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@@ -23,15 +23,17 @@ Use the tokens **_ghibli style_** in your prompts for the effect.
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  ![Misc. Samples](https://huggingface.co/nitrosocke/Ghibli-Diffusion/resolve/main/images/ghibli-diffusion-samples-02s.jpg)
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  **Landscapes rendered with the model:**
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  ![Landscape 1](https://huggingface.co/nitrosocke/Ghibli-Diffusion/resolve/main/images/ghibli-diffusion-samples-03s.jpg)
 
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  ![Landscape 2](https://huggingface.co/nitrosocke/Ghibli-Diffusion/resolve/main/images/ghibli-diffusion-samples-04s.jpg)
 
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- #### Prompt and settings for Tony Stark:
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- **(redshift style) robert downey jr as ironman Negative prompt: glasses helmet**
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- _Steps: 40, Sampler: DPM2 Karras, CFG scale: 7, Seed: 908018284, Size: 512x704_
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- #### Prompt and settings for the Ford Mustang:
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- **redshift style Ford Mustang**
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- _Steps: 20, Sampler: DPM2 Karras, CFG scale: 7, Seed: 579593863, Size: 704x512_
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  This model was trained using the diffusers based dreambooth training by ShivamShrirao using prior-preservation loss and the _train-text-encoder_ flag in 15.000 steps.
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  ![Misc. Samples](https://huggingface.co/nitrosocke/Ghibli-Diffusion/resolve/main/images/ghibli-diffusion-samples-02s.jpg)
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  **Landscapes rendered with the model:**
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  ![Landscape 1](https://huggingface.co/nitrosocke/Ghibli-Diffusion/resolve/main/images/ghibli-diffusion-samples-03s.jpg)
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+ _ghibli style beautiful Caribbean beach tropical (sunset) - Negative prompt: soft blurry_
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  ![Landscape 2](https://huggingface.co/nitrosocke/Ghibli-Diffusion/resolve/main/images/ghibli-diffusion-samples-04s.jpg)
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+ _ghibli style ice field white mountains ((northern lights)) starry sky low horizon - Negative prompt: soft blurry_
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+ #### Prompt and settings for the Strom Trooper:
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+ **ghibli style (storm trooper) Negative prompt: (bad anatomy)**
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+ _Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 3450349066, Size: 512x704_
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+ #### Prompt and settings for the VW Beetle:
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+ **ghibli style VW beetle Negative prompt: soft blurry**
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+ _Steps: 30, Sampler: Euler a, CFG scale: 7, Seed: 1529856912, Size: 704x512_
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  This model was trained using the diffusers based dreambooth training by ShivamShrirao using prior-preservation loss and the _train-text-encoder_ flag in 15.000 steps.
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