Text-to-Video
Diffusers
wan
video
text-to-image
image-to-video
video-to-video
diffusion-pipe
lora
template:sd-lora
standard
Instructions to use AlekseyCalvin/UkraineWar_wan2.2_5B_ti2vLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/UkraineWar_wan2.2_5B_ti2vLoRA 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-TI2V-5B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/UkraineWar_wan2.2_5B_ti2vLoRA") prompt = "UKR footage clip..." 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
A Low(ish) Rank Adapter (LoRA)
For Wan2.2 5B Text to Image to Video Model
||| By SilverAgePoets.com |||
Still This Nightmare History Remains...
A Rank64 LoRA for the Wan2.2 5B TI2V model, also accessible via HF Diffusers at this repo.
Fine-tuned using Ostris' ai-toolkit trainer...
...on a custom dataset consisting of 100s of open-domain/public record visual documents of certain catastrophic events, impacts, and consequences...

- Prompt
- UKR footage clip...
TRIGGERING:
[UKR] style war footage movie clip, in Ukraine, wartime scene, etc...
OTHER VARIANTS of this LoRA:
HERE is a Wan2.2 A14B-MoE-T2V version of this adapter.
HERE is a Wan2.1 1.3B-T2V version of this adapter.
HERE is a Wan2.1 14B-T2V version of this adapter.
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Model tree for AlekseyCalvin/UkraineWar_wan2.2_5B_ti2vLoRA
Base model
Wan-AI/Wan2.2-TI2V-5B