Instructions to use Remade-AI/Electrify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Electrify with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P,Wan-AI/Wan2.1-I2V-14B-480P-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Remade-AI/Electrify") prompt = "E13c7r1c electricity effect streaks through a swirling storm cloud, revealing the shadowy outline of a massive, winged beast. Each lightning strike illuminates its glowing blue eyes, and for a brief moment, its metal-plated wings shimmer before vanishing back into the storm." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- ac62132d21b11df391423c15dd9528ea06f43c3313080fdd0739d7ba49f4be32
- Size of remote file:
- 635 kB
- SHA256:
- 0a530b594aa2e1c09dc477d89968f4e01e5697ae031742365dca626581cc958f
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