Bump version to 0.1.4

Ensure that q, k, and v dtypes match.

attention_couple.py

@@ -116,8 +116,8 @@ class AttentionCouple:
             masks_uncond = get_masks_from_q(self.negative_positive_masks[0], q_list[0], extra_options["original_shape"])
             masks_cond = get_masks_from_q(self.negative_positive_masks[1], q_list[0], extra_options["original_shape"])
 
-            context_uncond = self.negative_positive_conds[0][0]
-            context_cond = self.negative_positive_conds[1][0]
+            context_uncond = torch.cat([cond for cond in self.negative_positive_conds[0]], dim=0)
+            context_cond = torch.cat([cond for cond in self.negative_positive_conds[1]], dim=0)
             
             k_uncond = module.to_k(context_uncond)
             k_cond = module.to_k(context_cond)
@@ -138,7 +138,13 @@ class AttentionCouple:
                     length = len_neg
 
                 q_target = q_list[i].repeat(length, 1, 1)
-
+                k = torch.cat([k[i].unsqueeze(0).repeat(b,1,1) for i in range(length)], dim=0)
+                v = torch.cat([v[i].unsqueeze(0).repeat(b,1,1) for i in range(length)], dim=0)
+                
+                if k.dtype != q_target.dtype or v.dtype != q_target.dtype:
+                    # Ensure all dtypes match
+                    k = k.to(q_target.dtype)
+                    v = v.to(q_target.dtype)
                 qkv = optimized_attention(q_target, k, v, extra_options["n_heads"])
                 qkv = qkv * masks
                 qkv = qkv.view(length, b, -1, module.heads * module.dim_head).sum(dim=0)

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-comfycouple"
 description = "If you want to draw two different characters together without blending their features, so you could try to check out this custom node."
-version = "0.1.2"
+version = "0.1.4"
 license = "GPL-3.0"
 
 [project.urls]