PrunaAI/stabilityai-stable-diffusion-xl-base-1.0-turbo-green-smashed

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Results

Important remarks:

• The quality of the model output might slightly vary compared to the base model. There might be minimal quality loss.
• These results were obtained on NVIDIA A100-PCIE-40GB with configuration described in config.json and are obtained after a hardware warmup. Efficiency results may vary in other settings (e.g. other hardware, image size, batch size, ...).
• You can request premium access to more compression methods and tech support for your specific use-cases here.

Setup

You can run the smashed model with these steps:

0. 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.
1. 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/
   

2. Download the model files using one of these three options.
   • Option 1 - Use command line interface (CLI):

     mkdir stabilityai-stable-diffusion-xl-base-1.0-turbo-green-smashed
     huggingface-cli download PrunaAI/stabilityai-stable-diffusion-xl-base-1.0-turbo-green-smashed --local-dir stabilityai-stable-diffusion-xl-base-1.0-turbo-green-smashed --local-dir-use-symlinks False
     

   • Option 2 - Use Python:

     import subprocess
     repo_name = "stabilityai-stable-diffusion-xl-base-1.0-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.
3. Load & run the model.

   from pruna_engine.PrunaModel import PrunaModel
   
   model_path = "stabilityai-stable-diffusion-xl-base-1.0-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=1024, width=1024)[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 stabilityai/stable-diffusion-xl-base-1.0 before using this model.

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