Support hunyuan image distilled model. #9807
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| vec = self.time_in(timestep_embedding(timesteps, 256, time_factor=1.0).to(img.dtype)) | ||
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| if self.time_r_in is not None: | ||
| w = torch.where(transformer_options['sigmas'][0] == transformer_options['sample_sigmas'])[0] # This most likely could be improved |
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Can't you just use torch.isclose() instead of the comparison? Floats can get unreliable in situations like this without tolerance checks.
toxicwind
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Oct 12, 2025
adlerfaulkner
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Oct 16, 2025
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