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
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
PWM
Snapshot of s3://far-research-internal/hongyipc/pwm_local/{PWM,PWM_code} (uploaded 2026-08-26).
PWM/โ PWM assets (98.3 GB):EgoVLA_Release/checkpoints,Ego_Humanoid_Manipulation_Benchmark/,IsaacLab/PWM_code/โ PWM source code (6.9 GB):RISE_aux/,policy_wm_eval/,act_models/,policy_rl/,reward_model/,EgoVLA_Release/,skills/
Uploaded as a plain directory tree (not tarballs), so files can be browsed and fetched
individually. __pycache__/ and *.pyc were excluded.
.git/ directories are not uploadable as plain files by upload_large_folder, so the three
git histories (PWM/IsaacLab, PWM_code/policy_rl/act, PWM_code/reward_model/robometer)
are preserved separately in git_metadata.tar.gz. Restore them in place with:
tar -xzf git_metadata.tar.gz
Download
hf download hchen657Naza/PWM --repo-type model --local-dir PWM_repo
Single subtree only:
hf download hchen657Naza/PWM --repo-type model --include 'PWM_code/*' --local-dir PWM_repo
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