How to use from the
Use from the
Diffusers library
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")

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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