Other
Transformers
Safetensors
ldf_motion
feature-extraction
text-to-motion
motion-generation
diffusion-forcing
humanml3d
computer-animation
custom_code
Instructions to use ShandaAI/FloodDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShandaAI/FloodDiffusion with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShandaAI/FloodDiffusion", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| exp_name: ldf | |
| seed: 1234 | |
| debug: false | |
| train: false | |
| save_dir: ./outputs | |
| resume_ckpt: null | |
| test_ckpt: "model.safetensors" | |
| test_vae_ckpt: "vae.safetensors" | |
| test_vae: | |
| target: ldf_models.vae_wan_1d.VAEWanModel | |
| ema_decay: 0.99 | |
| params: | |
| input_dim: 263 | |
| z_dim: 4 | |
| test_setting: | |
| render: false | |
| simple: true | |
| recover_dim: 263 | |
| val_repeat: 1 | |
| model: | |
| target: ldf_models.diffusion_forcing_wan.DiffForcingWanModel | |
| ema_decay: 0.99 | |
| params: | |
| checkpoint_path: "ldf_deps/t5_umt5-xxl-enc-bf16/models_t5_umt5-xxl-enc-bf16.pth" | |
| tokenizer_path: "ldf_deps/t5_umt5-xxl-enc-bf16/google/umt5-xxl" | |
| input_dim: 4 | |
| noise_steps: 10 | |