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
Commit History
-
Improve model card metadata and content (#1)
- Improve model card metadata and content (e7ca195f6f1a106828dcc5b7370db6bfda670c47) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>ad3838b
-
Upload folder using huggingface_hub
Verified signature1a77e00 -
Upload folder using huggingface_hub
Verified signaturefa6943b -
Upload folder using huggingface_hub
Verified signature9c2674e
-
Upload folder using huggingface_hub
Verified signature85d1a20 -
Upload folder using huggingface_hub
Verified signature0cb2058 -
initial commit
Verified signature3a0ca2e