Instructions to use Remade-AI/Boxing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Boxing 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/Wan2.1-T2V-14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Remade-AI/Boxing") prompt = "B0x13ng Boxing video two boxers are in the ring, but one of them is significantly shorter than the other. The shorter female fighter in black shorts is aggressively throwing punches, trying to reach his taller opponent. The taller fighter, wearing black shorts, simply holds out his glove on the shorter fighter’s forehead, keeping her at a frustrating distance." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download boxing_10_epochs.safetensors from Remade-AI/Boxing: direct link, hf CLI and curl.
- Browser
- Download file 359 MB
-
https://huggingface.co/Remade-AI/Boxing/resolve/main/boxing_10_epochs.safetensors
- Command line
-
hf download hf://Remade-AI/Boxing/boxing_10_epochs.safetensors
-
curl -L -o boxing_10_epochs.safetensors https://huggingface.co/Remade-AI/Boxing/resolve/main/boxing_10_epochs.safetensors
359 MB
- Xet hash:
- 8b128e0040ca37e6a94087fedf42c06313e4556e3871813faa08903d62933fa3
- Size of remote file:
- 359 MB
- SHA256:
- 5b577383c6be11c574e831e561087ab086d5c336aa932f13008af4f62a0eb63e
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