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Update train_util.py

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This commit is contained in:
DKnight54
2025-01-30 11:00:12 +08:00
committed by GitHub
parent c70ce28585
commit 3decab58da
1 changed files with 7 additions and 1 deletions
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8
library/train_util.py
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@@ -5518,7 +5518,7 @@ def sample_images_common(
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]["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)
@@ -5540,6 +5540,9 @@ def sample_images_common(
# If only one device is available, just use the original prompt list. We don't need to care about the distribution of prompts.
with torch.no_grad():
for prompt_dict in prompts:
if prompt_dict["prompt"] == '__caption__':
logger.info("No training prompts loaded, skipping '__caption__' prompt.")
continue
sample_image_inference(
accelerator, args, pipeline, save_dir, prompt_dict, epoch, steps, prompt_replacement, controlnet=controlnet
)
@@ -5553,6 +5556,9 @@ def sample_images_common(
with torch.no_grad():
with distributed_state.split_between_processes(per_process_prompts) as prompt_dict_lists:
for prompt_dict in prompt_dict_lists[0]:
if prompt_dict["prompt"] == '__caption__':
logger.info("No training prompts loaded, skipping '__caption__' prompt.")
continue
sample_image_inference(
accelerator, args, pipeline, save_dir, prompt_dict, epoch, steps, prompt_replacement, controlnet=controlnet
)