nodes/banodoco-steerable-motion
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This commit is contained in:
peteromallet
2024-04-17 21:27:26 +02:00
parent c0be5dcf90
commit ec187b754c
1 changed files with 7 additions and 6 deletions
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SteerableMotion.py
+7 -6
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@@ -52,11 +52,12 @@ class BatchCreativeInterpolationNode:
CATEGORY = "Steerable-Motion"
def combined_function(self,positive,negative,images,model,ipadapter,clip_vision,
type_of_frame_distribution,linear_frame_distribution_value, dynamic_frame_distribution_values,
type_of_key_frame_influence,linear_key_frame_influence_value,
type_of_frame_distribution,linear_frame_distribution_value,
dynamic_frame_distribution_values, type_of_key_frame_influence,linear_key_frame_influence_value,
dynamic_key_frame_influence_values,type_of_strength_distribution,
linear_strength_value,dynamic_strength_values,
buffer, high_detail_mode,base_ipa_advanced_settings=None,detail_ipa_advanced_settings=None):
buffer, high_detail_mode,base_ipa_advanced_settings=None,
detail_ipa_advanced_settings=None):
def get_keyframe_positions(type_of_frame_distribution, dynamic_frame_distribution_values, images, linear_frame_distribution_value):
if type_of_frame_distribution == "dynamic":
@@ -462,7 +463,7 @@ class BatchCreativeInterpolationNode:
frame_numbers = np.concatenate([first_half_frame_numbers, second_half_frame_numbers])
# PROCESS WEIGHTS
ipa_frame_numbers, ipa_weights = process_weights(frame_numbers, weights, 1.0)
ipa_frame_numbers, ipa_weights = process_weights(frame_numbers, weights, base_ipa_advanced_settings["ipa_weight"])
prepare_for_clip_vision = PrepImageForClipVisionImport()
prepped_image, = prepare_for_clip_vision.prep_image(image=image.unsqueeze(0), interpolation="LANCZOS", crop_position="pad", sharpening=0.1)
@@ -480,7 +481,7 @@ class BatchCreativeInterpolationNode:
negative_noise = None
ipadapter_application = IPAdapterBatchImport()
model, = ipadapter_application.apply_ipadapter(model=model, ipadapter=ipadapter, image=prepped_image, weight=weight_batch*base_ipa_advanced_settings["ipa_weight"], weight_type=base_ipa_advanced_settings["ipa_weight_type"], start_at=base_ipa_advanced_settings["ipa_starts_at"], end_at=base_ipa_advanced_settings["ipa_ends_at"], clip_vision=clip_vision,image_negative=negative_noise,embeds_scaling=base_ipa_advanced_settings["ipa_embeds_scaling"])
model, = ipadapter_application.apply_ipadapter(model=model, ipadapter=ipadapter, image=prepped_image, weight=weight_batch, weight_type=base_ipa_advanced_settings["ipa_weight_type"], start_at=base_ipa_advanced_settings["ipa_starts_at"], end_at=base_ipa_advanced_settings["ipa_ends_at"], clip_vision=clip_vision,image_negative=negative_noise,embeds_scaling=base_ipa_advanced_settings["ipa_embeds_scaling"])
if high_detail_mode:
if detail_ipa_advanced_settings["ipa_noise_strength"] > 0:
@@ -494,7 +495,7 @@ class BatchCreativeInterpolationNode:
negative_noise = None
tiled_ipa_application = IPAdapterTiledBatchImport()
model, *_ = tiled_ipa_application.apply_tiled(model=model, ipadapter=ipadapter, image=image.unsqueeze(0), weight=weight_batch*base_ipa_advanced_settings["ipa_weight"], weight_type=detail_ipa_advanced_settings["ipa_weight_type"], start_at=detail_ipa_advanced_settings["ipa_starts_at"], end_at=detail_ipa_advanced_settings["ipa_ends_at"], clip_vision=clip_vision,sharpening=0.1,image_negative=negative_noise,embeds_scaling=detail_ipa_advanced_settings["ipa_embeds_scaling"])
model, *_ = tiled_ipa_application.apply_tiled(model=model, ipadapter=ipadapter, image=image.unsqueeze(0), weight=weight_batch, weight_type=detail_ipa_advanced_settings["ipa_weight_type"], start_at=detail_ipa_advanced_settings["ipa_starts_at"], end_at=detail_ipa_advanced_settings["ipa_ends_at"], clip_vision=clip_vision,sharpening=0.1,image_negative=negative_noise,embeds_scaling=detail_ipa_advanced_settings["ipa_embeds_scaling"])
all_ipa_frame_numbers.append(ipa_frame_numbers)
all_ipa_weights.append(ipa_weights)