Instructions to use EmbodyX/UR3-organize-lingbotva-3000step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EmbodyX/UR3-organize-lingbotva-3000step with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EmbodyX/UR3-organize-lingbotva-3000step", 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
Ctrl+K
ur3 bimanual organize FDM-v2 transformer @ step 3000 (min/max norm + zero-inclusion + stride=4)
690890f verified