fofr / 3d-juggernaut-lcm

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Run fofr/3d-juggernaut-lcm with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field Type Default value Description
prompt
string
3D Render Style, 3DRenderAF, unreal engine, video game, pixelated, low poly
None
negative_prompt
string
photo, photography, realistic
Things you do not want to see in your image
image
string
An input image
max_width
integer
512
The maximum width of the image
max_height
integer
512
The maximum height of the image
checkpoint
string
juggernaut_reborn.safetensors
The checkpoint to use
output_format
string (enum)
webp

Options:

webp, jpg, png

Format of the output images
output_quality
integer
80

Max: 100

Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.
seed
integer
Set a seed for reproducibility. Random by default.
steps
integer
4
The number of steps to take
cfg
number
1
The CFG
denoise
number
0.65
The denoise
lora
string (enum)
RW_PS1v1.safetensors

Options:

RW_PS1v1.safetensors, artificialguybr/3DRedmond15V-LiberteRedmond-3DRenderStyle-3DRenderAF.safetensors

The lora to use
lora_strength
number
2
The strength of the lora
lcm_lora_strength
number
1.5
The strength of the LCM lora
control_strength
number
0.5
The strength of the control net

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{
  "type": "array",
  "items": {
    "type": "string",
    "format": "uri"
  },
  "title": "Output"
}