Delete generate.py

generate.py

@@ -1,43 +0,0 @@
-import argparse
-import subprocess
-import os
-import torch
-from huggingface_hub import snapshot_download
-
-# Arguments
-parser = argparse.ArgumentParser()
-parser.add_argument("--task", type=str, default="t2v-14B")
-parser.add_argument("--size", type=str, default="832*480")
-parser.add_argument("--frame_num", type=int, default=60)
-parser.add_argument("--sample_steps", type=int, default=20)
-parser.add_argument("--ckpt_dir", type=str, default="./Wan2.1-T2V-14B")
-parser.add_argument("--offload_model", type=str, default="True")
-parser.add_argument("--prompt", type=str, required=True)
-args = parser.parse_args()
-
-# Ensure the model is downloaded
-if not os.path.exists(args.ckpt_dir):
-    print("🔄 Downloading WAN 2.1 - 14B model from Hugging Face...")
-    snapshot_download(repo_id="Wan-AI/Wan2.1-T2V-14B", local_dir=args.ckpt_dir)
-
-# Free up GPU memory
-if torch.cuda.is_available():
-    torch.cuda.empty_cache()
-    torch.backends.cudnn.benchmark = False
-    torch.backends.cudnn.deterministic = True
-
-# Run WAN 2.1 - 14B Model
-command = f"python generate.py --task {args.task} --size {args.size} --frame_num {args.frame_num} --sample_steps {args.sample_steps} --ckpt_dir {args.ckpt_dir} --offload_model {args.offload_model} --prompt \"{args.prompt}\""
-
-process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-stdout, stderr = process.communicate()
-
-# Print logs for debugging
-print("🔹 Output:", stdout.decode())
-print("🔺 Error:", stderr.decode())
-
-# Verify if video was created
-if os.path.exists("output.mp4"):
-    print("✅ Video generated successfully: output.mp4")
-else:
-    print("❌ Error: Video file not found!")