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2025-04-27 04:27:15 +02:00
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@@ -20,6 +20,15 @@ Variations:
- The "p" variation uses a comparison with each previous step so to enhance the result. In general things become smoother / less messy.
### Compatibility issue
If any error was to relate to tensors shape, uncomment these two lines in the "presets_to_add.py":
extra_samplers["Distance_fast"] = distance_wrap(resample=3,resample_end=1,cfgpp=False,sharpen=False)
extra_samplers["Distance_fast_n"] = distance_wrap(resample=3,resample_end=1,cfgpp=False,sharpen=False,use_negative=True)
These are basically the same except they don't use a spherical interpolation at the end. The interpolation was made with latent spaces such as those used in Stable Diffusion in mind. These two alternatives use a weighted average instead (the difference is barely noticeable from my testing).
## Comparisons
Examples below are using the beta scheduler. **The amount of steps has been adjusted to match the duration** has this sampler is quite slow, yet requires little amounts of steps.