mrleo1nid/ACE-Step
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mrfakename
2025-05-06 18:59:32 -07:00
parent 54da683d36
commit a5746eaab6
36 changed files with 2928 additions and 1251 deletions
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infer.py
+69 -60
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@@ -1,4 +1,5 @@
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--checkpoint_path", type=str, default="")
parser.add_argument("--bf16", type=bool, default=True)
@@ -11,38 +12,43 @@ import os
os.environ["CUDA_VISIBLE_DEVICES"] = str(args.device_id)
from pipeline_ace_step import ACEStepPipeline
from data_sampler import DataSampler
from acestep.pipeline_ace_step import ACEStepPipeline
from acestep.data_sampler import DataSampler
def sample_data(json_data):
return (
json_data["audio_duration"],
json_data["prompt"],
json_data["lyrics"],
json_data["infer_step"],
json_data["guidance_scale"],
json_data["scheduler_type"],
json_data["cfg_type"],
json_data["omega_scale"],
", ".join(map(str, json_data["actual_seeds"])),
json_data["guidance_interval"],
json_data["guidance_interval_decay"],
json_data["min_guidance_scale"],
json_data["use_erg_tag"],
json_data["use_erg_lyric"],
json_data["use_erg_diffusion"],
", ".join(map(str, json_data["oss_steps"])),
json_data["guidance_scale_text"] if "guidance_scale_text" in json_data else 0.0,
json_data["guidance_scale_lyric"] if "guidance_scale_lyric" in json_data else 0.0,
)
json_data["audio_duration"],
json_data["prompt"],
json_data["lyrics"],
json_data["infer_step"],
json_data["guidance_scale"],
json_data["scheduler_type"],
json_data["cfg_type"],
json_data["omega_scale"],
", ".join(map(str, json_data["actual_seeds"])),
json_data["guidance_interval"],
json_data["guidance_interval_decay"],
json_data["min_guidance_scale"],
json_data["use_erg_tag"],
json_data["use_erg_lyric"],
json_data["use_erg_diffusion"],
", ".join(map(str, json_data["oss_steps"])),
json_data["guidance_scale_text"] if "guidance_scale_text" in json_data else 0.0,
(
json_data["guidance_scale_lyric"]
if "guidance_scale_lyric" in json_data
else 0.0
),
)
def main(args):
model_demo = ACEStepPipeline(
checkpoint_dir=args.checkpoint_path,
dtype="bfloat16" if args.bf16 else "float32",
torch_compile=args.torch_compile
torch_compile=args.torch_compile,
)
print(model_demo)
@@ -52,46 +58,49 @@ def main(args):
json_data = sample_data(json_data)
print(json_data)
(
audio_duration,
prompt,
lyrics,
infer_step,
guidance_scale,
scheduler_type,
cfg_type,
omega_scale,
manual_seeds,
guidance_interval,
guidance_interval_decay,
min_guidance_scale,
use_erg_tag,
use_erg_lyric,
use_erg_diffusion,
oss_steps,
guidance_scale_text,
guidance_scale_lyric,
) = json_data
audio_duration,\
prompt, \
lyrics,\
infer_step, \
guidance_scale,\
scheduler_type, \
cfg_type, \
omega_scale, \
manual_seeds, \
guidance_interval, \
guidance_interval_decay, \
min_guidance_scale, \
use_erg_tag, \
use_erg_lyric, \
use_erg_diffusion, \
oss_steps, \
guidance_scale_text, \
guidance_scale_lyric = json_data
model_demo(
audio_duration,
prompt,
lyrics,
infer_step,
guidance_scale,
scheduler_type,
cfg_type,
omega_scale,
manual_seeds,
guidance_interval,
guidance_interval_decay,
min_guidance_scale,
use_erg_tag,
use_erg_lyric,
use_erg_diffusion,
oss_steps,
guidance_scale_text,
guidance_scale_lyric,
save_path=args.output_path,
)
model_demo(audio_duration, \
prompt, \
lyrics,\
infer_step, \
guidance_scale,\
scheduler_type, \
cfg_type, \
omega_scale, \
manual_seeds, \
guidance_interval, \
guidance_interval_decay, \
min_guidance_scale, \
use_erg_tag, \
use_erg_lyric, \
use_erg_diffusion, \
oss_steps, \
guidance_scale_text, \
guidance_scale_lyric,
save_path=args.output_path)
if __name__ == "__main__":
main(args)