Instructions to use dontKnow23456/WAM-Policy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dontKnow23456/WAM-Policy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dontKnow23456/WAM-Policy", 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
15 days ago
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Remove obsolete 2026-08-29 workspace backup
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17 days ago
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Archive OPD v3 Stage 2 step 7269
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18 days ago
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TRAIN-005: publish train001-20260926T061826Z/formal-7021104191-full step1000
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19 days ago
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v3/TRAIN-001: publish v3-proprio-20260926T062729Z/formal-26bdfbae03-full step1000
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Update restore instructions for RAMBO_Data remote
Verified signatureCanonicalize the restored rambo-sim origin to JalenLoong/RAMBO_Data and refresh the RESTORE.md checksum.59f129a -
Backup WAM-Policy workspace from Vast instance 49070302
Verified signatureSplit tar.zst workspace snapshot. Excludes HF credentials, uploader runtime, Isaac Sim runtime, and vendored upstream Isaac Lab. Includes project source/history, Git LFS objects, data, models, artifacts, checkpoints, and run evidence.4d3417a
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initial commit
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