Instructions to use gen-lab/TripoSG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gen-lab/TripoSG with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gen-lab/TripoSG", 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
File size: 366 Bytes
ba96331 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"_class_name": "AutoencoderKLVecset",
"_diffusers_version": "0.30.3",
"embed_frequency": 8,
"embed_include_pi": false,
"embedding_type": "frequency",
"in_channels": 6,
"latent_channels": 64,
"num_attention_heads": 8,
"num_layers_decoder": 16,
"num_layers_encoder": 8,
"width_decoder": 1024,
"width_encoder": 512,
"downsample_ratio": 4.0
} |