Wan Toy Transform

Alibaba Research Intelligence Computing

This is a LoRA model finetuned on Wan-I2V-14B-480P. It turns things in the image into fluffy toys. 🌟 Give it a star if you like it.

🎞️ Showcases

🐍 Installation

# Python 3.12 and PyTorch 2.6.0 are tested.
pip install torch==2.6.0 torchvision==0.21.0 --index-url https://download.pytorch.org/whl/cu124
pip install -r requirements.txt

🔄 Inference

python generate.py --prompt "The video opens with a clear view of a $name. Then it transforms to a b6e9636 JellyCat-style $name. It has a face and a cute, fluffy and playful appearance." --image $image_path --save_file "output.mp4" --offload_type leaf_level

Note:

• Change $name to the object name you want to transform.

• $image_path is the path to the first frame image.

• Choose --offload_type from ['leaf_level', 'block_level', 'none', 'model']. More details can be found here.

• VRAM usage and generation time of different --offload_type are listed below.

  --offload_type	VRAM Usage	Generation Time (NVIDIA A100)
  leaf_level	11.9 GB	17m17s
  block_level (num_blocks_per_group=1)	20.5 GB	16m48s
  model	39.4 GB	16m24s
  none	55.9 GB	16m08s

🤝 Acknowledgements

Special thanks to these projects for their contributions to the community!

• Wan2.1
• diffusion-pipe
• diffusers

📄 Our previous work

• Tora: Trajectory-oriented Diffusion Transformer for Video Generation
• AnimateAnything: Fine Grained Open Domain Image Animation with Motion Guidance