Instructions to use Tengpaz/multi-view-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tengpaz/multi-view-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("Tengpaz/multi-view-diffusion", 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: openrail | |
| pipeline_tag: image-to-3d | |
| This is a copy of [ashawkey/imagedream-ipmv-diffusers](https://huggingface.co/ashawkey/imagedream-ipmv-diffusers). | |
| It is hosted here for persistence throughout the ML for 3D course. | |
| # MVDream-diffusers Model Card | |
| This is a port of https://huggingface.co/Peng-Wang/ImageDream into diffusers. | |
| For usage, please check: https://github.com/ashawkey/mvdream_diffusers | |
| ## Citation | |
| ``` | |
| @article{wang2023imagedream, | |
| title={ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation}, | |
| author={Wang, Peng and Shi, Yichun}, | |
| journal={arXiv preprint arXiv:2312.02201}, | |
| year={2023} | |
| } | |
| ``` | |
| ## Misuse, Malicious Use, and Out-of-Scope Use | |
| The model should not be used to intentionally create or disseminate images that create hostile or alienating environments for people. This includes generating images that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes. | |