Instructions to use suvadityamuk/sam-3d-objects-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/sam-3d-objects-diffusers-3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suvadityamuk/sam-3d-objects-diffusers-3d", 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
Download sparse_structure_flow_model/config.json from suvadityamuk/sam-3d-objects-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 509 Bytes
-
https://huggingface.co/suvadityamuk/sam-3d-objects-diffusers-3d/resolve/main/sparse_structure_flow_model/config.json
- Command line
-
hf download hf://suvadityamuk/sam-3d-objects-diffusers-3d/sparse_structure_flow_model/config.json
-
curl -L -o config.json https://huggingface.co/suvadityamuk/sam-3d-objects-diffusers-3d/resolve/main/sparse_structure_flow_model/config.json
509 Bytes
| { | |
| "_class_name": "Sam3DSparseStructureFlowModel", | |
| "_diffusers_version": "0.41.0.dev0", | |
| "cond_channels": 1024, | |
| "in_channels": 8, | |
| "mlp_ratio": 4, | |
| "model_channels": 1024, | |
| "num_blocks": 24, | |
| "num_heads": 16, | |
| "pose_latents": [ | |
| [ | |
| "rotation", | |
| 6 | |
| ], | |
| [ | |
| "translation", | |
| 3 | |
| ], | |
| [ | |
| "scale", | |
| 3 | |
| ], | |
| [ | |
| "translation_scale", | |
| 1 | |
| ] | |
| ], | |
| "qk_rms_norm": true, | |
| "qk_rms_norm_cross": false, | |
| "resolution": 16, | |
| "use_checkpoint": false | |
| } | |