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when using diffusion_sampling_mode = 'plms' everything works when using diffusion_sampling_mode = 'ddim' i get error below :
TypeError Traceback (most recent call last) Input In [27], in <cell line: 217>() 216 torch.cuda.empty_cache() 217 try: --> 218 do_run() 219 except KeyboardInterrupt: 220 pass
Input In [5], in do_run() 648 init = regen_perlin() 650 if args.diffusion_sampling_mode == 'ddim': --> 651 samples = sample_fn( 652 model, 653 (batch_size, 3, args.side_y, args.side_x), 654 clip_denoised=clip_denoised, 655 model_kwargs={}, 656 cond_fn=cond_fn, 657 progress=True, 658 skip_timesteps=skip_steps, 659 init_image=init, 660 randomize_class=randomize_class, 661 eta=eta, 662 transformation_fn=symmetry_transformation_fn, 663 transformation_percent=args.transformation_percent 664 ) 665 else: 666 samples = sample_fn( 667 model, 668 (batch_size, 3, args.side_y, args.side_x), (...) 676 order=2, 677 )
TypeError: ddim_sample_loop_progressive() got an unexpected keyword argument 'transformation_fn'
The text was updated successfully, but these errors were encountered:
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when using diffusion_sampling_mode = 'plms' everything works
when using diffusion_sampling_mode = 'ddim' i get error below :
TypeError Traceback (most recent call last)
Input In [27], in <cell line: 217>()
216 torch.cuda.empty_cache()
217 try:
--> 218 do_run()
219 except KeyboardInterrupt:
220 pass
Input In [5], in do_run()
648 init = regen_perlin()
650 if args.diffusion_sampling_mode == 'ddim':
--> 651 samples = sample_fn(
652 model,
653 (batch_size, 3, args.side_y, args.side_x),
654 clip_denoised=clip_denoised,
655 model_kwargs={},
656 cond_fn=cond_fn,
657 progress=True,
658 skip_timesteps=skip_steps,
659 init_image=init,
660 randomize_class=randomize_class,
661 eta=eta,
662 transformation_fn=symmetry_transformation_fn,
663 transformation_percent=args.transformation_percent
664 )
665 else:
666 samples = sample_fn(
667 model,
668 (batch_size, 3, args.side_y, args.side_x),
(...)
676 order=2,
677 )
TypeError: ddim_sample_loop_progressive() got an unexpected keyword argument 'transformation_fn'
The text was updated successfully, but these errors were encountered: