| # Overview |
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| These examples show how to run [Diffuser](https://arxiv.org/abs/2205.09991) in Diffusers. |
| There are two ways to use the script, `run_diffuser_locomotion.py`. |
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| The key option is a change of the variable `n_guide_steps`. |
| When `n_guide_steps=0`, the trajectories are sampled from the diffusion model, but not fine-tuned to maximize reward in the environment. |
| By default, `n_guide_steps=2` to match the original implementation. |
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| You will need some RL specific requirements to run the examples: |
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| ```sh |
| pip install -f https://download.pytorch.org/whl/torch_stable.html \ |
| free-mujoco-py \ |
| einops \ |
| gym==0.24.1 \ |
| protobuf==3.20.1 \ |
| git+https://github.com/rail-berkeley/d4rl.git \ |
| mediapy \ |
| Pillow==9.0.0 |
| ``` |
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