Text-to-Video
Diffusers
lora
wan
vintage
cinematic
brown-tones
artistic
text-to-image
template:diffusion-lora
Instructions to use artificialguybr/Vintage-Cinematic-Redmond-Wan22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use artificialguybr/Vintage-Cinematic-Redmond-Wan22 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/Vintage-Cinematic-Redmond-Wan22") prompt = "Vintage Cinematic Color. A wide, static shot of a lone ballerina mid-spin in a vast, empty dance studio. The polished wood floor reflects her form. Dramatic shafts of volumetric light cut through the dusty air from high windows, illuminating her movement. The scene is composed entirely of brown tones, from the deep mahogany floor to the pale, dusty light. The detailed texture of the wood and the dancer's focused grace lend a melancholic, arthouse film aesthetic." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
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