[bugfix] Remove duplicate LTX2 ForwardBatch fields

Author: Davids048

fastvideo/pipelines/pipeline_batch_info.py

@@ -79,28 +79,6 @@ class ForwardBatch:
     image_embeds: list[torch.Tensor] = field(default_factory=list)
     pil_image: torch.Tensor | PIL.Image.Image | None = None
     preprocessed_image: torch.Tensor | None = None
-    # LTX-2 image conditioning. Each entry is (path, frame_idx, strength)
-    # — strength 1.0 anchors the latent at frame_idx exactly to the
-    # encoded image; <1.0 mixes denoised content with the conditioning
-    # image. ``ltx2_image_crf`` controls the H.264 CRF re-encode applied
-    # to the image before VAE encoding (matches official LTX-2 quality
-    # adaptation; 0.0 disables the re-encode).
-    ltx2_images: list[tuple[str, int, float]] | None = None
-    ltx2_image_crf: float = 33.0
-    # Stage-specific continuation latents — populated by the streaming
-    # session controller between segments. ``stage1`` is the last latent
-    # from the previous segment's stage-1 denoise (half-res); ``stage2``
-    # is the last latent from the previous segment's stage-2 refine
-    # (full-res). The image-conditioning builder reads whichever the
-    # current pass needs (``base_clean_latent is None`` -> stage1).
-    ltx2_conditioning_latent_stage1: torch.Tensor | None = None
-    ltx2_conditioning_latent_stage2: torch.Tensor | None = None
-    # Video-clip conditioning: list of (frame_paths, frame_idx, strength)
-    # — multi-frame VAE-encoded conditioning so the resulting latent
-    # captures temporal/motion info (used by the streaming server's
-    # mid-roll continuation flow).
-    ltx2_video_conditions: list[tuple[list[str], int, float]] | None = None
-
     # Text inputs
     prompt: str | list[str] | None = None
     negative_prompt: str | list[str] | None = None