Instructions to use AlekseyCalvin/UkraineWarA14b_wan2.2_t2v-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/UkraineWarA14b_wan2.2_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/Wan2.2-T2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/UkraineWarA14b_wan2.2_t2v-LoRA") prompt = "UKR style war footage movie clip, in Ukraine, wartime scene" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Impacts of War: Ukraine (Var.3)
A Low(ish) Rank Adapter (LoRA)
For Wan2.2 A14B Text to Video MoE Model
||| By SilverAgePoets.com |||
History is Now, is a Nightmare
A Rank32 LoRA for the Wan2.2 14B Mixture of Experts Text to Video model, also accessible via HF Diffusers at this repo.
Fine-tuned using Ostris' ai-toolkit trainer...
...on a custom dataset consisting of 100s of Ukraine-sourced public-domain/open-access visual documents (news reports, trench streams, civilian records, & so forth...) of certain catastrophic events, impacts, and consequences...
TRIGGERING:
UKR style war footage movie clip, in Ukraine, wartime scene, etc...
OTHER VARIANTS of this LoRA:
HERE is a Wan2.2 5B-T2I2V version of this adapter.
HERE is a Wan2.1 14B-T2V version of this adapter.
HERE is a Wan2.1 1.3B-T2V version of this adapter.
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Model tree for AlekseyCalvin/UkraineWarA14b_wan2.2_t2v-LoRA
Base model
Wan-AI/Wan2.2-T2V-A14B