Improve comment on using the conditioning mask in denoising loop

src/diffusers/__init__.py

@@ -554,6 +554,7 @@ else:
             "LEditsPPPipelineStableDiffusionXL",
             "LongCatImageEditPipeline",
             "LongCatImagePipeline",
+            "LTX2ConditionPipeline",
             "LTX2ImageToVideoPipeline",
             "LTX2LatentUpsamplePipeline",
             "LTX2Pipeline",
@@ -1288,6 +1289,7 @@ if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
             LEditsPPPipelineStableDiffusionXL,
             LongCatImageEditPipeline,
             LongCatImagePipeline,
+            LTX2ConditionPipeline,
             LTX2ImageToVideoPipeline,
             LTX2LatentUpsamplePipeline,
             LTX2Pipeline,

src/diffusers/pipelines/__init__.py

@@ -291,7 +291,12 @@ else:
         "LTXLatentUpsamplePipeline",
         "LTXI2VLongMultiPromptPipeline",
     ]
-    _import_structure["ltx2"] = ["LTX2Pipeline", "LTX2ImageToVideoPipeline", "LTX2LatentUpsamplePipeline"]
+    _import_structure["ltx2"] = [
+        "LTX2Pipeline",
+        "LTX2ConditionPipeline",
+        "LTX2ImageToVideoPipeline",
+        "LTX2LatentUpsamplePipeline",
+    ]
     _import_structure["lumina"] = ["LuminaPipeline", "LuminaText2ImgPipeline"]
     _import_structure["lumina2"] = ["Lumina2Pipeline", "Lumina2Text2ImgPipeline"]
     _import_structure["lucy"] = ["LucyEditPipeline"]
@@ -742,7 +747,7 @@ if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
             LTXLatentUpsamplePipeline,
             LTXPipeline,
         )
-        from .ltx2 import LTX2ImageToVideoPipeline, LTX2LatentUpsamplePipeline, LTX2Pipeline
+        from .ltx2 import LTX2ConditionPipeline, LTX2ImageToVideoPipeline, LTX2LatentUpsamplePipeline, LTX2Pipeline
         from .lucy import LucyEditPipeline
         from .lumina import LuminaPipeline, LuminaText2ImgPipeline
         from .lumina2 import Lumina2Pipeline, Lumina2Text2ImgPipeline

src/diffusers/pipelines/ltx2/__init__.py

@@ -25,6 +25,7 @@ else:
     _import_structure["connectors"] = ["LTX2TextConnectors"]
     _import_structure["latent_upsampler"] = ["LTX2LatentUpsamplerModel"]
     _import_structure["pipeline_ltx2"] = ["LTX2Pipeline"]
+    _import_structure["pipeline_ltx2_condition"] = ["LTX2ConditionPipeline"]
     _import_structure["pipeline_ltx2_image2video"] = ["LTX2ImageToVideoPipeline"]
     _import_structure["pipeline_ltx2_latent_upsample"] = ["LTX2LatentUpsamplePipeline"]
     _import_structure["vocoder"] = ["LTX2Vocoder"]
@@ -40,6 +41,7 @@ if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
         from .connectors import LTX2TextConnectors
         from .latent_upsampler import LTX2LatentUpsamplerModel
         from .pipeline_ltx2 import LTX2Pipeline
+        from .pipeline_ltx2_condition import LTX2ConditionPipeline
         from .pipeline_ltx2_image2video import LTX2ImageToVideoPipeline
         from .pipeline_ltx2_latent_upsample import LTX2LatentUpsamplePipeline
         from .vocoder import LTX2Vocoder

src/diffusers/utils/dummy_torch_and_transformers_objects.py

@@ -2012,6 +2012,21 @@ class LongCatImagePipeline(metaclass=DummyObject):
         requires_backends(cls, ["torch", "transformers"])
 
 
+class LTX2ConditionPipeline(metaclass=DummyObject):
+    _backends = ["torch", "transformers"]
+
+    def __init__(self, *args, **kwargs):
+        requires_backends(self, ["torch", "transformers"])
+
+    @classmethod
+    def from_config(cls, *args, **kwargs):
+        requires_backends(cls, ["torch", "transformers"])
+
+    @classmethod
+    def from_pretrained(cls, *args, **kwargs):
+        requires_backends(cls, ["torch", "transformers"])
+
+
 class LTX2ImageToVideoPipeline(metaclass=DummyObject):
     _backends = ["torch", "transformers"]