Instructions to use linoyts/motion-morph-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use linoyts/motion-morph-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-T2V-A14B-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("linoyts/motion-morph-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
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Download README.md from linoyts/motion-morph-lora: direct link, hf CLI and curl.
- Browser
- Download file 197 Bytes
-
https://huggingface.co/linoyts/motion-morph-lora/resolve/main/README.md
- Command line
-
hf download hf://linoyts/motion-morph-lora/README.md
-
curl -L -o README.md https://huggingface.co/linoyts/motion-morph-lora/resolve/main/README.md
197 Bytes
metadata
base_model:
- Wan-AI/Wan2.2-T2V-A14B
- Wan-AI/Wan2.2-T2V-A14B-Diffusers
library_name: diffusers
tags:
- lora
Motion morphing LoRA for Wan by Flipping Sigmas