diff --git a/modules/processing_diffusers.py b/modules/processing_diffusers.py
index f8c70e595..47cc2339f 100644
--- a/modules/processing_diffusers.py
+++ b/modules/processing_diffusers.py
@@ -323,7 +323,6 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
 
     p.extra_generation_params['Pipeline'] = shared.sd_model.__class__.__name__
 
-    cross_attention_kwargs={}
     if len(getattr(p, 'init_images', [])) > 0:
         while len(p.init_images) < len(prompts):
             p.init_images.append(p.init_images[-1])
diff --git a/modules/sd_hijack_hypertile.py b/modules/sd_hijack_hypertile.py
index 026a9a8ec..d818a6d30 100644
--- a/modules/sd_hijack_hypertile.py
+++ b/modules/sd_hijack_hypertile.py
@@ -159,7 +159,7 @@ def context_hypertile_unet(p):
     from modules import shared
     if p.sd_model is None or not shared.opts.hypertile_unet_enabled:
         return nullcontext()
-    if shared.opts.cross_attention_optimization == 'Sub-quadratic':
+    if shared.opts.cross_attention_optimization == 'Sub-quadratic' and not shared.cmd_opts.experimental:
         shared.log.warning('Hypertile UNet is not compatible with Sub-quadratic cross-attention optimization')
         return nullcontext()
     unet = getattr(p.sd_model, "unet", None) if shared.backend == shared.Backend.DIFFUSERS else getattr(p.sd_model.model, "diffusion_model", None)
diff --git a/modules/sd_models.py b/modules/sd_models.py
index 967d527ae..4cd2d5cc4 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -1240,7 +1240,7 @@ def apply_token_merging(sd_model, token_merging_ratio=0):
     except Exception:
         pass
     if token_merging_ratio > 0:
-        if shared.opts.hypertile_unet_enabled:
+        if shared.opts.hypertile_unet_enabled and not shared.cmd_opts.experimental:
             shared.log.warning('Token merging not supported with HyperTile for UNet')
             return
         try: