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Running
on
Zero
Running
on
Zero
File size: 629 Bytes
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from typing import *
class GuidanceIntervalSamplerMixin:
"""
A mixin class for samplers that apply classifier-free guidance with interval.
"""
def _inference_model(self, model, x_t, t, cond, neg_cond, cfg_strength, cfg_interval, **kwargs):
if cfg_interval[0] <= t <= cfg_interval[1]:
pred = super()._inference_model(model, x_t, t, cond, **kwargs)
neg_pred = super()._inference_model(model, x_t, t, neg_cond, **kwargs)
return (1 + cfg_strength) * pred - cfg_strength * neg_pred
else:
return super()._inference_model(model, x_t, t, cond, **kwargs)
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