Merge pull request #652 from erfanasgari21/moviepy-v2

Update code and requirements to support Moviepy v2

inference/gradio_composite_demo/README.md

@@ -41,7 +41,7 @@ pip install -r requirements.txt
 ## Running the code
 
 ```bash
-python gradio_web_demo.py
+python app.py
 ```
 
 

inference/gradio_composite_demo/app.py

@@ -30,7 +30,7 @@ from datetime import datetime, timedelta
 
 from diffusers.image_processor import VaeImageProcessor
 from openai import OpenAI
-import moviepy.editor as mp
+from moviepy import VideoFileClip
 import utils
 from rife_model import load_rife_model, rife_inference_with_latents
 from huggingface_hub import hf_hub_download, snapshot_download
@@ -271,9 +271,9 @@ def infer(
 
 
 def convert_to_gif(video_path):
-    clip = mp.VideoFileClip(video_path)
+    clip = VideoFileClip(video_path)
-    clip = clip.set_fps(8)
+    clip = clip.with_fps(8)
-    clip = clip.resize(height=240)
+    clip = clip.resized(height=240)
     gif_path = video_path.replace(".mp4", ".gif")
     clip.write_gif(gif_path, fps=8)
     return gif_path

inference/gradio_composite_demo/requirements.txt

@@ -15,5 +15,5 @@ gradio>=5.4.0
 imageio>=2.34.2
 imageio-ffmpeg>=0.5.1
 openai>=1.45.0
-moviepy>=1.0.3
+moviepy>=2.0.0
 pillow==9.5.0

inference/gradio_web_demo.py

@@ -20,7 +20,7 @@ from diffusers import CogVideoXPipeline
 from diffusers.utils import export_to_video
 from datetime import datetime, timedelta
 from openai import OpenAI
-import moviepy.editor as mp
+from moviepy import VideoFileClip
 
 pipe = CogVideoXPipeline.from_pretrained("THUDM/CogVideoX-5b", torch_dtype=torch.bfloat16).to("cuda")
 
@@ -117,9 +117,9 @@ def save_video(tensor):
 
 
 def convert_to_gif(video_path):
-    clip = mp.VideoFileClip(video_path)
+    clip = VideoFileClip(video_path)
-    clip = clip.set_fps(8)
+    clip = clip.with_fps(8)
-    clip = clip.resize(height=240)
+    clip = clip.resized(height=240)
     gif_path = video_path.replace(".mp4", ".gif")
     clip.write_gif(gif_path, fps=8)
     return gif_path

requirements.txt

@@ -10,6 +10,6 @@ gradio>=5.5.0
 imageio>=2.35.1
 imageio-ffmpeg>=0.5.1
 openai>=1.54.0
-moviepy>=1.0.3
+moviepy>=2.0.0
 scikit-video>=1.1.11
 pydantic>=2.10.3

tools/llm_flux_cogvideox/gradio_page.py

@@ -12,7 +12,7 @@ from transformers import AutoTokenizer
 from datetime import datetime, timedelta
 import threading
 import time
-import moviepy.editor as mp
+from moviepy import VideoFileClip
 
 torch.set_float32_matmul_precision("high")
 
@@ -140,9 +140,9 @@ def save_video(tensor):
 
 
 def convert_to_gif(video_path):
-    clip = mp.VideoFileClip(video_path)
+    clip = VideoFileClip(video_path)
-    clip = clip.set_fps(8)
+    clip = clip.with_fps(8)
-    clip = clip.resize(height=240)
+    clip = clip.resized(height=240)
     gif_path = video_path.replace(".mp4", ".gif")
     clip.write_gif(gif_path, fps=8)
     return gif_path

tools/replicate/cog.yaml

@@ -26,7 +26,7 @@ build:
     - imageio>=2.35.1
     - imageio-ffmpeg>=0.5.1
     - openai>=1.45.0
-    - moviepy>=1.0.3
+    - moviepy>=2.0.0
     - pillow==9.5.0
     - pydantic==1.10.7
   run: