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update process tasks function

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marksverdhei 2025-08-20 09:51:01 +02:00
parent 63351d419a
commit 61ff48d729
1 changed files with 9 additions and 7 deletions
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14
wgp.py
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@ -4884,6 +4884,7 @@ def generate_preview(model_type, latents):
def process_tasks(state):
from shared.utils.thread_utils import AsyncStream, async_run
abort = False
gen = get_gen_info(state)
queue = gen.get("queue", [])
@ -4919,8 +4920,11 @@ def process_tasks(state):
gen["status"] = "Generating Video"
# yield time.time(), time.time()
start_time = time.time()
prompt_no = 0
while len(queue) > 0:
start_time = time.time()
prompt_no += 1
gen["prompt_no"] = prompt_no
task = queue[0]
@ -4959,15 +4963,15 @@ def process_tasks(state):
gen["status"] = data
elif cmd == "output":
gen["preview"] = None
# yield time.time() , time.time()
elif cmd == "progress":
gen["progress_args"] = data
# progress(*data)
if progress is not None:
progress(*data)
elif cmd == "preview":
torch.cuda.current_stream().synchronize()
preview= None if data== None else generate_preview(params["model_type"], data)
preview = None if data== None else generate_preview(params["model_type"], data)
gen["preview"] = preview
# yield time.time() , gr.Text()
# return time.time(), gr.Text()
else:
raise Exception(f"unknown command {cmd}")
@ -4985,10 +4989,8 @@ def process_tasks(state):
gen["prompt"] = ""
end_time = time.time()
if abort:
# status = f"Video generation was aborted. Total Generation Time: {end_time-start_time:.1f}s"
status = f"Video generation was aborted. Total Generation Time: {format_time(end_time-start_time)}"
else:
# status = f"Total Generation Time: {end_time-start_time:.1f}s"
status = f"Total Generation Time: {format_time(end_time-start_time)}"
# Play notification sound when video generation completed successfully
try: