add CogXDDIM, DDIMParallel, DDPMParallel

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

CHANGELOG.md

@@ -2,16 +2,20 @@
 
 ## Todo
 
-- upstream `torch/rocm` slowdown
-- update `rocm/windows`
+- **rocm/linux**: update to `torch==2.10.0`  
+- **rocm/windows**: update to `torch==2.10.0`  
 
-## Update for 2026-01-25
+## Update for 2026-01-27
 
 - **Features**
   - **caption** tab support for Booru tagger models, thanks @CalamitousFelicitousness  
   - add SmilingWolf WD14/WaifuDiffusion tagger models, thanks @CalamitousFelicitousness  
   - support comments in wildcard files, using `#`  
   - support aliases in metadata skip params, thanks @CalamitousFelicitousness  
+  - ui gallery add manual cache cleanup, thanks @awsr  
+- **Schedulers**  
+  - add *CogXDDIM, DDIMParallel, DDPMParallel*  
+    not originally intended to be a general purpose schedulers, but they work quite nicely and produce good results  
 - **Internal**
   - tagged release history: <https://github.com/vladmandic/sdnext/tags>  
     each major for the past year is now tagged for easier reference  
@@ -20,7 +24,6 @@
     **cuda**: update to `torch==2.10.0`  
     **xpu**: update to `torch==2.10.0`  
     **openvino**: update to `torch==2.10.0` and `openvino==2025.4.1`  
-    **rocm/linux**: update to `torch==2.10.0`  
   - relocate all json data files to `data/` folder  
     existing data files are auto-migrated on startup  
   - further work on type consistency and type checking, thanks @awsr  

extensions-builtin/sd-extension-system-info

@@ -1 +1 @@
-Subproject commit 9942ea11aa7f23e8ad70ab81a4b411aae333081f
+Subproject commit bd33edfd28f95e1366f3169f6faca532098866ad

modules/sd_samplers_diffusers.py

@@ -37,13 +37,17 @@ try:
         PNDMScheduler,
         SASolverScheduler,
         UniPCMultistepScheduler,
+        CogVideoXDDIMScheduler,
+        DDIMParallelScheduler,
+        DDPMParallelScheduler,
+        TCDScheduler,
     )
 except Exception as e:
     shared.log.error(f'Sampler import: version={diffusers.__version__} error: {e}')
     if os.environ.get('SD_SAMPLER_DEBUG', None) is not None:
         errors.display(e, 'Samplers')
 try:
-    from modules.schedulers.scheduler_tcd import TCDScheduler # pylint: disable=ungrouped-imports
+    # from modules.schedulers.scheduler_tcd import TCDScheduler # pylint: disable=ungrouped-imports
     from modules.schedulers.scheduler_tdd import TDDScheduler # pylint: disable=ungrouped-imports
     from modules.schedulers.scheduler_dc import DCSolverMultistepScheduler # pylint: disable=ungrouped-imports
     from modules.schedulers.scheduler_vdm import VDMScheduler # pylint: disable=ungrouped-imports
@@ -117,6 +121,9 @@ config = {
     'KDPM2': { 'use_karras_sigmas': False, 'use_exponential_sigmas': False, 'use_beta_sigmas': False, 'steps_offset': 0, 'timestep_spacing': 'linspace' },
     'KDPM2 a': { 'use_karras_sigmas': False, 'use_exponential_sigmas': False, 'use_beta_sigmas': False, 'steps_offset': 0, 'timestep_spacing': 'linspace' },
     'CMSI': { },
+    'CogX DDIM': { 'beta_schedule': "scaled_linear", 'beta_start': 0.00085, 'beta_end': 0.012, 'set_alpha_to_one': True, 'rescale_betas_zero_snr': False },
+    'DDIM Parallel': {},
+    'DDPM Parallel': {},
 }
 
 samplers_data_diffusers = [
@@ -160,23 +167,26 @@ samplers_data_diffusers = [
     SamplerData('DEIS', lambda model: DiffusionSampler('DEIS', DEISMultistepScheduler, model), [], {}),
     SamplerData('SA Solver', lambda model: DiffusionSampler('SA Solver', SASolverScheduler, model), [], {}),
     SamplerData('DC Solver', lambda model: DiffusionSampler('DC Solver', DCSolverMultistepScheduler, model), [], {}),
-    SamplerData('VDM Solver', lambda model: DiffusionSampler('VDM Solver', VDMScheduler, model), [], {}),
-    SamplerData('BDIA DDIM', lambda model: DiffusionSampler('BDIA DDIM g=0', BDIA_DDIMScheduler, model), [], {}),
 
+    SamplerData('DDPM', lambda model: DiffusionSampler('DDPM', DDPMScheduler, model), [], {}),
+    SamplerData('DDPM Parallel', lambda model: DiffusionSampler('DDPM Parallel', DDPMParallelScheduler, model), [], {}),
+    SamplerData('DDIM Parallel', lambda model: DiffusionSampler('DDIM Parallel', DDIMParallelScheduler, model), [], {}),
     SamplerData('PNDM', lambda model: DiffusionSampler('PNDM', PNDMScheduler, model), [], {}),
     SamplerData('IPNDM', lambda model: DiffusionSampler('IPNDM', IPNDMScheduler, model), [], {}),
-    SamplerData('DDPM', lambda model: DiffusionSampler('DDPM', DDPMScheduler, model), [], {}),
     SamplerData('LMSD', lambda model: DiffusionSampler('LMSD', LMSDiscreteScheduler, model), [], {}),
     SamplerData('KDPM2', lambda model: DiffusionSampler('KDPM2', KDPM2DiscreteScheduler, model), [], {}),
     SamplerData('KDPM2 a', lambda model: DiffusionSampler('KDPM2 a', KDPM2AncestralDiscreteScheduler, model), [], {}),
     SamplerData('CMSI', lambda model: DiffusionSampler('CMSI', CMStochasticIterativeScheduler, model), [], {}),
 
+    SamplerData('VDM Solver', lambda model: DiffusionSampler('VDM Solver', VDMScheduler, model), [], {}),
+    SamplerData('BDIA DDIM', lambda model: DiffusionSampler('BDIA DDIM g=0', BDIA_DDIMScheduler, model), [], {}),
     SamplerData('LCM', lambda model: DiffusionSampler('LCM', LCMScheduler, model), [], {}),
     SamplerData('LCM FlowMatch', lambda model: DiffusionSampler('LCM FlowMatch', FlowMatchLCMScheduler, model), [], {}),
     SamplerData('TCD', lambda model: DiffusionSampler('TCD', TCDScheduler, model), [], {}),
     SamplerData('TDD', lambda model: DiffusionSampler('TDD', TDDScheduler, model), [], {}),
     SamplerData('PeRFlow', lambda model: DiffusionSampler('PeRFlow', PeRFlowScheduler, model), [], {}),
     SamplerData('UFOGen', lambda model: DiffusionSampler('UFOGen', UFOGenScheduler, model), [], {}),
+    SamplerData('CogX DDIM', lambda model: DiffusionSampler('CogX DDIM', CogVideoXDDIMScheduler, model), [], {}),
 
     SamplerData('Same as primary', None, [], {}),
 ]