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okay thanks for the answer, i tested and it seems to be the case. This is sad since snr yields better results than exponential. What i don't understand is the readme explicitly stating snr to be an option and it's also the default if not setting it, this is a little confusing.
snr requires the noise scheduler to have alphas_cumprod but isn't set for FlowMatchEulerDiscreteScheduler. Beyond that I'm not sure what is involved. Maybe the README could be updated to be clearer.
The readme states huber loss is both available for sd3.5 and Flux, but every time i try to train using it i get:
Huber schedule 'snr' is not supported with the current model.
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