Instructions to use NU-World-Model-Embodied-AI/FlashWAM-RoboTwin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NU-World-Model-Embodied-AI/FlashWAM-RoboTwin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NU-World-Model-Embodied-AI/FlashWAM-RoboTwin", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| { | |
| "patch_size": [ | |
| 1, | |
| 2, | |
| 2 | |
| ], | |
| "num_attention_heads": 24, | |
| "attention_head_dim": 128, | |
| "in_channels": 48, | |
| "out_channels": 48, | |
| "action_dim": 30, | |
| "text_dim": 4096, | |
| "freq_dim": 256, | |
| "ffn_dim": 14336, | |
| "num_layers": 30, | |
| "cross_attn_norm": true, | |
| "eps": 1e-06, | |
| "rope_max_seq_len": 1024, | |
| "pos_embed_seq_len": null, | |
| "attn_mode": "torch", | |
| "_class_name": "WanTransformer3DModel", | |
| "_diffusers_version": "0.35.0.dev0" | |
| } |