Add scheduled eta and clamp_max #131
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eta evaluation with number of batches
| @@ -1429,7 +1430,7 @@ def cond_fn(x, t, y=None): | |||
| skip_timesteps=skip_steps, | |||
| init_image=init, | |||
| randomize_class=randomize_class, | |||
| eta=eta, | |||
| eta=args.eta[1000-t_int] if type(args.eta) is np.ndarray else args.eta, | |||
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really like this feature, can you provide a screenshot how it looks when this is intergrated?
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Here's the results: https://imgur.com/a/bVGj5Lc
And here's the link to the custom notebook with this feature implemented:
https://colab.research.google.com/drive/173sJy8VmXM8d9mUhjQcnEFr8WckpXIsc?usp=sharing
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Evaluated eta and clamp_max with t_int for further configuration.