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Update README.md

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@@ -13,11 +13,16 @@ Here is Class Conditional Diffusion Pipeline and Sampling.
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  <img src="grid_images.gif" alt="Class Conditioned Diffusion GIF">
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  </div>
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- First Run
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  ```bash
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  !pip install git+https://github.com/huggingface/diffusers
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  ```
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-
 
 
 
 
 
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  ```bash
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  from diffusers import UNet2DModel, DDPMScheduler
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  from diffusers.utils.torch_utils import randn_tensor
 
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  <img src="grid_images.gif" alt="Class Conditioned Diffusion GIF">
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  </div>
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+ Firstly install Diffusers
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  ```bash
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  !pip install git+https://github.com/huggingface/diffusers
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  ```
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+ Then login to your huggingface account.
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+ ```bash
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+ from huggingface_hub import notebook_login
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+ notebook_login()
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+ ```
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+ Finally for sampling and model testing. Run these lines of code.
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  ```bash
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  from diffusers import UNet2DModel, DDPMScheduler
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  from diffusers.utils.torch_utils import randn_tensor