Spaces:
Running
on
Zero
AssertionError: libcuda.so cannot found!
Looking at the output from the space, I tried to reproduce the inference code in google collab notebook.
I have used:
T4 GPU
python version: 3.10.12
CUDA version: 11.8.89
Below is my inference code:
import torch
from diffusers import StableVideoDiffusionPipeline
pipe = StableVideoDiffusionPipeline.from_pretrained(
"stabilityai/stable-video-diffusion-img2vid-xt", torch_dtype=torch.float16, variant="fp16"
)
pipe.to("cuda")
pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
pipe.vae = torch.compile(pipe.vae, mode="reduce-overhead", fullgraph=True)
max_64_bit_int = 2**63 - 1
from PIL import Image
image = Image.open('/content/Disaster_Girl.jpg').convert("RGB")
image
generator = torch.manual_seed(47)
decoding_t= 3
motion_bucket_id= 127
frames = pipe(image, decode_chunk_size=decoding_t, generator=generator, motion_bucket_id=motion_bucket_id, noise_aug_strength=0.1).frames[0]
It throws an error saying
```
BackendCompilerFailed Traceback (most recent call last)
in <cell line: 5>()
3 motion_bucket_id= 127
4
----> 5 frames = pipe(image, decode_chunk_size=decoding_t, generator=generator, motion_bucket_id=motion_bucket_id, noise_aug_strength=0.1).frames[0]
54 frames
/usr/lib/python3.10/concurrent/futures/_base.py in __get_result(self)
401 if self._exception:
402 try:
--> 403 raise self._exception
404 finally:
405 # Break a reference cycle with the exception in self._exception
BackendCompilerFailed: backend='inductor' raised:
AssertionError: libcuda.so cannot found!
Use these to handle this error.
!export LC_ALL="en_US.UTF-8"
!export LD_LIBRARY_PATH="/usr/lib64-nvidia"
!export LIBRARY_PATH="/usr/local/cuda/lib64/stubs"
!ldconfig /usr/lib64-nvidia