fater-ai / icl-glob-v1

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Run fater-ai/icl-glob-v1 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
image
string
The main image to be relighted
prompt
string
A text description guiding the relighting and generation process
appended_prompt
string
best quality
Additional text to be appended to the main prompt, enhancing image quality
negative_prompt
string
lowres, bad anatomy, bad hands, cropped, worst quality
A text description of attributes to avoid in the generated images
width
integer
1024
The width of the generated images in pixels
height
integer
1024
The height of the generated images in pixels
steps
integer
30

Min: 1

Max: 100

The number of diffusion steps to perform during generation (more steps generally improves image quality but increases processing time)
cfg
number
2

Min: 1

Max: 32

Classifier-Free Guidance scale - higher values encourage adherence to prompt, lower values encourage more creative interpretation
highres_scale
number
1.5

Min: 1

Max: 3

The multiplier for the final output resolution relative to the initial latent resolution
highres_denoise
number
0.5

Min: 0.1

Max: 1

Controls the amount of denoising applied when refining the high resolution output (higher = more adherence to the upscaled latent, lower = more creative details added)
lowres_denoise
number
0.9

Min: 0.1

Max: 1

Controls the amount of denoising applied when generating the initial latent from the background image (higher = more adherence to the background, lower = more creative interpretation)
light_source
string (enum)
None

Options:

None, Left Light, Right Light, Top Light, Bottom Light

The type and position of lighting to apply to the initial background latent
seed
integer
A fixed random seed for reproducible results (omit this parameter for a randomized seed)
number_of_images
integer
1

Min: 1

Max: 12

The number of unique images to generate from the given input and settings
output_format
string (enum)
webp

Options:

webp, jpg, png

The image file format of the generated output images
output_quality
integer
100

Max: 100

The image compression quality (for lossy formats like JPEG and WebP). 100 = best quality, 0 = lowest quality.

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"
}