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image_tune
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run mlscade/image_tune using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"mlscade/image_tune:25ec44751071a0448d93dd9fd9aafa551d99349fc24ee5f26bced9403775f3ac",
input={
"vhs": False,
"blur": 0,
"noise": 0,
"sepia": False,
"glitch": False,
"contrast": 1,
"vignette": 0,
"sharpness": 0,
"brightness": 1,
"flip_image": False,
"saturation": 1,
"tilt_shift": "None",
"temperature": 1,
"ascii_effect": 0,
"auto_contrast": False,
"auto_sharpness": False,
"rotate_degrees": 0,
"black_and_white": False,
"exposure_offset": 0,
"auto_white_balance": False,
"chromatic_aberration": 0,
"auto_color_correction": False
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
No output yet! Press "Submit" to start a prediction.
This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.