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Merge f2f4efc52eec4a99c9c002d326dab3f5558aae2f into 329480da5ab32949a411548f821ea60ab3e90dc7

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omahs 2025-12-07 07:08:51 +01:00 committed by GitHub
commit d7528b2c00
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4 changed files with 5 additions and 5 deletions
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2
comfy/hooks.py
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@ -93,7 +93,7 @@ class Hook:
self.hook_scope = hook_scope
'''Scope of where this hook should apply in terms of the conds used in sampling run.'''
self.custom_should_register = default_should_register
'''Can be overriden with a compatible function to decide if this hook should be registered without the need to override .should_register'''
'''Can be overridden with a compatible function to decide if this hook should be registered without the need to override .should_register'''
@property
def strength(self):

2
comfy/ldm/modules/diffusionmodules/util.py
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@ -140,7 +140,7 @@ def make_ddim_sampling_parameters(alphacums, ddim_timesteps, eta, verbose=True):
alphas = alphacums[ddim_timesteps]
alphas_prev = np.asarray([alphacums[0]] + alphacums[ddim_timesteps[:-1]].tolist())
# according the the formula provided in https://arxiv.org/abs/2010.02502
# according to the formula provided in https://arxiv.org/abs/2010.02502
sigmas = eta * np.sqrt((1 - alphas_prev) / (1 - alphas) * (1 - alphas / alphas_prev))
if verbose:
logging.info(f'Selected alphas for ddim sampler: a_t: {alphas}; a_(t-1): {alphas_prev}')

2
comfy_api/latest/__init__.py
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@ -80,7 +80,7 @@ class ComfyExtension(ABC):
async def on_load(self) -> None:
"""
Called when an extension is loaded.
This should be used to initialize any global resources neeeded by the extension.
This should be used to initialize any global resources needed by the extension.
"""
@abstractmethod

4
comfy_extras/nodes_flux.py
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@ -101,7 +101,7 @@ class FluxDisableGuidance(io.ComfyNode):
append = execute # TODO: remove
PREFERED_KONTEXT_RESOLUTIONS = [
PREFERRED_KONTEXT_RESOLUTIONS = [
(672, 1568),
(688, 1504),
(720, 1456),
@ -142,7 +142,7 @@ class FluxKontextImageScale(io.ComfyNode):
width = image.shape[2]
height = image.shape[1]
aspect_ratio = width / height
_, width, height = min((abs(aspect_ratio - w / h), w, h) for w, h in PREFERED_KONTEXT_RESOLUTIONS)
_, width, height = min((abs(aspect_ratio - w / h), w, h) for w, h in PREFERRED_KONTEXT_RESOLUTIONS)
image = comfy.utils.common_upscale(image.movedim(-1, 1), width, height, "lanczos", "center").movedim(1, -1)
return io.NodeOutput(image)