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  1. README.md +87 -0
  2. config.json +1 -0
  3. model/optimized_model.pkl +3 -0
  4. model/smash_config.json +1 -0
  5. plots.png +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: pruna-engine
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+ thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"
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+ metrics:
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+ - memory_disk
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+ - memory_inference
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+ - inference_latency
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+ - inference_throughput
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+ - inference_CO2_emissions
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+ - inference_energy_consumption
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+ ---
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+ <!-- header start -->
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+ <!-- 200823 -->
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+ <div style="width: auto; margin-left: auto; margin-right: auto">
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+ <a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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+ <img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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+ </a>
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+ </div>
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+ <!-- header end -->
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+
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+ [![Twitter](https://img.shields.io/twitter/follow/PrunaAI?style=social)](https://twitter.com/PrunaAI)
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+ [![GitHub](https://img.shields.io/github/followers/PrunaAI?label=Follow%20%40PrunaAI&style=social)](https://github.com/PrunaAI)
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+ [![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue)](https://www.linkedin.com/company/93832878/admin/feed/posts/?feedType=following)
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+ [![Discord](https://img.shields.io/badge/Discord-Join%20Us-blue?style=social&logo=discord)](https://discord.gg/CP4VSgck)
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+
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+ # Simply make AI models cheaper, smaller, faster, and greener!
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+
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+ - Give a thumbs up if you like this model!
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+ - Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
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+ - Request access to easily compress your *own* AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
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+ - Read the documentations to know more [here](https://pruna-ai-pruna.readthedocs-hosted.com/en/latest/)
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+ - Join Pruna AI community on Discord [here](https://discord.gg/CP4VSgck) to share feedback/suggestions or get help.
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+
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+ ## Results
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+
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+ ![image info](./plots.png)
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+
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+ **Important remarks:**
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+ - The quality of the model output might slightly vary compared to the base model. There might be minimal quality loss.
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+ - 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, ...).
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+ - You can request premium access to more compression methods and tech support for your specific use-cases [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
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+
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+ ## Setup
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+
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+ You can run the smashed model with these steps:
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+
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+ 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`.
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+ 1. Install the `pruna-engine` available [here](https://pypi.org/project/pruna-engine/) on Pypi. It might take 15 minutes to install.
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+ ```bash
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+ 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/
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+ ```
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+ 3. Download the model files using one of these three options.
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+ - Option 1 - Use command line interface (CLI):
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+ ```bash
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+ mkdir SG161222-Realistic_Vision_V1.4-turbo-tiny-green-smashed
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+ huggingface-cli download PrunaAI/SG161222-Realistic_Vision_V1.4-turbo-tiny-green-smashed --local-dir SG161222-Realistic_Vision_V1.4-turbo-tiny-green-smashed --local-dir-use-symlinks False
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+ ```
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+ - Option 2 - Use Python:
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+ ```python
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+ import subprocess
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+ repo_name = "SG161222-Realistic_Vision_V1.4-turbo-tiny-green-smashed"
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+ subprocess.run(["mkdir", repo_name])
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+ subprocess.run(["huggingface-cli", "download", 'PrunaAI/'+ repo_name, "--local-dir", repo_name, "--local-dir-use-symlinks", "False"])
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+ ```
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+ - Option 3 - Download them manually on the HuggingFace model page.
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+ 3. Load & run the model.
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+ ```python
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+ from pruna_engine.PrunaModel import PrunaModel
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+
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+ model_path = "SG161222-Realistic_Vision_V1.4-turbo-tiny-green-smashed/model" # Specify the downloaded model path.
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+ smashed_model = PrunaModel.load_model(model_path) # Load the model.
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+ smashed_model(prompt='Beautiful fruits in trees', height=512, width=512)[0][0] # Run the model where x is the expected input of.
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+ ```
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+
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+ ## Configurations
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+
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+ The configuration info are in `config.json`.
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+
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+ ## Credits & License
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+
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+ We follow the same license as the original model. Please check the license of the original model SG161222/Realistic_Vision_V1.4 before using this model which provided the base model.
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+
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+ ## Want to compress other models?
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+
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+ - Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
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+ - Request access to easily compress your own AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
config.json ADDED
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+ {"pruners": "None", "pruning_ratio": "None", "factorizers": "None", "quantizers": "None", "n_quantization_bits": 32, "output_deviation": 0.0, "compilers": "['step_caching', 'tiling', 'diffusers2']", "static_batch": true, "static_shape": false, "controlnet": "None", "unet_dim": 4, "device": "cuda", "batch_size": 1, "max_batch_size": 1, "image_height": 512, "image_width": 512, "version": "1.4", "task": "txt2img", "weight_name": "None", "model_name": "SG161222/Realistic_Vision_V1.4", "save_load_fn": "stable_fast"}
model/optimized_model.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9b15bdac0521863ce2afdd76b111c22f820baa38715c32c8f0231a2433dbaf69
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+ size 2743426061
model/smash_config.json ADDED
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+ {"api_key": "pruna_c4c77860c62a2965f6bc281841ee1d7bd3", "verify_url": "http://johnrachwan.pythonanywhere.com", "smash_config": {"pruners": "None", "pruning_ratio": "None", "factorizers": "None", "quantizers": "None", "n_quantization_bits": 32, "output_deviation": 0.0, "compilers": "['step_caching', 'tiling', 'diffusers2']", "static_batch": true, "static_shape": false, "controlnet": "None", "unet_dim": 4, "device": "cuda", "cache_dir": ".models/optimized_model", "batch_size": 1, "max_batch_size": 1, "image_height": 512, "image_width": 512, "version": "1.4", "task": "txt2img", "weight_name": "None", "model_name": "SG161222/Realistic_Vision_V1.4", "save_load_fn": "stable_fast"}}
plots.png ADDED