Fix LTX pipeline class name: use LTXPipeline instead of LTXVideoPipeline

- The correct class name in diffusers is LTXPipeline, not LTXVideoPipeline
- Updated PIPELINE_CLASS_MAP and detect_pipeline_class
- Updated all references throughout the codebase
- This fixes loading models like Muinez/ltxvideo-2b-nsfw

videogen

@@ -581,7 +581,7 @@ PIPELINE_CLASS_MAP = {
     "StableVideoDiffusionPipeline": {"type": "i2v", "default_vram": "~14-18 GB"},
     "WanPipeline": {"type": "video", "default_vram": "~10-24 GB"},
     "I2VGenXLPipeline": {"type": "i2v", "default_vram": "~18-24 GB"},
-    "LTXVideoPipeline": {"type": "i2v", "default_vram": "~12-16 GB"},
+    "LTXPipeline": {"type": "i2v", "default_vram": "~12-16 GB"},
     "AnimateDiffPipeline": {"type": "video", "default_vram": "~10-14 GB"},
     "TextToVideoSDPipeline": {"type": "t2v", "default_vram": "~7-9 GB"},
     "TextToVideoZeroPipeline": {"type": "t2v", "default_vram": "~6-8 GB"},
@@ -941,7 +941,7 @@ def detect_pipeline_class(model_info):
     if "i2vgen" in model_id:
         return "I2VGenXLPipeline"
     if "ltx-video" in model_id or "ltxvideo" in model_id:
-        return "LTXVideoPipeline"
+        return "LTXPipeline"
     if "animatediff" in model_id:
         return "AnimateDiffPipeline"
     if "mochi" in model_id:
@@ -1791,7 +1791,7 @@ def update_all_models(hf_token=None):
             is_nsfw_model = m["is_nsfw"]
             is_known_pipeline = m["pipeline_class"] in ["WanPipeline", "MochiPipeline", "CogVideoXPipeline",
                                                         "StableVideoDiffusionPipeline", "I2VGenXLPipeline",
-                                                        "LTXVideoPipeline", "AnimateDiffPipeline",
+                                                        "LTXPipeline", "AnimateDiffPipeline",
                                                         "TextToVideoSDPipeline", "TextToVideoZeroPipeline",
                                                         "HotshotXLPipeline", "AllegroPipeline",
                                                         "HunyuanDiTPipeline", "OpenSoraPipeline",
@@ -1894,7 +1894,7 @@ def update_all_models(hf_token=None):
             is_nsfw_model = m["is_nsfw"]
             is_known_pipeline = m["pipeline_class"] in ["WanPipeline", "MochiPipeline", "CogVideoXPipeline",
                                                         "StableVideoDiffusionPipeline", "I2VGenXLPipeline",
-                                                        "LTXVideoPipeline", "AnimateDiffPipeline",
+                                                        "LTXPipeline", "AnimateDiffPipeline",
                                                         "TextToVideoSDPipeline", "TextToVideoZeroPipeline",
                                                         "HotshotXLPipeline", "AllegroPipeline",
                                                         "HunyuanDiTPipeline", "OpenSoraPipeline",
@@ -2173,7 +2173,7 @@ def get_pipeline_class(class_name):
     
     # Try alternative names for known pipelines
     alternatives = {
-        "LTXVideoPipeline": ["LTXLatentVideoToVideoPipeline", "LTXImageToVideoPipeline"],
+        "LTXPipeline": ["LTXLatentUpsamplePipeline", "LTXImageToVideoPipeline"],
         "StableVideoDiffusionPipeline": ["StableVideoDiffusionImg2VidPipeline"],
         "CogVideoXPipeline": ["CogVideoXImageToVideoPipeline", "CogVideoXVideoToVideoPipeline"],
         "MochiPipeline": ["Mochi1Pipeline", "MochiVideoPipeline"],
@@ -2430,7 +2430,7 @@ class TimingTracker:
             base_time_per_frame = 2.5  # SVD is relatively fast but still ~25 steps
         elif "CogVideoXPipeline" in model_class:
             base_time_per_frame = 6.0  # CogVideoX 5B is slow
-        elif "LTXVideoPipeline" in model_class or "ltx" in model_id:
+        elif "LTXPipeline" in model_class or "ltx" in model_id:
             base_time_per_frame = 6.0  # LTX is moderate-slow, ~25 steps
         elif "FluxPipeline" in model_class:
             base_time_per_frame = 12.0  # Flux is slow for images (~20-30 steps)
@@ -7320,7 +7320,7 @@ def main(args):
                 print(f"      ... and {len(available_pipelines) - 15} more")
         
         # Provide specific guidance for known pipelines
-        if pipeline_class == "LTXVideoPipeline":
+        if pipeline_class == "LTXPipeline":
             print(f"\n   📦 LTX Video pipelines in diffusers:")
             ltx_pipelines = [name for name in dir(diffusers) if 'LTX' in name]
             if ltx_pipelines:
@@ -7669,7 +7669,7 @@ def main(args):
                 elif "svd" in model_id_lower or "stable-video-diffusion" in model_id_lower:
                     detected_class = "StableVideoDiffusionPipeline"
                 elif "ltx" in model_id_lower:
-                    detected_class = "LTXVideoPipeline"
+                    detected_class = "LTXPipeline"
                 elif "mochi" in model_id_lower:
                     detected_class = "MochiPipeline"
                 elif "cogvideo" in model_id_lower:
@@ -8388,13 +8388,21 @@ def main(args):
                                     BasePipelineClass = None
                                     if "LTX-Video" in base_model or "ltx" in base_model.lower():
                                         try:
-                                            from diffusers import LTXVideoPipeline
-                                            BasePipelineClass = LTXVideoPipeline
+                                            from diffusers import LTXPipeline
+                                            BasePipelineClass = LTXPipeline
                                             if debug:
-                                                print(f"   [DEBUG] Using LTXVideoPipeline for base model")
-                                        except ImportError:
+                                                print(f"   [DEBUG] Using LTXPipeline for base model")
+                                        except ImportError as ie:
+                                            if debug:
+                                                print(f"   [DEBUG] LTXPipeline not available: {ie}")
+                                            # Try alternative names
+                                            try:
+                                                from diffusers import LTXImageToVideoPipeline
+                                                BasePipelineClass = LTXImageToVideoPipeline
                                                 if debug:
-                                                print(f"   [DEBUG] LTXVideoPipeline not available, trying generic")
+                                                    print(f"   [DEBUG] Using LTXImageToVideoPipeline for base model")
+                                            except ImportError:
+                                                pass
                                     elif "Wan" in base_model or "wan" in base_model.lower():
                                         try:
                                             from diffusers import WanPipeline
@@ -8460,8 +8468,13 @@ def main(args):
                                     FallbackPipelineClass = None
                                     if "LTX-Video" in base_model or "ltx" in base_model.lower():
                                         try:
-                                            from diffusers import LTXVideoPipeline
-                                            FallbackPipelineClass = LTXVideoPipeline
+                                            from diffusers import LTXPipeline
+                                            FallbackPipelineClass = LTXPipeline
+                                        except ImportError:
+                                            # Try alternative names
+                                            try:
+                                                from diffusers import LTXImageToVideoPipeline
+                                                FallbackPipelineClass = LTXImageToVideoPipeline
                                             except ImportError:
                                                 pass
                                     elif "Wan" in base_model or "wan" in base_model.lower():