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: 557 Bytes
ba96331 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"_class_name": "TripoSGPipeline",
"_diffusers_version": "0.30.3",
"feature_extractor": [
"transformers",
"BitImageProcessor"
],
"image_encoder": [
"transformers",
"Dinov2Model"
],
"scheduler": [
"genlab.schedulers.scheduling_flow_match_euler_discrete",
"FlowMatchEulerDiscreteScheduler"
],
"transformer": [
"genlab.models.diffusers_modules.triposg.transformer_triposg",
"TripoSGDiTModel"
],
"vae": [
"genlab.models.diffusers_modules.triposg.autoencoder_kl_triposg",
"AutoencoderKLVecset"
]
} |