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Add subsampling to output_prev (output_prev_subsampled now)

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This commit is contained in:
Jedrzej Kosinski 2025-08-20 14:46:54 -07:00
parent 7f0380f8a1
commit 129ad27062
1 changed files with 11 additions and 11 deletions
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22
comfy_extras/nodes_easycache.py
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@ -25,9 +25,9 @@ def easycache_forward_wrapper(executor, *args, **kwargs):
if easycache.initial_step:
easycache.first_cond_uuid = transformer_options["uuids"][0]
easycache.initial_step = False
if easycache.has_x_prev():
if easycache.has_x_prev_subsampled():
input_change = (easycache.subsample(x, clone=False) - easycache.x_prev_subsampled).flatten().abs().mean()
if easycache.has_output_prev() and easycache.has_relative_transformation_rate():
if easycache.has_output_prev_norm() and easycache.has_relative_transformation_rate():
output_prev_norm = easycache.output_prev_norm
approx_output_change_rate = (easycache.relative_transformation_rate * input_change) / output_prev_norm
easycache.cumulative_change_rate += approx_output_change_rate
@ -40,8 +40,8 @@ def easycache_forward_wrapper(executor, *args, **kwargs):
easycache.cumulative_change_rate = 0.0
output: torch.Tensor = executor(*args, **kwargs)
if easycache.has_output_prev():
output_change = (output - easycache.output_prev).flatten().abs().mean()
if easycache.has_output_prev_norm():
output_change = (easycache.subsample(output, clone=False) - easycache.output_prev_subsampled).flatten().abs().mean()
if output_prev_norm is None:
output_prev_norm = easycache.output_prev_norm
output_change_rate = output_change / output_prev_norm
@ -57,7 +57,7 @@ def easycache_forward_wrapper(executor, *args, **kwargs):
easycache.x_prev_subsampled = easycache.subsample(next_x_prev)
logging.info(f"easycache_wrapper: x_prev_subsampled: {easycache.x_prev_subsampled.shape}")
easycache.output_prev_norm = output.flatten().abs().mean()
easycache.output_prev = output.clone()
easycache.output_prev_subsampled = easycache.subsample(output)
return output
def easycache_calc_cond_batch_wrapper(executor, *args, **kwargs):
@ -100,7 +100,7 @@ class EasyCacheHolder:
# cache values
self.first_cond_uuid = None
self.x_prev_subsampled = None
self.output_prev = None
self.output_prev_subsampled = None
self.output_prev_norm = None
self.cache_diff = None
self.output_change_rates = []
@ -112,11 +112,11 @@ class EasyCacheHolder:
def should_do_easycache(self, timestep: float) -> bool:
return (timestep[0] <= self.start_t).item()
def has_x_prev(self) -> bool:
def has_x_prev_subsampled(self) -> bool:
return self.x_prev_subsampled is not None
def has_output_prev(self) -> bool:
return self.output_prev is not None
def has_output_prev_subsampled(self) -> bool:
return self.output_prev_subsampled is not None
def has_output_prev_norm(self) -> bool:
return self.output_prev_norm is not None
@ -157,8 +157,8 @@ class EasyCacheHolder:
self.first_cond_uuid = None
del self.x_prev_subsampled
self.x_prev_subsampled = None
del self.output_prev
self.output_prev = None
del self.output_prev_subsampled
self.output_prev_subsampled = None
del self.output_prev_norm
self.output_prev_norm = None
del self.cache_diff