Robotics
Diffusers
Safetensors
vision-language-action
pi0.5
libero
supervised-fine-tuning
reinforcement-learning
Instructions to use Miical/pi05-libero-10-sft-step-200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Miical/pi05-libero-10-sft-step-200 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Miical/pi05-libero-10-sft-step-200", 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
- Xet hash:
- c663498c4feeacde2b96b7f56ff31fdbef7fc2bdd1c68d89ba9b90a8d49c9aee
- Size of remote file:
- 3.44 GB
- SHA256:
- 92504d1c90b9229904527262bbcfbf8f91b772cdd0f470acbf749c5ff00d62ba
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