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add sample results to readme

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  1. README.md +7 -1
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  This model was trained on a large amount of high quality images with simple prompts to generate beautiful images without a lot of prompt engineering.
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- You can enforce style by prepending your prompt with `estilovintedois` if it is not good enough.
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  It should also be very dreamboothable, being able to generate high fidelity faces with a little amount of steps.
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@@ -26,6 +26,12 @@ You can run this concept via `diffusers` [Colab Notebook for Inference](https://
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  ### Sample results
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  ### Example prompts
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  - Prompt:
 
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  This model was trained on a large amount of high quality images with simple prompts to generate beautiful images without a lot of prompt engineering.
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+ You can enforce style by prepending your prompt with `estilovintedois` if it is not good enough. It also works well with different aspect ratios, such as `2:3` and `3:2`.
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  It should also be very dreamboothable, being able to generate high fidelity faces with a little amount of steps.
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  ### Sample results
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+ <img src="https://huggingface.co/22h/vintedois-diffusion-v0-2/resolve/main/assets/montage-1_resized.jpg" width=768/>
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+ <img src="https://huggingface.co/22h/vintedois-diffusion-v0-2/resolve/main/assets/montage-2_resized.jpg" width=768/>
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+ <img src="https://huggingface.co/22h/vintedois-diffusion-v0-2/resolve/main/assets/montage-3_resized.jpg" width=768/>
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  ### Example prompts
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  - Prompt: