Support LMSDiscreteScheduler in LDMPipeline #891
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This is a small change to support all schedulers such as LMSDiscreteScheduler in LDMPipeline. What's changed ------- * Add the `scale_model_input` function before `step` to ensure correct denoising (L77)
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This looks good to me! @anton-l could you also give it a quick review :-) |
patrickvonplaten
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Oct 20, 2022
anton-l
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Oct 21, 2022
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Great idea @mkshing, thank you!
You'll just need one more modification to make it work with LMS-like schedulers:
latents = torch.randn(
(batch_size, self.unet.in_channels, self.unet.sample_size, self.unet.sample_size),
generator=generator,
)
latents = latents.to(self.device)
+ # scale the initial noise by the standard deviation required by the scheduler
+ latents = latents * self.scheduler.init_noise_sigma Happy to merge your PR after that :)
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@patrickvonplaten @anton-l Thank you for your review! I added 2 lines as #891 (review)! |
anton-l
approved these changes
Oct 21, 2022
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Great PR - thanks @mkshing :-) |
PhaneeshB
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Co-authored-by: Elias Joseph <elias@nod-labs.com>
yoonseokjin
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Dec 25, 2023
* Support LMSDiscreteScheduler in LDMPipeline This is a small change to support all schedulers such as LMSDiscreteScheduler in LDMPipeline. What's changed ------- * Add the `scale_model_input` function before `step` to ensure correct denoising (L77) * Add "scale the initial noise by the standard deviation required by the scheduler" * run `make style` Co-authored-by: Anton Lozhkov <anton@huggingface.co>
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Hi, thank you for such a great repo. This is a small change to support all schedulers such as LMSDiscreteScheduler in LDMPipeline.
What's changed
scale_model_inputfunction beforestepto ensure correct denoising (L77)