Edit model card

Simply make AI models cheaper, smaller, faster, and greener!

Twitter GitHub LinkedIn

  • Give a thumbs up if you like this model!
  • Contact us and tell us which model to compress next here.
  • Request access to easily compress your own AI models here.
  • Read the documentations to know more here
  • Share feedback and suggestions on the Slack of Pruna AI (Coming soon!).

Results

image info

These results were obtained on NVIDIA A100-PCIE-40GB with configuration described in config.json. Results may vary in other settings (e.g. other hardware, image size, batch size, ...).

Setup

You can run the smashed model with these steps:

  1. Check cuda, torch, packaging requirements are installed. For cuda, check with nvcc --version and install with conda install nvidia/label/cuda-12.1.0::cuda. For packaging and torch, run pip install packaging torch.
  2. Install the pruna-engine available here on Pypi. It might take 15 minutes to install.
    pip install pruna-engine[gpu] --extra-index-url https://pypi.nvidia.com --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://prunaai.pythonanywhere.com/
    
  3. Download the model files using one of these three options.
    • Option 1 - Use command line interface (CLI):
      mkdir darkstorm2150-Protogen_v5.8_Official_Release-turbo-green-smashed
      huggingface-cli download PrunaAI/darkstorm2150-Protogen_v5.8_Official_Release-turbo-green-smashed --local-dir darkstorm2150-Protogen_v5.8_Official_Release-turbo-green-smashed --local-dir-use-symlinks False
      
    • Option 2 - Use Python:
      import subprocess
      repo_name = "darkstorm2150-Protogen_v5.8_Official_Release-turbo-green-smashed"
      subprocess.run(["mkdir", repo_name])
      subprocess.run(["huggingface-cli", "download", 'PrunaAI/'+ repo_name, "--local-dir", repo_name, "--local-dir-use-symlinks", "False"])
      
    • Option 3 - Download them manually on the HuggingFace model page.
  4. Load & run the model.
    from pruna_engine.PrunaModel import PrunaModel
    
    model_path = "darkstorm2150-Protogen_v5.8_Official_Release-turbo-green-smashed/model"  # Specify the downloaded model path.
    smashed_model = PrunaModel.load_model(model_path)  # Load the model.
    smashed_model(prompt='Beautiful fruits in trees', height=512, width=512)[0][0]  # Run the model where x is the expected input of.
    

Configurations

The configuration info are in config.json.

License

We follow the same license as the original model. Please check the license of the original model darkstorm2150-Protogen_v5.8_Official_Release before using this model.

Want to compress other models?

  • Contact us and tell us which model to compress next here.
  • Request access to easily compress your own AI models here.
Downloads last month
14
Inference API
Unable to determine this model’s pipeline type. Check the docs .