Text-to-Video
Diffusers
lora
wan
metalcification
transformation
material
artistic
text-to-image
template:diffusion-lora
Instructions to use artificialguybr/Metalcification-Redmond-WAN2-I2V-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use artificialguybr/Metalcification-Redmond-WAN2-I2V-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/Metalcification-Redmond-WAN2-I2V-14B") prompt = "Metalcification" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- 6ee6dcd7ad95b1fc8ba230b6d385c4a3573d4f8df3c70ae6a6a27f5dc9e888cb
- Size of remote file:
- 153 MB
- SHA256:
- 3cc5fcf17722c0e709a432c05b2041e54109651d50766e44a4083388b8766971
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