nodes/wootwootwootwoot-ComfyUI-RK-Sampler
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rossiyareich
2024-07-23 02:53:57 +07:00
parent f568e11e6c
commit 8c2a0f062c
3 changed files with 182 additions and 181 deletions
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README.md
+2 -1
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@@ -168,4 +168,5 @@ Runge-Kutta methods generally have less discretization error than standard diffu
- To use the new solvers, select `adaptive_scipy` as the step size controller.
- No fixed step size controllers are available for wrapped scipy methods.
- These methods do not support parallel IVP solve, meaning the batch elements are processed sequentially.
- Implicit solvers from `scipy.integrate` do not work for sampling diffusion models as the root finding step takes too long, so the implementation for them were skipped.
- Implicit solvers from `scipy.integrate` do not work for sampling diffusion models as the root finding step takes too long, so the implementation for them were skipped.
- The refactors from this update can cause the results to differ from the previous version. This is due to changes in floating point order operations and casting.
workflows/workflow_comfyui_rk_sampler.json
+180 -180
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@@ -1,7 +1,140 @@
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@@ -188,7 +299,7 @@
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@@ -360,32 +386,6 @@
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workflows/workflow_comfyui_rk_sampler.png
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