TextToVideoSDPipeline outputs blank video

[rafationgson]

Describe the bug

I am encountering an issue when using the TextToVideoSDPipeline. It is generating blank videos when I run the model in Replicate. The model is running on A100 (80GB) hardware.

Reproduction

pipe = TextToVideoSDPipeline.from_pretrained(
            "cerspense/zeroscope_v2_576w",
            torch_dtype=torch.float32,
        )
pipe.enable_sequential_cpu_offload()

# memory optimization
pipe.unet.enable_forward_chunking(chunk_size=1, dim=1)
pipe.enable_vae_slicing()

pipe.scheduler = DPMSolverMultistepScheduler.from_config(self.pipe.scheduler.config)

video_frames = pipe(
            prompt="astronaut riding a horse on mars, beautiful, 8k, perfect, award winning, national geographic",
            negative_prompt="very blue, dust, noisy, washed out, ugly, distorted, broken", 
            num_frames=24, 
            num_inference_steps=25,
            guidance_scale=12.5,
            width=576,
            height=320,
        ).frames[0]

video_path = export_to_video(video_frames, fps=24)
return Path(video_path)

Logs

No response

System Info

Cog yaml file build: gpu: true cuda: "12.1" python_version: "3.11.1" system_packages:

• "libgl1-mesa-glx" python_packages:
• "diffusers==0.27.0"
• "torch==2.2.1"
• "ftfy==6.1.1"
• "scipy==1.9.3"
• "transformers==4.38.1"
• "accelerate==0.27.2"
• "huggingface-hub==0.20.3"
• "numpy==1.25.1"
• "opencv-python"

Who can help?

No response

[tolgacangoz]

Hi @rafationgson, What do you mean exactly as blank videos, only black frames? Why are you using .enable_sequential_cpu_offload()? Your GPU seems relatively decent. Do you have other processes that need to consume GPU VRAM? Could you replace it with .enable_model_cpu_offload() or .to('cuda')?

[rafationgson]

Hi @standardAI, yes black frames. Actually there are no other processes that need to consume GPU VRAM. I thought I needed to enable the offload.

I replaced it with to .to('cuda') and used torch.float16, but I am still encountering black frames.

[tolgacangoz]

What about .to('cuda') and torch.float32 without offloading?

[rafationgson]

What about .to('cuda') and torch.float32 without offloading?

Tried this too and issue still persists.

[tolgacangoz]

In what way are you exactly displaying video, via which function? What is your OpenCV version? Also, self.pipe is not another unrelated pipeline, right?

[rafationgson]

I am trying to display the video via the predict function of the Predictor class of my custom Cog model in Replicate. Yes self.pipe is the same pipeline, I forgot to remove it when I put the reproduction code above. As for my OpenCV version I believe it is the latest version: 4.9.0.80 since I didn't specify a version.

[yiyixuxu]

I can't reproduce this issue https://colab.research.google.com/drive/1Ul37s8OefIJ-RkpyNkPAqOc7P0gzRL78?usp=sharing

[DN6]

@rafationgson can you check to see if the individual frames of the video are blank as well?

[github-actions[bot]]

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[yiyixuxu]

@rafationgson is this still an issue?