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Author: tolgacangoz

src/diffusers/models/transformers/transformer_wan_s2v.py

@@ -840,8 +840,6 @@ class WanS2VTransformer3DModel(
             Epsilon value for normalization layers.
         add_img_emb (`bool`, defaults to `False`):
             Whether to use img_emb.
-        image_dim (`int`, *optional*, defaults to `None`):
-            The dimension of image embeddings. Set to `None` for S2V model as it doesn't use image conditioning.
         added_kv_proj_dim (`int`, *optional*, defaults to `None`):
             The number of channels to use for the added key and value projections. If `None`, no projection is used.
         zero_timestep (`bool`, defaults to `True`):
@@ -876,7 +874,6 @@ def __init__(
         cross_attn_norm: bool = True,
         qk_norm: Optional[str] = "rms_norm_across_heads",
         eps: float = 1e-6,
-        image_dim: Optional[int] = None,
         added_kv_proj_dim: Optional[int] = None,
         rope_max_seq_len: int = 1024,
         enable_framepack: bool = True,