Text-to-Video
Diffusers
lora
wan
object-typography
creative
artistic
text-to-image
template:diffusion-lora
Instructions to use artificialguybr/ObjectTypo-Redmond-WAN2-T2V-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use artificialguybr/ObjectTypo-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/ObjectTypo-Redmond-WAN2-T2V-14B") prompt = "ObjectTypography. Aerial drone shot slowly revealing the word \"GROW\" formed by different stages of crop growth in agricultural fields. The 'G' is freshly plowed dark soil, 'R' is young green sprouts, 'O' is mature golden wheat, and 'W' is being harvested. The patchwork of fields creates a living timeline. Warm afternoon light, pastoral landscape." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
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