Update sampler_explaination.md

2025-05-09 23:19:16 +02:00
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 I recommand to have the code on the side to follow.

+But in short:
+
+Similarily to Heun's method or some other samplers, this sampler uses the last prediction to re-compute a new one.
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+Here it loops and in each iteration uses the distances in between each values to create a new result.
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+The new result is made from a weighted average (or a slerp using the same weights) where the weights are related to the proportions of proximity.
+
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 The fast\_distance\_weights function calculates weights for a batch of tensors based on their pairwise distances in a normalized space.