Instructions to use zjh21/UNICA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zjh21/UNICA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zjh21/UNICA", 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
Add pipeline tag, library name and link to paper
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the community science team at Hugging Face.
This PR improves the model card for UNICA by:
- Adding the
image-to-3dpipeline tag to ensure it is correctly categorized. - Adding
library_name: diffusersas the configuration files indicate compatibility with the Diffusers library. - Linking the model card to the associated research paper.
Please let me know if you have any questions!
zjh21 changed pull request status to merged
Hi! I'm Niels from the community science team at Hugging Face.
This PR improves the model card for UNICA by:
- Adding the
image-to-3dpipeline tag to ensure it is correctly categorized.- Adding
library_name: diffusersas the configuration files indicate compatibility with the Diffusers library.- Linking the model card to the associated research paper.
Please let me know if you have any questions!
Thank you very much for your assistance.