fix typo

Signed-off-by: Vladimir Mandic <mandic00@live.com>

modules/res4lyf/TASK.md

@@ -0,0 +1,19 @@
+# RES4LYF SCHEDULERS
+
+- Schedulers codebase is in `modules/res4lyf`  
+  do not modify any other files  
+- Testing notes:  
+  - using `epsilon` prediction type  
+  - using `StableDiffusionXLPipeline` pipeline for text2image  
+  - using `StableDiffusionXLInpaintPipeline` for inpainting and image2image  
+- *ETDRKScheduler, LawsonScheduler, ABNorsettScheduler, RESSinglestepSDEScheduler, PECScheduler*:  
+  produce good outputs under all circumstances  
+- *LinearRKScheduler, LobattoScheduler, RadauIIAScheduler, GaussLegendreScheduler, SpecializedRKScheduler, RungeKuttaScheduler*:  
+  work well for text2image, but then in image2image it produces pure black image  
+- *RESUnifiedScheduler*:  
+  works fine with `rk_type=res_2s` and similar single-step params,  
+  but produces too much noise with `rk_type=res_2m` and similar multi-step params  
+- *DEISMultistepScheduler, RESMultistepScheduler* have the same problem  
+  while *RESSinglestepScheduler* works fine  
+- *CommonSigmaScheduler, LangevinDynamicsScheduler*:  
+  do not work with `epsilon` prediction type, results in pure noise  

modules/sd_samplers_diffusers.py

@@ -305,8 +305,8 @@ samplers_data_diffusers = [
     SamplerData('RES-SDE 2S', lambda model: DiffusionSampler('RES-SDE 2S', RESSinglestepSDEScheduler, model), [], {}),
     SamplerData('RES-SDE 3S', lambda model: DiffusionSampler('RES-SDE 3S', RESSinglestepSDEScheduler, model), [], {}),
     SamplerData('DEIS-Multistep', lambda model: DiffusionSampler('DEIS Multistep', DEISMultistepScheduler, model), [], {}),
-    SamplerData('DEIS-Unified 1S', lambda model: DiffusionSampler('DEIS-Unified 1S', DEISUnifiedScheduler, model), [], {}),
-    SamplerData('DEIS-Unified 2M', lambda model: DiffusionSampler('DEIS-Unified 2M', DEISUnifiedScheduler, model), [], {}),
+    SamplerData('DEIS-Unified 1S', lambda model: DiffusionSampler('DEIS-Unified 1S', RESUnifiedScheduler, model), [], {}),
+    SamplerData('DEIS-Unified 2M', lambda model: DiffusionSampler('DEIS-Unified 2M', RESUnifiedScheduler, model), [], {}),
     SamplerData('Sigmoid Sigma', lambda model: DiffusionSampler('Sigmoid Sigma', CommonSigmaScheduler, model), [], {}),
     SamplerData('Sine Sigma', lambda model: DiffusionSampler('Sine Sigma', CommonSigmaScheduler, model), [], {}),
     SamplerData('Easing Sigma', lambda model: DiffusionSampler('Easing Sigma', CommonSigmaScheduler, model), [], {}),