Instructions to use Remade-AI/Explode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Explode 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/Explode") prompt = "The video opens with a close-up of a smiling man, with curly hair, in a light-colored sweater. The man is smiling and looking up. The man is in front of a background with green hills and a bright sky. Then, the face of the smiling man 3xp105ion huge explosion that engulfs the entire screen with a bright light. The light is so bright that it obscures the man and his surroundings." 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:
- 6e6cd46e5da5252afe0fd2f263a7e9102f9db36c58dff3e5afa047c158087a5f
- Size of remote file:
- 611 kB
- SHA256:
- a26d9551fc5208cba0f5ef4ae6f9d48b71bbe2245b088e3c2f8b7afb2020fda0
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