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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:
- Check cuda, torch, packaging requirements are installed. For cuda, check with
nvcc --version
and install withconda install nvidia/label/cuda-12.1.0::cuda
. For packaging and torch, runpip install packaging torch
. - 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/
- Download the model files using one of these three options.
- Option 1 - Use command line interface (CLI):
mkdir SG161222-RealVisXL_V1.0-turbo-green-smashed huggingface-cli download PrunaAI/SG161222-RealVisXL_V1.0-turbo-green-smashed --local-dir SG161222-RealVisXL_V1.0-turbo-green-smashed --local-dir-use-symlinks False
- Option 2 - Use Python:
import subprocess repo_name = "SG161222-RealVisXL_V1.0-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.
- Option 1 - Use command line interface (CLI):
- Load & run the model.
from pruna_engine.PrunaModel import PrunaModel model_path = "SG161222-RealVisXL_V1.0-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 SG161222/RealVisXL_V1.0 before using this model.
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