Instructions to use neph1/ancient_rome_wan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neph1/ancient_rome_wan 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("neph1/ancient_rome_wan") prompt = "-" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Upload 2 files
Browse files
rome_wan_high_20.safetensors
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rome_wan_low_30.safetensors
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oid sha256:3bf2c92a85bba929f50e70b96de87774ae497d64cf22ae6423e097a34a9dc2c7
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