Instructions to use 2bidoubi/SPARK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 2bidoubi/SPARK with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("2bidoubi/SPARK", 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": "TripoSGVAEModel", | |
| "_diffusers_version": "0.34.0", | |
| "_name_or_path": "pretrained_weights/TripoSG", | |
| "embed_frequency": 8, | |
| "embed_include_pi": false, | |
| "embedding_type": "frequency", | |
| "in_channels": 3, | |
| "latent_channels": 64, | |
| "num_attention_heads": 8, | |
| "num_layers_decoder": 16, | |
| "num_layers_encoder": 8, | |
| "width_decoder": 1024, | |
| "width_encoder": 512 | |
| } | |