Why video is not generated

[innokria]

``# Install dependencies
!pip install -q modelscope torch huggingface_hub
import os
import subprocess
import torch
from huggingface_hub import snapshot_download
from IPython.display import display, Video
import os
import subprocess
from huggingface_hub import snapshot_download

Define model and directories

MODEL_REPO = "Wan-AI/Wan2.1-T2V-1.3B"
MODEL_DIR = "./Wan2.1-T2V-1.3B"

Ensure model is downloaded

if not os.path.exists(MODEL_DIR):
print("🔄 Downloading WAN 2.1 - 1.3B model from Hugging Face...")
snapshot_download(repo_id=MODEL_REPO, local_dir=MODEL_DIR)
else:
print("✅ Model already exists!")

🔥 Create generate.py dynamically in Kaggle

generate_py_code = """
import argparse
import os
import torch
import time

Argument Parser

parser = argparse.ArgumentParser()
parser.add_argument("--task", type=str, default="t2v-1.3B")
parser.add_argument("--size", type=str, required=True)
parser.add_argument("--ckpt_dir", type=str, required=True)
parser.add_argument("--offload_model", type=str, required=True)
parser.add_argument("--t5_cpu", action='store_true')
parser.add_argument("--sample_shift", type=int, required=True)
parser.add_argument("--sample_guide_scale", type=int, required=True)
parser.add_argument("--prompt", type=str, required=True)
parser.add_argument("--frame_num", type=str, required=True)
parser.add_argument("--sample_steps", type=str, required=True)
args = parser.parse_args()

print(f"🔹 Running model: {args.task}")
print(f"🔹 Size: {args.size}")
print(f"🔹 Model Directory: {args.ckpt_dir}")
print(f"🔹 Offload Model: {args.offload_model}")
print(f"🔹 T5 CPU Mode: {args.t5_cpu}")
print(f"🔹 Sample Shift: {args.sample_shift}")
print(f"🔹 Sample Guide Scale: {args.sample_guide_scale}")
print(f"🔹 Prompt: {args.prompt}")
print(f"🔹 Prompt: {args.frame_num}")

Simulate video generation

"""

Save to generate.py

with open("generate.py", "w") as f:
f.write(generate_py_code)

print("✅ generate.py created successfully!")

Function to generate video

Function to generate video

def generate_video(prompt, size="480*832", sample_shift=8, sample_guide_scale=6, offload_model=True, t5_cpu=True,frame=30,sample_steps=30):
print(f"🔹 Generating video for prompt: {prompt}")

# Properly formatted command as a list
command = [
    "python3", "generate.py",
    "--task", "t2v-1.3B",
    "--size", size,
    "--ckpt_dir", MODEL_DIR,
    "--offload_model", str(offload_model),
    "--t5_cpu",
    "--sample_shift", str(sample_shift),
    "--sample_guide_scale", str(sample_guide_scale),
    "--frame_num", str(frame),
    "--sample_steps", str(sample_steps),
    "--prompt", prompt
]

process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = process.communicate()

print("🔹 Output:", stdout.decode())


if os.path.exists("output.mp4"):
    print("✅ Video generated successfully: output.mp4")
else:
    print("❌ Error: Video file not found!")

Run the video generation

PROMPT = "A walking cat."
target_path = "/kaggle/working/output.mp4"
generate_video(PROMPT)

Display the video if it exists

if os.path.exists(target_path):
display(Video(target_path))
else:
print("❌ Error: Video file not found!")

output

Model already exists!
✅ generate.py created successfully!
🔹 Generating video for prompt: A walking cat.
🔹 Output: 🔹 Running model: t2v-1.3B
🔹 Size: 480*832
🔹 Model Directory: ./Wan2.1-T2V-1.3B
🔹 Offload Model: True
🔹 T5 CPU Mode: True
🔹 Sample Shift: 8
🔹 Sample Guide Scale: 6
🔹 Prompt: A walking cat.
🔹 Prompt: 30

✅ Video generated successfully: output.mp4

But it has no video

[innokria]

Model already exists!
✅ generate.py created successfully!
🔹 Generating video for prompt: A walking cat.
🔹 Output: b"\xf0\x9f\x94\xb9 Running model: t2v-1.3B\n\xf0\x9f\x94\xb9 Size: 480*832\n\xf0\x9f\x94\xb9 Model Directory: /kaggle/working/Wan2.1-T2V-1.3B\n\xf0\x9f\x94\xb9 Offload Model: True\n\xf0\x9f\x94\xb9 T5 CPU Mode: True\n\xf0\x9f\x94\xb9 Sample Shift: 8\n\xf0\x9f\x94\xb9 Sample Guide Scale: 6\n\xf0\x9f\x94\xb9 Prompt: A walking cat.\n\xf0\x9f\x94\xb9 Frame Num: 30\n\xf0\x9f\x94\xb9 Sample Steps: 30\n\xf0\x9f\x94\xb9 Output: b''\n\xf0\x9f\x94\xba Error: \n\xe2\x9c\x85 Video generated successfully---: output.mp4\n<IPython.core.display.Video object>\n"
🔹 Error: b''
✅ Video generated successfully=====: output.mp4

Still no VDO