[PNDM] Stable diffusion #186
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The documentation is not available anymore as the PR was closed or merged. |
| @@ -56,6 +56,7 @@ def __init__( | |||
| beta_end=0.02, | |||
| beta_schedule="linear", | |||
| tensor_format="pt", | |||
| skip_prk_steps=False, | |||
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This should default to True for all stable diffusion models
anton-l
approved these changes
Aug 16, 2022
Comment on lines
+206
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| elif len(self.ets) == 3: | ||
| model_output = (23 * self.ets[-1] - 16 * self.ets[-2] + 5 * self.ets[-3]) / 12 | ||
| else: | ||
| model_output = (1 / 24) * (55 * self.ets[-1] - 59 * self.ets[-2] + 37 * self.ets[-3] - 9 * self.ets[-4]) |
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Now it looks much more familiar :D
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Tests are passing - merging now! |
PhaneeshB
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to nod-ai/diffusers
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Mar 1, 2023
Make PyTorch model tests importer-independent and add benchmarks.
yoonseokjin
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to yoonseokjin/diffusers
that referenced
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Dec 25, 2023
* [PNDM] Stable diffusino * finish
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This PR allows to use the PNDM scheduler without the prk steps so that it matches 1-to-1 @crowsonkb implementation as shown here.
As soon as a new diffusers version is released, we have to add a flag "skip_prk_ steps" to all stable diffusion configs.