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With Kohya scripts, I use --alpha_masks argument to ignore masked areas, mostly watermarks or unwanted parts of the image that I don't want the training to focus on.
I would like to know if this feature is present (For HunyuanVideo training on diffusion-pipe), if it needs special configuration or if it's natively supported, Thank you
The text was updated successfully, but these errors were encountered:
Okay, so the alpha masks will either be ignored as if they aren't there or treated as black areas, resulting in black squares or shapes during inference? Thank you for your time
I'm not sure how this feature works in Kohya sd-scripts. Are the masks separate? Or is it part of the image itself as an alpha channel? For diffusion-pipe if an image has alpha channel, the transparent parts are converted to white (as usually that is the background). But they are not masked in the loss function.
With Kohya scripts, I use --alpha_masks argument to ignore masked areas, mostly watermarks or unwanted parts of the image that I don't want the training to focus on.
I would like to know if this feature is present (For HunyuanVideo training on diffusion-pipe), if it needs special configuration or if it's natively supported, Thank you
The text was updated successfully, but these errors were encountered: