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Fix qwen controlnet regression. (#10657)

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comfyanonymous 2025-11-05 15:07:35 -08:00 committed by GitHub
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comfy/ldm/qwen_image/controlnet.py
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@ -44,7 +44,7 @@ class QwenImageControlNetModel(QwenImageTransformer2DModel):
txt_start = round(max(((x.shape[-1] + (self.patch_size // 2)) // self.patch_size) // 2, ((x.shape[-2] + (self.patch_size // 2)) // self.patch_size) // 2)) txt_start = round(max(((x.shape[-1] + (self.patch_size // 2)) // self.patch_size) // 2, ((x.shape[-2] + (self.patch_size // 2)) // self.patch_size) // 2))
txt_ids = torch.arange(txt_start, txt_start + context.shape[1], device=x.device).reshape(1, -1, 1).repeat(x.shape[0], 1, 3) txt_ids = torch.arange(txt_start, txt_start + context.shape[1], device=x.device).reshape(1, -1, 1).repeat(x.shape[0], 1, 3)
ids = torch.cat((txt_ids, img_ids), dim=1) ids = torch.cat((txt_ids, img_ids), dim=1)
image_rotary_emb = self.pe_embedder(ids).squeeze(1).unsqueeze(2).to(x.dtype) image_rotary_emb = self.pe_embedder(ids).to(x.dtype).contiguous()
del ids, txt_ids, img_ids del ids, txt_ids, img_ids
hidden_states = self.img_in(hidden_states) + self.controlnet_x_embedder(hint) hidden_states = self.img_in(hidden_states) + self.controlnet_x_embedder(hint)