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Added --batch_size parameter to generate multiple videos per run without reloading the model.

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Saves a few minutes on reloading the model and having to re-enter the command each time.
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pftq 2025-02-26 06:57:27 -08:00 committed by GitHub
parent 190e928681
commit b15339baa3
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1 changed files with 155 additions and 134 deletions
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generate.py
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@ -187,6 +187,13 @@ def _parse_args():
default=5.0, default=5.0,
help="Classifier free guidance scale.") help="Classifier free guidance scale.")
# 20250226 pftq: batch size to do more videos without reloading the model
parser.add_argument(
"--batch_size",
type=int,
default=1,
help="Number of videos per run without reloading the model again.")
args = parser.parse_args() args = parser.parse_args()
_validate_args(args) _validate_args(args)
@ -270,6 +277,13 @@ def generate(args):
dist.broadcast_object_list(base_seed, src=0) dist.broadcast_object_list(base_seed, src=0)
args.base_seed = base_seed[0] args.base_seed = base_seed[0]
# 20250226 pftq: Do more videos in one batch without reloading the model
for batch_index in range(args.batch_size):
if batch_index > 0:
args.base_seed = random.randint(0, sys.maxsize)
if args.batch_size > 1:
logging.info("Batch size: "+str(args.batch_size)+" | Video #"+str(batch_index+1))
if "t2v" in args.task or "t2i" in args.task: if "t2v" in args.task or "t2i" in args.task:
if args.prompt is None: if args.prompt is None:
args.prompt = EXAMPLE_PROMPT[args.task]["prompt"] args.prompt = EXAMPLE_PROMPT[args.task]["prompt"]
@ -296,6 +310,7 @@ def generate(args):
args.prompt = input_prompt[0] args.prompt = input_prompt[0]
logging.info(f"Extended prompt: {args.prompt}") logging.info(f"Extended prompt: {args.prompt}")
if batch_index == 0: # 20250226 pftq: only load the model once
logging.info("Creating WanT2V pipeline.") logging.info("Creating WanT2V pipeline.")
wan_t2v = wan.WanT2V( wan_t2v = wan.WanT2V(
config=cfg, config=cfg,
@ -353,6 +368,7 @@ def generate(args):
args.prompt = input_prompt[0] args.prompt = input_prompt[0]
logging.info(f"Extended prompt: {args.prompt}") logging.info(f"Extended prompt: {args.prompt}")
if batch_index == 0: # 20250226 pftq: only load the model once
logging.info("Creating WanI2V pipeline.") logging.info("Creating WanI2V pipeline.")
wan_i2v = wan.WanI2V( wan_i2v = wan.WanI2V(
config=cfg, config=cfg,
@ -386,6 +402,11 @@ def generate(args):
suffix = '.png' if "t2i" in args.task else '.mp4' suffix = '.png' if "t2i" in args.task else '.mp4'
args.save_file = f"{args.task}_{args.size}_{args.ulysses_size}_{args.ring_size}_{formatted_prompt}_{formatted_time}" + suffix args.save_file = f"{args.task}_{args.size}_{args.ulysses_size}_{args.ring_size}_{formatted_prompt}_{formatted_time}" + suffix
# 20250226 pftq: if multiple videos per batch, change the filename index
if args.batch_size > 1:
if batch_index == 0: args.save_file = args.save_file.replace(".mp4", "__"+str(batch_index+1)+".mp4")
else: args.save_file = args.save_file.replace("__"+str(batch_index)+".mp4", str(batch_index+1)+".mp4")
if "t2i" in args.task: if "t2i" in args.task:
logging.info(f"Saving generated image to {args.save_file}") logging.info(f"Saving generated image to {args.save_file}")
cache_image( cache_image(