Instructions to use AlekseyCalvin/UkraineWar_Wan21_14b_LoRA_BySAP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/UkraineWar_Wan21_14b_LoRA_BySAP 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-14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/UkraineWar_Wan21_14b_LoRA_BySAP") prompt = "UKR footage clip..." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Impacts of War: Ukraine (14B Variant I)
A Low(ish) Rank Adapter (LoRA)
For Wan2.1 14B Text to Video Model
||| By SilverAgePoets.com |||
History's Nightmare Echoes Persisting
A 64dim/128alpha LoRA for the Wan2.1 14B 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-record visual documents (news reports, trench streams, civilian-sourced records, & so forth...) of certain catastrophic events, impacts, and consequences...
- Prompt
- UKR footage clip...
- Prompt
- UKR footage clip...
- 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 Wan2.2 5B-T2I2V version of this adapter.
HERE is a Wan2.1 1.3B-T2V version of this adapter.
- Downloads last month
- 18
Model tree for AlekseyCalvin/UkraineWar_Wan21_14b_LoRA_BySAP
Base model
Wan-AI/Wan2.1-T2V-14B