
Realism Engine SDXL by razzz
CyberRealistic XL by Cyberdelia

LoRAs Included

Detail Tweaker XL (1.0) by w4r10ck
Extremely Detailed (no trigger) by ntc
DetailedEyes XL (3.0) by bdsqlsz

Model Sources

All models and LoRAs are hosted on Hugging Face at: https://huggingface.co/hofixD/good-sdxl-models-plus-loras

Setup and Usage

The models and LoRAs will be automatically downloaded when building the container or can be manually downloaded using:

python script/download-weights

System Requirements

CUDA-capable GPU with at least 12GB VRAM
Python 3.11
See requirements.txt for Python package dependencies

Features

Text-to-Image Generation
Image-to-Image Processing
Inpainting
Multiple Sampling Methods
LoRA Support
Resolution Control
Seed Control for Reproducibility

Parameters

prompt: Input prompt for image generation
negative_prompt: Things to avoid in the generated image
image: Input image for img2img or inpainting
mask: Mask image for inpainting
width: Output image width (128-2048)
height: Output image height (128-2048)
num_inference_steps: Number of denoising steps (1-500)
guidance_scale: Scale for classifier-free guidance (1-20)
prompt_strength: Strength of prompt when using init image (0-1)
model_name: Choose from available SDXL models
lora_selection: Available LoRA options
lora_weight: LoRA effect strength (0.5-3.0)
sampler: Choice of different sampling methods
scheduler_type: Type of scheduler to use
seed: Random seed for reproducibility

Credits

Thanks to all model creators for their amazing work: - SG_161222 (RealVisXL) - sinatra (Real Dream) - AlbedoBase Team - razzz (Realism Engine) - Cyberdelia (CyberRealistic) - w4r10ck (Detail Tweaker XL) - ntc/sliders.ntcai.xyz (Extremely Detailed) - bdsqlsz (DetailedEyes)