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Update train_util.py

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This commit is contained in:
DKnight54
2025-01-29 19:15:49 +08:00
committed by GitHub
parent 39a375139a
commit 158af8d5dc
1 changed files with 13 additions and 13 deletions
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26
library/train_util.py
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@@ -5512,10 +5512,20 @@ def sample_images_common(
prompt_dict = line_to_prompt_dict(prompt_dict)
prompts[i] = prompt_dict
assert isinstance(prompt_dict, dict)
if '__caption__' in prompts[i].get("prompt") and example_tuple:
while example_tuple[1][idx] == '':
idx = (idx + 1) % len(example_tuple[1])
if idx == 0:
break
prompts[i]["prompt"] = prompt_dict.get("prompt").replace('__caption__', 'example_tuple[1][idx]')
prompts[i]["height"] = example_tuple[0].shape[2] * 8
prompts[i]["width"] = example_tuple[0].shape[3] * 8
prompts[i]["original_lantent"] = example_tuple[0][idx].unsqueeze(0)
idx = (idx + 1) % len(example_tuple[1])
prompts[i]["enum"] = i
prompts[i].pop("subset", None)
# Adds an enumerator to the dict based on prompt position. Used later to name image files. Also cleanup of extra data in original prompt dict.
# Adds an enumerator to the dict based on prompt position. Used later to name image files. Also cleanup of extra data in original prompt dict.
prompt_dict["enum"] = i
prompt_dict.pop("subset", None)
# save random state to restore later
rng_state = torch.get_rng_state()
@@ -5530,16 +5540,6 @@ def sample_images_common(
with torch.no_grad():
idx = 0
for prompt_dict in prompts:
if '__caption__' in prompt_dict.get("prompt") and example_tuple:
while example_tuple[1][idx] == '':
idx = (idx + 1) % len(example_tuple[1])
if idx == 0:
break
prompt_dict["prompt"] = prompt_dict.get("prompt").replace('__caption__', 'example_tuple[1][idx]')
prompt_dict["height"] = example_tuple[0].shape[2] * 8
prompt_dict["width"] = example_tuple[0].shape[3] * 8
prompt_dict["original_lantent"] = example_tuple[0][idx].unsqueeze(0)
idx = (idx + 1) % len(example_tuple[1])
sample_image_inference(
accelerator, args, pipeline, save_dir, prompt_dict, epoch, steps, prompt_replacement, controlnet=controlnet
)