Text-to-Video
Diffusers
lora
wan
split-screen
cinematic
creative-composition
visual-contrast
text-to-image
template:diffusion-lora
Instructions to use artificialguybr/SplitScreen-Redmond-WAN2-T2V-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use artificialguybr/SplitScreen-Redmond-WAN2-T2V-14B 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("artificialguybr/SplitScreen-Redmond-WAN2-T2V-14B") prompt = "Split Screen. Side-by-side reflection shot. Left video: handheld shot of vacuum cleaner sucking up dust and debris across hardwood floor. Reflection: aerial documentary footage of tornado funnel touching down in open field, debris spiraling upward. No visible dividing line or gap between them." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
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