Instructions to use AlekseyCalvin/UkraineWar1.3B_Wan2.1_t2v-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/UkraineWar1.3B_Wan2.1_t2v-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("Wan-AI/Wan2.1-T2V-1.3B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/UkraineWar1.3B_Wan2.1_t2v-LoRA") prompt = "UKR footage clip..." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- 262279e817bcba6f28d21883841faa5d710f34739e01ee5fb98c9a702196870d
- Size of remote file:
- 5.45 MB
- SHA256:
- b116c163aacb2fdde55f4d25bc57a2652596cb2bc37b201aad98543d0808fbfc
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