Instructions to use zai-org/CogVideoX-5b-I2V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zai-org/CogVideoX-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/CogVideoX-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
Getting CogVideoXPatchEmbed does not have pos_embedding.
#2
by Ozzymuppet - opened
Getting this error. Any idea how to fix?
CogVideoXPatchEmbed( (proj): Conv2d(32, 3072, kernel_size=(2, 2), stride=(2, 2)) (text_proj): Linear(in_features=4096, out_features=3072, bias=True) ) does not have a parameter or a buffer named pos_embedding.
FIXED: Issue was diffusers not updated. Did this by going into ComfyUI-CogVideoXWrapper folder and do a pip install -r requirements.txt