Other
Diffusers
Safetensors
3d-scene-generation
latent-diffusion
autonomous-driving
kitti-360
primitives
cvpr-2026
Instructions to use raniatze/pritti-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raniatze/pritti-checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("raniatze/pritti-checkpoints", 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
Improve model card metadata and content
#1
by nielsr HF Staff - opened
Hi, I'm Niels from the Hugging Face community team.
This PR improves the model card for PrITTI by:
- Updating the
library_nametodiffusersbased on the repository's file structure andmodel_index.json. - Adding the
pipeline_tag: other. - Linking the model to the original paper and project page.
- Adding relevant tags for better discoverability.
raniatze changed pull request status to merged