Text-to-Video
Diffusers
lora
wan
axial-view
aerial
top-down
circular
geometric
cinematic
text-to-image
template:diffusion-lora
Instructions to use artificialguybr/AxialView-Redmond-WAN2-T2V-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use artificialguybr/AxialView-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/AxialView-Redmond-WAN2-T2V-14B") prompt = "AxialView. Extreme wide aerial shot of a perfect circular coral atoll, turquoise lagoon surrounded by white sand reef barrier. Schools of manta rays swim in synchronized circles through the crystal water below. Style: Tropical aerial cinematography, gradient blues from deep ocean to pale lagoon, pristine ecosystem with geographic perfection." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
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