Instructions to use zai-org/CogVideoX1.5-5B-I2V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zai-org/CogVideoX1.5-5B-I2V with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zai-org/CogVideoX1.5-5B-I2V", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
new issue
#6
by tangxiaochu - opened
Calculated padded input size per channel: (1 x 2402 x 2402). Kernel size: (3 x 3 x 3). Kernel size can't be greater than actual input size
tangxiaochu changed discussion status to closed
Were you able to find the solution for it?
Were you able to find the solution for it?
I had the same problem, and I read this resolved it.
https://github.com/THUDM/CogVideo/issues/561