fix AND broken for long prompts

1 files changed, 9 insertions, 0 deletions

diff --git a/modules/prompt_parser.py b/modules/prompt_parser.py
index f00256f2..15666073 100644
--- a/modules/prompt_parser.py
+++ b/modules/prompt_parser.py
@@ -239,6 +239,15 @@ def reconstruct_multicond_batch(c: MulticondLearnedConditioning, current_step):
 

         conds_list.append(conds_for_batch)

 

+    # if prompts have wildly different lengths above the limit we'll get tensors fo different shapes

+    # and won't be able to torch.stack them. So this fixes that.

+    token_count = max([x.shape[0] for x in tensors])

+    for i in range(len(tensors)):

+        if tensors[i].shape[0] != token_count:

+            last_vector = tensors[i][-1:]

+            last_vector_repeated = last_vector.repeat([token_count - tensors[i].shape[0], 1])

+            tensors[i] = torch.vstack([tensors[i], last_vector_repeated])

+

     return conds_list, torch.stack(tensors).to(device=param.device, dtype=param.dtype)