Expansion of diffusers-cli env

[tolgacangoz]

Would it be more informative to extend the output of diffusers-cli env? For instance, huggingface-cli env displays these:

- huggingface_hub version: 0.21.3
- Platform: Linux-6.5.0-25-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Running in iPython ?: No
- Running in notebook ?: No
- Running in Google Colab ?: No
- Token path ?: /home/user_name/.cache/huggingface/token
- Has saved token ?: False
- Configured git credential helpers: cache
- FastAI: N/A
- Tensorflow: N/A
- Torch: 2.2.1
- Jinja2: 3.1.3
- Graphviz: N/A
- Pydot: N/A
- Pillow: 10.2.0
- hf_transfer: N/A
- gradio: N/A
- tensorboard: N/A
- numpy: 1.26.4
- pydantic: 2.6.1
- aiohttp: 3.9.3
- ENDPOINT: https://huggingface.co
- HF_HUB_CACHE: /home/user_name/.cache/huggingface/hub
- HF_ASSETS_CACHE: /home/user_name/.cache/huggingface/assets
- HF_TOKEN_PATH: /home/user_name/.cache/huggingface/token
- HF_HUB_OFFLINE: False
- HF_HUB_DISABLE_TELEMETRY: False
- HF_HUB_DISABLE_PROGRESS_BARS: None
- HF_HUB_DISABLE_SYMLINKS_WARNING: False
- HF_HUB_DISABLE_EXPERIMENTAL_WARNING: False
- HF_HUB_DISABLE_IMPLICIT_TOKEN: False
- HF_HUB_ENABLE_HF_TRANSFER: False
- HF_HUB_ETAG_TIMEOUT: 10
- HF_HUB_DOWNLOAD_TIMEOUT: 10

And, the output of transformers-cli env:

An NVIDIA GPU may be present on this machine, but a CUDA-enabled jaxlib is not installed. Falling back to cpu.

Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.

- `transformers` version: 4.38.2
- Platform: Linux-6.5.0-25-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.21.3
- Safetensors version: 0.4.2
- Accelerate version: 0.27.2
- Accelerate config: 	not found
- PyTorch version (GPU?): 2.2.1+cu121 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.8.0 (cpu)
- Jax version: 0.4.23
- JaxLib version: 0.4.23
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>

Plus peft?

[asomoza]

I 100% agree with this, knowing the details of peft, flax and jax are important to help with issues.

[sayakpaul]

Amazing, would you be open to creating a PR? @StandardAI