Instructions to use Luo-Yihong/TDM_CogVideoX-2B_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luo-Yihong/TDM_CogVideoX-2B_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("THUDM/CogVideoX-2b", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Luo-Yihong/TDM_CogVideoX-2B_LoRA") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things

- Xet hash:
- 31a865501a60c9dcaa0489404c29ac8a40e33c2e3431a130aa4b5422ce6f15d0
- Size of remote file:
- 170 kB
- SHA256:
- 24e778882916d1171d3d266f7a833793d457bcb30749e7262b03c35e75fcc16b
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