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Update README.md

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@@ -30,7 +30,7 @@ Next use the following straightforward steps to generate images from the final m
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  ```
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  from micro_diffusion.models.model import create_latent_diffusion
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  model = create_latent_diffusion(latent_res=64, in_channels=4, pos_interp_scale=2.0).to('cuda')
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- model.load_state_dict(torch.load(ckpt_path_on_local_disk))
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  gen_images = model.generate(prompt=['An elegant squirrel pirate on a ship']*4, num_inference_steps=30,
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  guidance_scale=5.0, seed=2024)
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  ```
 
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  ```
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  from micro_diffusion.models.model import create_latent_diffusion
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  model = create_latent_diffusion(latent_res=64, in_channels=4, pos_interp_scale=2.0).to('cuda')
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+ model.dit.load_state_dict(torch.load(ckpt_path_on_local_disk))
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  gen_images = model.generate(prompt=['An elegant squirrel pirate on a ship']*4, num_inference_steps=30,
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  guidance_scale=5.0, seed=2024)
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  ```