I have the same problem, have you solved it?

I have the same problem, have you solved it?

I have no idea how to fix this, need help.

Replace export to video with this:

def export_to_video(video_frames, output_video_path):
    # Get the dimensions of the first frame to set the dimensions of the video
    first_frame = video_frames[0]
    h, w, layers = first_frame.shape
    fps = 24  # frames per second
    
    # Create a video writer object
    with imageio.get_writer(output_video_path, fps=fps) as writer:
        for frame in video_frames:
            # Convert the numpy array to a PIL Image
            #pil_img = Image.fromarray(frame)
            # Append the image to the video
            writer.append_data(frame)#np.array(pil_img))

I tried with the code provided but got this error:

import torch
from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler
import imageio

from diffusers.utils import export_to_video

def export_to_video(video_frames, output_video_path):
# Get the dimensions of the first frame to set the dimensions of the video
first_frame = video_frames[0]
h, w, layers = first_frame.shape
fps = 24 # frames per second

# Create a video writer object
with imageio.get_writer(output_video_path, fps=fps) as writer:
    for frame in video_frames:
        # Convert the numpy array to a PIL Image
        #pil_img = Image.fromarray(frame)
        # Append the image to the video
        writer.append_data(frame)#np.array(pil_img))

pipe = DiffusionPipeline.from_pretrained("cerspense/zeroscope_v2_576w", torch_dtype=torch.float16)
pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
pipe.enable_model_cpu_offload()

prompt = "Darth Vader is surfing on waves"
video_frames = pipe(prompt, num_inference_steps=40, height=320, width=576, num_frames=24).frames
video_path = export_to_video(video_frames, "/video")

ERROR:

ValueError Traceback (most recent call last)
in <cell line: 26>()
24 prompt = "Darth Vader is surfing on waves"
25 video_frames = pipe(prompt, num_inference_steps=40, height=320, width=576, num_frames=24).frames
---> 26 video_path = export_to_video(video_frames, "/video")
27
28

2 frames
in export_to_video(video_frames, output_video_path)
11
12 # Create a video writer object
---> 13 with imageio.get_writer(output_video_path, fps=fps) as writer:
14 for frame in video_frames:
15 # Convert the numpy array to a PIL Image

/usr/local/lib/python3.10/dist-packages/imageio/v2.py in get_writer(uri, format, mode, **kwargs)
322 imopen_args["legacy_mode"] = True
323
--> 324 image_file = imopen(uri, "w" + mode, **imopen_args)
325 if isinstance(image_file, LegacyPlugin):
326 return image_file.legacy_get_writer(**kwargs)

/usr/local/lib/python3.10/dist-packages/imageio/core/imopen.py in imopen(uri, io_mode, plugin, extension, format_hint, legacy_mode, **kwargs)
221 "Specify the plugin explicitly using the plugin kwarg, e.g. plugin='DICOM'"
222 )
--> 223 raise err_type(err_msg)
224
225 # close the current request here and use fresh/new ones while trying each

ValueError: ImageIO does not generally support reading folders. Limited support may be available via specific plugins. Specify the plugin explicitly using the plugin kwarg, e.g. plugin='DICOM'