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  1. README.md +6 -3
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README.md CHANGED
@@ -35,7 +35,10 @@ metrics:
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  ![image info](./plots.png)
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- 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, ...).
 
 
 
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  ## Setup
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@@ -50,7 +53,7 @@ You can run the smashed model with these steps:
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  - Option 1 - Use command line interface (CLI):
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  ```bash
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  mkdir hakurei-waifu-diffusion-turbo-green-smashed
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- huggingface-cli download PrunaAI/hakurei-waifu-diffusion-turbo-green-smashed --local-dir hakurei-waifu-diffusion --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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  ## License
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- We follow the same license as the original model. Please check the license of the original model ORIGINAL_hakurei-waifu-diffusion-turbo-green-smashed before using this model.
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  ## Want to compress other models?
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  ![image info](./plots.png)
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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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  ## Setup
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  - Option 1 - Use command line interface (CLI):
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  ```bash
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  mkdir hakurei-waifu-diffusion-turbo-green-smashed
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+ huggingface-cli download PrunaAI/hakurei-waifu-diffusion-turbo-green-smashed --local-dir hakurei-waifu-diffusion-turbo-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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  ## License
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+ We follow the same license as the original model. Please check the license of the original model hakurei/waifu-diffusion before using this model.
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  ## Want to compress other models?
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plots.png CHANGED