update

Author: a-r-r-o-w

src/diffusers/models/transformers/transformer_hunyuan_video_framepack.py

@@ -152,9 +152,19 @@ def __init__(
 
         # 1. Latent and condition embedders
         self.x_embedder = HunyuanVideoPatchEmbed((patch_size_t, patch_size, patch_size), in_channels, inner_dim)
+
+        # Framepack history projection embedder
+        self.clean_x_embedder = None
+        if has_clean_x_embedder:
+            self.clean_x_embedder = HunyuanVideoHistoryPatchEmbed(in_channels, inner_dim)
+
         self.context_embedder = HunyuanVideoTokenRefiner(
             text_embed_dim, num_attention_heads, attention_head_dim, num_layers=num_refiner_layers
         )
+
+        # Framepack image-conditioning embedder
+        self.image_projection = FramepackClipVisionProjection(image_proj_dim, inner_dim) if has_image_proj else None
+
         self.time_text_embed = HunyuanVideoConditionEmbedding(
             inner_dim, pooled_projection_dim, guidance_embeds, image_condition_type
         )
@@ -186,13 +196,6 @@ def __init__(
         self.norm_out = AdaLayerNormContinuous(inner_dim, inner_dim, elementwise_affine=False, eps=1e-6)
         self.proj_out = nn.Linear(inner_dim, patch_size_t * patch_size * patch_size * out_channels)
 
-        # Framepack specific modules
-        self.image_projection = FramepackClipVisionProjection(image_proj_dim, inner_dim) if has_image_proj else None
-
-        self.clean_x_embedder = None
-        if has_clean_x_embedder:
-            self.clean_x_embedder = HunyuanVideoHistoryPatchEmbed(in_channels, inner_dim)
-
         self.use_gradient_checkpointing = False
 
     def forward(