handle torchsde

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

CHANGELOG.md

@@ -11,6 +11,7 @@ and improves general video processing with flexible video upscaling, updated int
 - New [group offload](https://vladmandic.github.io/sdnext-docs/Offload/#group) option which is more aggressive than the default balanced offload
 - Extended model support for [Nunchaku-Lite](https://github.com/rootonchair/nunchaku-lite) engine
 - A lot of [SDNQ](https://github.com/Disty0/sdnq) *quantization and attention* optimizations and features
+- Updated [SD.Next Launcher](https://github.com/vladmandic/sdnext-launcher)
 
 Plus quite a lot more, see full [changelog](https://github.com/vladmandic/automatic/blob/dev/CHANGELOG.md) for details!
 
@@ -113,6 +114,7 @@ Plus quite a lot more, see full [changelog](https://github.com/vladmandic/automa
   - api: process
   - api: auth via remote-ip
   - krea2: fallback to base pipeline/transformer for nunchaku-lite
+  - torchsde: handle obsolete dependency
 
 ## Update for 2026-08-07
 

modules/sd_samplers_diffusers.py

@@ -3,6 +3,7 @@ import re
 import copy
 import inspect
 import diffusers
+from installer import install
 from modules import shared, errors
 from modules.logger import log
 from modules.sd_hijack_schedulers import init_hijack, hijack_unipc, attach_scale_noise_if_missing # pylint: disable=unused-import
@@ -20,13 +21,11 @@ hijack_unipc()
 try:
     from diffusers import (
         CMStochasticIterativeScheduler,
-        CosineDPMSolverMultistepScheduler,
         DDIMScheduler,
         DDPMScheduler,
         DEISMultistepScheduler,
         DPMSolverMultistepInverseScheduler,
         DPMSolverMultistepScheduler,
-        DPMSolverSDEScheduler,
         DPMSolverSinglestepScheduler,
         EDMDPMSolverMultistepScheduler,
         EDMEulerScheduler,
@@ -54,6 +53,20 @@ except Exception as e:
     if os.environ.get('SD_SAMPLER_DEBUG', None) is not None:
         errors.display(e, 'Samplers')
 
+try:
+    install('trampoline==0.1.2', 'trampoline', quiet=True, no_deps=True)
+    install('torchsde==0.2.6', 'torchsde', quiet=True, no_deps=True)
+    from diffusers import (
+        DPMSolverSDEScheduler,
+        CosineDPMSolverMultistepScheduler,
+    )
+except Exception as e:
+    DPMSolverSDEScheduler = None
+    CosineDPMSolverMultistepScheduler = None
+    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')
+
 # SD.Next Schedulers
 try:
     # from modules.schedulers.scheduler_tcd import TCDScheduler # pylint: disable=ungrouped-imports