NPU Adaption for Sanna

Author: J石页

src/diffusers/models/transformers/sana_transformer.py

@@ -257,14 +257,14 @@ def __init__(
         inner_dim = num_attention_heads * attention_head_dim
 
         # 1. Patch Embedding
-        interpolation_scale = interpolation_scale if interpolation_scale is not None else max(sample_size // 64, 1)
         self.patch_embed = PatchEmbed(
             height=sample_size,
             width=sample_size,
             patch_size=patch_size,
             in_channels=in_channels,
             embed_dim=inner_dim,
             interpolation_scale=interpolation_scale,
+            pos_embed_type="sincos" if interpolation_scale is not None else None,
         )
 
         # 2. Additional condition embeddings