Instructions to use To-Hitori/GeoMVD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use To-Hitori/GeoMVD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("To-Hitori/GeoMVD", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update pipeline tag, add library name, and expand model card for GeoMVD
Verified signatureThis PR significantly improves the model card for GeoMVD by: - Updating the `pipeline_tag` from `image-to-image` to `image-to-3d` to accurately reflect the model's capability in multi-view generation for 3D reconstruction. - Adding `library_name: diffusers` to enable the "how to use" widget, as the model's architecture (identified in `model_index.json`) is compatible with the `diffusers` library. - Expanding the model description with an introductory summary and the full paper abstract. - Adding direct links via badges to the Hugging Face paper page, the project page, and the GitHub repository. - Including the installation instructions and a detailed "How to Use" section with code snippets directly from the GitHub README to guide users on inference. - Incorporating the citation and acknowledgements sections for proper attribution.31f80a0 -
Update README.md
Verified signature8193fa5 -
Update README.md
Verified signature42ade2e -
Upload 3 files
Verified signature024249b -
Delete GeoMVD/LoRA_ckpt
Verified signature82e84d0
-
Upload 21 files
Verified signaturee13d6a0 -
initial commit
Verified signature1ec4811