Instructions to use dylanebert/mvdream with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dylanebert/mvdream with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dylanebert/mvdream", 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
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Download README.md from dylanebert/mvdream: direct link, hf CLI and curl.
- Browser
- Download file 1.02 kB
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https://huggingface.co/dylanebert/mvdream/resolve/main/README.md
- Command line
-
hf download hf://dylanebert/mvdream/README.md
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curl -L -o README.md https://huggingface.co/dylanebert/mvdream/resolve/main/README.md
1.02 kB
metadata
license: openrail
pipeline_tag: text-to-3d
This is a copy of ashawkey/mvdream-sd2.1-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/MVDream/MVDream into diffusers.
For usage, please check: https://github.com/ashawkey/mvdream_diffusers
Citation
@article{shi2023MVDream,
author = {Shi, Yichun and Wang, Peng and Ye, Jianglong and Mai, Long and Li, Kejie and Yang, Xiao},
title = {MVDream: Multi-view Diffusion for 3D Generation},
journal = {arXiv:2308.16512},
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.