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import os
import sys
import subprocess
import time
from huggingface_hub import snapshot_download
MODEL_REPO = "tencent/HunyuanVideo-Avatar"
BASE_DIR = os.getcwd()
WEIGHTS_DIR = os.path.join(BASE_DIR, "weights")
OUTPUT_BASEPATH = os.path.join(BASE_DIR, "results-poor")
# Specific checkpoint to use in the poor sampling run
CHECKPOINT_FILE = os.path.join(
WEIGHTS_DIR,
"ckpts",
"hunyuan-video-t2v-720p",
"transformers",
"mp_rank_00_model_states.pt"
)
CHECKPOINT_FP8_FILE = os.path.join(
WEIGHTS_DIR,
"ckpts",
"hunyuan-video-t2v-720p",
"transformers",
"mp_rank_00_model_states_fp8.pt"
)
def download_model():
print("⬇️ Model not found. Downloading with snapshot_download into weights directory...")
os.makedirs(WEIGHTS_DIR, exist_ok=True)
snapshot_download(
repo_id=MODEL_REPO,
local_dir=WEIGHTS_DIR,
local_dir_use_symlinks=False
)
if not os.path.isfile(CHECKPOINT_FILE):
print(f"❌ Checkpoint file not found at {CHECKPOINT_FILE} after download.")
sys.exit(1)
if not os.path.isfile(CHECKPOINT_FP8_FILE):
print(f"❌ FP8 checkpoint file not found at {CHECKPOINT_FP8_FILE}. Cannot proceed with sample_gpu_poor.py.")
sys.exit(1)
print("✅ Model downloaded successfully.")
def run_sample_gpu_poor():
print("🎬 Running sample_gpu_poor.py...")
cmd = [
"python3", "hymm_sp/sample_gpu_poor.py",
"--input", "assets/test.csv",
"--ckpt", CHECKPOINT_FP8_FILE,
"--sample-n-frames", "129",
"--seed", "128",
"--image-size", "704",
"--cfg-scale", "7.5",
"--infer-steps", "50",
"--use-deepcache", "1",
"--flow-shift-eval-video", "5.0",
"--save-path", OUTPUT_BASEPATH,
"--use-fp8",
"--cpu-offload",
"--infer-min"
]
env = os.environ.copy()
env["PYTHONPATH"] = "./"
env["MODEL_BASE"] = WEIGHTS_DIR
env["CPU_OFFLOAD"] = "1"
env["CUDA_VISIBLE_DEVICES"] = "0"
proc = subprocess.run(cmd, env=env)
if proc.returncode != 0:
print("❌ sample_gpu_poor.py failed.")
sys.exit(1)
print("✅ sample_gpu_poor.py completed successfully.")
def run_flask_audio():
print("🚀 Starting flask_audio.py...")
cmd = [
"torchrun",
"--nnodes=1",
"--nproc_per_node=8",
"--master_port=29605",
"hymm_gradio/flask_audio.py",
"--input", "assets/test.csv",
"--ckpt", CHECKPOINT_FILE,
"--sample-n-frames", "129",
"--seed", "128",
"--image-size", "704",
"--cfg-scale", "7.5",
"--infer-steps", "50",
"--use-deepcache", "1",
"--flow-shift-eval-video", "5.0"
]
subprocess.Popen(cmd)
def run_gradio_ui():
print("🟢 Starting gradio_audio.py UI...")
cmd = ["python3", "hymm_gradio/gradio_audio.py"]
subprocess.Popen(cmd)
def main():
if os.path.isfile(CHECKPOINT_FP8_FILE):
print("✅ Model checkpoint already exists. Skipping download.")
else:
download_model()
run_sample_gpu_poor()
# Optional: Start Flask and Gradio UIs after poor sample run
run_flask_audio()
time.sleep(5)
run_gradio_ui()
if __name__ == "__main__":
main() |