Instructions to use SnowflakeWang/MV-PBRMat-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SnowflakeWang/MV-PBRMat-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SnowflakeWang/MV-PBRMat-Diffusion", torch_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
metadata
license: apache-2.0
license_link: https://huggingface.co/SnowflakeWang/MV-PBRMat-Diffusion/blob/main/LICENSE
language:
- en
library_name: diffusers
Multi-view PBR Material Diffusion Model (MVMat)
See https://github.com/OpenRobotLab/MVMat for more details.