d3vshoaib / andro-upscaler

A model Flux.1-dev-Controlnet-Upscaler by www.androcoders.in

  • Public
  • 79 runs
  • A100 (80GB)
  • GitHub
  • Weights
  • Paper
  • License
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Playground API Examples README Versions

Input

input_image
*file

Input image to upscale

string
Shift + Return to add a new line

Text prompt to guide the upscaling. Leave empty for default behavior.

Default: ""

number
(minimum: 1, maximum: 20)

Guidance scale for Image adherence

Default: 5

boolean

Applying Color Correction

Default: false

integer
(minimum: 8, maximum: 50)

Number of denoising steps

Default: 28

integer
(minimum: 1, maximum: 4)

Factor by which to upscale the image

Default: 4

number
(minimum: 0.1, maximum: 1.5)

Controlnet conditioning scale

Default: 0.6

integer

Random seed. Leave blank to randomize the seed

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Output

output
Generated in
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This example was created by a different version, d3vshoaib/andro-upscaler:abd1b69c.

Examples

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Run time and cost

This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model was trained with a synthetic complex data degradation scheme taking as input a real-life image and artificially degrading it by combining several degradations such as amongst other image noising (Gaussian, Poisson), image blurring and JPEG compression in a similar spirit as [1]

[1] Wang, Xintao, et al. “Real-esrgan: Training real-world blind super-resolution with pure synthetic data.” Proceedings of the IEEE/CVF international conference on computer vision. 2021.