ax.legend(frameon = False, loc = 2)
- filename = f'diffusion_{args.data}.pdf'
+ filename = f'minidiffusion_{args.data}.pdf'
print(f'saving {filename}')
fig.savefig(filename, bbox_inches='tight')
ax.legend(frameon = False, loc = 2)
- filename = f'diffusion_{args.data}.pdf'
+ filename = f'minidiffusion_{args.data}.pdf'
print(f'saving {filename}')
fig.savefig(filename, bbox_inches='tight')
result = 1 - torch.cat((t, x), 2) / 255
- filename = f'diffusion_{args.data}.png'
+ filename = f'minidiffusion_{args.data}.png'
print(f'saving {filename}')
torchvision.utils.save_image(result, filename)