Instructions to use Remade-AI/Dogs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Dogs 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/Dogs") prompt = "d48g dog video A beagle puppy is sitting in a basket on a bicycle, ears flapping in the wind as the bike moves forward. The dog looks excited, glancing side to side at the passing scenery. The road is lined with trees, their leaves bright green." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Upload 4 files
Browse files- .gitattributes +4 -0
- example_videos/dog1.mp4 +3 -0
- example_videos/dog2.mp4 +3 -0
- example_videos/dog3.mp4 +3 -0
- example_videos/dog4.mp4 +3 -0
.gitattributes
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