Text-to-Video
Diffusers
lora
wan
surreal
artistic
veo
sculpture
text-to-image
template:diffusion-lora
Instructions to use artificialguybr/Wan-BalancingAct-Redmond-Wan2.1-T2V-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use artificialguybr/Wan-BalancingAct-Redmond-Wan2.1-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/Wan2.1-T2V-14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("artificialguybr/Wan-BalancingAct-Redmond-Wan2.1-T2V-14B") prompt = "High-angle static shot of a chaotic, impossibly tall tower of vintage arcade game cabinets and electric guitars, precariously stacked on a windswept, rocky cliff overlooking a stormy sea. The machines and instruments, showing subtle wear, rust, and tear, are positioned upright, sideways, and tilted at improbable angles. The image has a photorealistic 35mm film look. The dramatic, dark clouds of the storm cast a tense, melancholic tone over the scene. The vastness of the churning ocean below accentuates the absurdity and surreal nature of the image. Balancing Act" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Delete Videos/WAN_wan_00451.mp4
Browse files- Videos/WAN_wan_00451.mp4 +0 -3
Videos/WAN_wan_00451.mp4
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