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import os
import sys
import subprocess
import gradio as gr
from huggingface_hub import list_repo_files, hf_hub_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 file to include from transformers/
ALLOWED_TRANSFORMER_FILE = "ckpts/hunyuan-video-t2v-720p/transformers/mp_rank_00_model_states_fp8.pt"
def list_ckpt_files():
all_files = list_repo_files(repo_id=MODEL_REPO, repo_type="model", revision="main")
filtered_files = []
for f in all_files:
# Only allow this one file from transformers/
if f.startswith("ckpts/hunyuan-video-t2v-720p/transformers/"):
if f == ALLOWED_TRANSFORMER_FILE:
filtered_files.append(f)
else:
filtered_files.append(f)
return filtered_files
def download_ckpts():
os.makedirs(WEIGHTS_DIR, exist_ok=True)
logs = []
for filepath in list_ckpt_files():
relative_path = os.path.relpath(filepath, "ckpts")
target_path = os.path.join(WEIGHTS_DIR, "ckpts", relative_path)
if os.path.exists(target_path):
logs.append(f"✅ Exists: {target_path}")
continue
os.makedirs(os.path.dirname(target_path), exist_ok=True)
logs.append(f"⬇️ Downloading: {filepath}")
try:
hf_hub_download(
repo_id=MODEL_REPO,
filename=filepath,
local_dir=os.path.dirname(target_path),
local_dir_use_symlinks=False
)
except Exception as e:
logs.append(f"❌ Failed to download {filepath}: {e}")
return "\n".join(logs)
def run_sample_gpu_poor():
checkpoint_fp8 = os.path.join(
WEIGHTS_DIR, "ckpts", "hunyuan-video-t2v-720p", "transformers", "mp_rank_00_model_states_fp8.pt"
)
if not os.path.isfile(checkpoint_fp8):
return f"❌ Missing checkpoint: {checkpoint_fp8}"
cmd = [
"python3", "hymm_sp/sample_gpu_poor.py",
"--input", "assets/test.csv",
"--ckpt", checkpoint_fp8,
"--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"
result = subprocess.run(cmd, env=env, capture_output=True, text=True)
if result.returncode != 0:
return f"❌ sample_gpu_poor.py failed:\n{result.stderr}"
return f"✅ sample_gpu_poor.py finished:\n{result.stdout}"
def download_and_run():
log1 = download_ckpts()
log2 = run_sample_gpu_poor()
return f"{log1}\n\n---\n\n{log2}"
# Gradio UI
with gr.Blocks() as demo:
gr.Markdown("## 📦 Download All Checkpoints (Except Only One File from Transformers)")
output = gr.Textbox(lines=30, label="Logs")
button = gr.Button("🚀 Download + Run")
button.click(fn=download_and_run, outputs=output)
if __name__ == "__main__":
demo.launch(share=False)
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