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full codespell coverage

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
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Vladimir Mandic
2026-06-04 12:36:10 +02:00
parent 0bfcdabbbb
commit 5e99dee3c2
103 changed files with 264 additions and 254 deletions
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modules/prompt_parser.py
+1 -1
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@@ -270,7 +270,7 @@ def reconstruct_multicond_batch(c: MulticondLearnedConditioning, current_step):
conds_for_batch.append((len(tensors), composable_prompt.weight))
tensors.append(composable_prompt.schedules[target_index].cond)
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.
# if prompts have wildly different lengths above the limit we'll get tensors of 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: