offer training class to easily train model off an image directory

setup.py

@@ -3,7 +3,7 @@ from setuptools import setup, find_packages
 setup(
   name = 'denoising-diffusion-pytorch',
   packages = find_packages(),
-  version = '0.0.2',
+  version = '0.1.0',
   license='MIT',
   description = 'Denoising Diffusion Probabilistic Models - Pytorch',
   author = 'Phil Wang',
@@ -16,7 +16,9 @@ setup(
   install_requires=[
     'einops',
     'numpy',
+    'pillow',
     'torch',
+    'torchvision',
     'tqdm'
   ],
   classifiers=[