Instructions to use hchen657Naza/PWM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hchen657Naza/PWM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hchen657Naza/PWM", 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
File size: 650 Bytes
23e1f91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | # Data Preparation
The training code expects LeRobot-style data.
## Expected Dataset Layout
```text
<dataset_name>/
βββ data/chunk-000/episode_*.parquet
βββ meta/
β βββ info.json
β βββ episodes.jsonl
β βββ episodes_stats.jsonl
β βββ tasks.jsonl
βββ videos/chunk-000/*.mp4
```
## Useful Utilities
- ALOHA conversion example:
- `policy_and_value/policy_offline_and_value/examples/aloha_real/convert_to_lerobot.py`
- Lightweight LeRobot tools:
- `policy_and_value/policy_offline_and_value/mini_lerobot/`
- Dynamics-model video resize helper:
- `dynamics/dynamics_model/preprocess.sh`
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