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fixed printing for start/end_frame

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FizzleDorf
2024-05-24 23:48:36 -04:00
parent a50ae2b8ea
commit 228ed76068
1 changed files with 13 additions and 5 deletions
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BatchFuncs.py
+13 -5
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@@ -178,14 +178,22 @@ def interpolate_prompt_seriesA(animation_prompts, settings:ScheduleSettings):
index_offset = 0
# Evaluate the current and next prompt's expressions
for i in range(settings.start_frame, len(cur_prompt_series)):
for i in range(0, len(cur_prompt_series)):
cur_prompt_series[i] = prepare_batch_promptA(cur_prompt_series[i], settings, i)
nxt_prompt_series[i] = prepare_batch_promptA(nxt_prompt_series[i], settings, i)
if settings.print_output == True:
# Show the to/from prompts with evaluated expressions for transparency.
print("\n", "Max Frames: ", settings.max_frames, "\n", "frame index: ", (settings.start_frame + i), "\n", "Current Prompt: ",
cur_prompt_series[i], "\n", "Next Prompt: ", nxt_prompt_series[i], "\n", "Strength : ",
weight_series[i], "\n")
if(settings.start_frame >= i):
if(settings.end_frame > 0):
if(settings.end_frame > i):
print("\n", "Max Frames: ", settings.max_frames, "\n", "frame index: ", (settings.start_frame + i),
"\n", "Current Prompt: ",
cur_prompt_series[i], "\n", "Next Prompt: ", nxt_prompt_series[i], "\n", "Strength : ",
weight_series[i], "\n")
else:
print("\n", "Max Frames: ", settings.max_frames, "\n", "frame index: ", (settings.start_frame + i), "\n", "Current Prompt: ",
cur_prompt_series[i], "\n", "Next Prompt: ", nxt_prompt_series[i], "\n", "Strength : ",
weight_series[i], "\n")
index_offset = index_offset + 1
# Output methods depending if the prompts are the same or if the current frame is a keyframe.
@@ -299,7 +307,7 @@ def interpolate_prompt_series(animation_prompts, max_frames, start_frame, pre_te
# Output methods depending if the prompts are the same or if the current frame is a keyframe.
# Output methods depend on if the prompts are the same or if the current frame is a keyframe.
# if it is an in-between frame and the prompts differ, composable diffusion will be performed.
return (cur_prompt_series, nxt_prompt_series, weight_series)