Text-to-Video
Diffusers
lora
wan
spectramatic
thermal
heat-vision
infrared
cinematic
text-to-image
template:diffusion-lora
Instructions to use artificialguybr/Spectramatic-Redmond-WAN2-T2V-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use artificialguybr/Spectramatic-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/Spectramatic-Redmond-WAN2-T2V-14B") prompt = "Spectramatic. First-person thermal POV from motorcycle handlebars racing down empty highway at night. The bike's engine glows brilliant orange-red, exhaust pipes yellow-hot. Asphalt is cool blue-purple, but tire tracks leave brief warm orange traces. Oncoming headlights flare white. The rider's gloved hands pulse red. Wind creates visible thermal currents. High-speed continuous shot with motion blur." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
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