Instructions to use Luffuly/head-mvimage-diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luffuly/head-mvimage-diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Luffuly/head-mvimage-diffuser", 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
| license: mit | |
| library_name: diffusers | |
| pipeline_tag: image-to-3d | |
| # SOAP: Style-Omniscient Animatable Portraits | |
| This repository contains the model of the paper [SOAP: Style-Omniscient Animatable Portraits](https://huggingface.co/papers/2505.05022). | |
| Code: https://github.com/TingtingLiao/soap |