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| import streamlit as st | |
| import subprocess | |
| import os | |
| # Title | |
| st.title("π₯ WAN 2.1 - 14B AI Text-to-Video Generator") | |
| # Input fields | |
| prompt = st.text_area("Enter your text prompt:", "A cat in military dress wearing headphones, laughing and walking.") | |
| frame_num = st.slider("Number of frames:", min_value=30, max_value=120, value=60, step=10) | |
| resolution = st.selectbox("Select resolution:", ["832*480", "1280*720"]) | |
| sample_steps = st.slider("Sampling steps:", min_value=10, max_value=50, value=20, step=5) | |
| # Button to generate video | |
| if st.button("Generate Video"): | |
| st.info("Generating video... This may take a few minutes.") | |
| # Run WAN 2.1 - 14B Model | |
| command = f"python generate.py --task t2v-14B --size {resolution} --frame_num {frame_num} --sample_steps {sample_steps} --ckpt_dir ./Wan2.1-T2V-14B --offload_model True --prompt \"{prompt}\"" | |
| process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) | |
| stdout, stderr = process.communicate() | |
| # Print logs for debugging | |
| st.text_area("π Logs", stdout.decode() + stderr.decode()) | |
| # Check if video was created | |
| if os.path.exists("output.mp4"): | |
| st.video("output.mp4") | |
| st.success("β Video generated successfully!") | |
| else: | |
| st.error("β Video generation failed! Check logs above.") | |