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resolved Ruff lint errors
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@ -2,7 +2,6 @@
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import torch
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import torch.nn as nn
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import torch.nn.functional as F
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import math
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import logging
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from typing import Optional, Tuple
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from einops import repeat, rearrange
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@ -336,7 +335,6 @@ class QwenImageTransformer2DModel(nn.Module):
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self.inner_dim = num_attention_heads * attention_head_dim
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self.pe_embedder = EmbedND(dim=attention_head_dim, theta=10000, axes_dim=list(axes_dims_rope))
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self.time_text_embed = QwenTimestepProjEmbeddings(
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embedding_dim=self.inner_dim,
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pooled_projection_dim=pooled_projection_dim,
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@ -560,8 +558,8 @@ class QwenImageTransformer2DModel(nn.Module):
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# Positive gets entity constraints, negative gets standard attention (all zeros)
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logger.debug(
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f"[EliGen Model] CFG batched detected - creating separate masks. "
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f"Positive (index 0) gets entity mask, Negative (index 1) gets standard mask"
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"[EliGen Model] CFG batched detected - creating separate masks. "
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"Positive (index 0) gets entity mask, Negative (index 1) gets standard mask"
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)
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# Create standard attention mask (all zeros = no constraints)
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