Instructions to use Cloth-splatters/folding-state-est-gps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cloth-splatters/folding-state-est-gps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cloth-splatters/folding-state-est-gps", 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
| { | |
| "_class_name": "GPSStateEstModel", | |
| "_diffusers_version": "0.37.0", | |
| "dropout": 0.1, | |
| "edge_feature_dim": 4, | |
| "group_size": 32, | |
| "hidden_dim": 128, | |
| "in_channels": 6, | |
| "max_num_nodes": 160, | |
| "num_embeds_ada_norm": 1000, | |
| "num_groups": 128, | |
| "num_heads": 8, | |
| "num_layers": 8, | |
| "out_channels": 3, | |
| "pcd_embed_dim": 1024, | |
| "rest_pos_centering": "pcd" | |
| } | |