Update README.md

README.md

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 Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.
 This model card gives an overview of all available model checkpoints. For more in-detail model cards, please have a look at the model repositories listed under [Model Access](#model-access).
 
-** Stable Diffusion V1**
+## Stable Diffusion Version 1
 
-In its first version, 4 model checkpoints are released: **stable-diffusion-v1-1**, **stable-diffusion-v1-2**, **stable-diffusion-v1-3** and **stable-diffusion-v1-4**.
+For Stable Diffusion Version 1, 4 model checkpoints are released: **stable-diffusion-v1-1**, **stable-diffusion-v1-2**, **stable-diffusion-v1-3** and **stable-diffusion-v1-4**.
 *Higher* versions have been trained for longer and are thus usually better in terms of image generation quality then *lower* versions. More specifically: 
 
 - **stable-diffusion-v1-1**: The checkpoint is randomely initialized and has been trained on 237,000 steps at resolution `256x256` on [laion2B-en](https://huggingface.co/datasets/laion/laion2B-en).