Instructions to use VAST-AI/DetailGen3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VAST-AI/DetailGen3D with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("VAST-AI/DetailGen3D", 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": "DetailGen3DPipeline", | |
| "_diffusers_version": "0.32.0.dev0", | |
| "feature_extractor_1": [ | |
| "transformers", | |
| "BitImageProcessor" | |
| ], | |
| "image_encoder_1": [ | |
| "transformers", | |
| "Dinov2Model" | |
| ], | |
| "noise_scheduler": [ | |
| "diffusers", | |
| "DDPMScheduler" | |
| ], | |
| "transformer": [ | |
| "detailgen3d.models.transformers.detailgen3d_transformers", | |
| "DetailGen3DDiTModel" | |
| ], | |
| "vae": [ | |
| "detailgen3d.models.autoencoders.autoencoder_kl_triposg", | |
| "TripoSGVAEModel" | |
| ], | |
| "scheduler": [ | |
| "detailgen3d.schedulers.scheduling_rectified_flow", | |
| "RectifiedFlowScheduler" | |
| ] | |
| } | |