nodes/banodoco-steerable-motion
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Adding soft scaled weights

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peter942
2023-11-13 19:18:00 +01:00
parent 66fb907c06
commit da00cff4c4
2 changed files with 5 additions and 4 deletions
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README.md
+1 -1
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@@ -12,7 +12,7 @@ This a ComfyUI node for batch creative interpolation. The goal is to allow you t
Here's a workflow to get started with: https://banodoco.s3.amazonaws.com/creative_interpolation_example.json
You'll need to drop the input images into the 'creative_interpolation_input' folder.
You'll need to drop the input images into the 'creative_interpolation_input' folder in numerical order - 0.png, 1.png, etc.
The main settings are:
control/nodes.py
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@@ -164,7 +164,8 @@ class BatchCreativeInterpolationNode:
"images": ("IMAGE", ),
"frames_per_keyframe": ("INT", {"default": 16, "min": 4, "max": 64, "step": 1}),
"length_of_key_frame_influence": ("FLOAT", {"default": 1.1, "min": 0.0, "max": 2.0, "step": 0.001}),
"cn_strength": ("FLOAT", {"default": 0.9, "min": 0.0, "max": 1.0, "step": 0.01}),
"cn_strength": ("FLOAT", {"default": 0.9, "min": 0.0, "max": 1.0, "step": 0.01}),
"soft_scaled_cn_weights_multipler": ("FLOAT", {"default": 0.85, "min": 0.0, "max": 10.0, "step": 0.01}),
"interpolation": (["ease-in", "ease-out", "ease-in-out"],),
},
"optional": {
@@ -177,7 +178,7 @@ class BatchCreativeInterpolationNode:
CATEGORY = "ComfyUI-AnimateDiff-Creative-Interpolation 🎞️🅟🅞🅜/Batch"
def combined_function(self, positive, negative, control_net_name, images, length_of_key_frame_influence,cn_strength,frames_per_keyframe,interpolation):
def combined_function(self, positive, negative, control_net_name, images, length_of_key_frame_influence,cn_strength,frames_per_keyframe,soft_scaled_cn_weights_multipler,interpolation):
def calculate_keyframe_peaks_and_influence(frames_per_keyframe, number_of_keyframes, length_of_influence, new_influence_range=(0,4)):
number_of_frames = frames_per_keyframe * number_of_keyframes
@@ -248,7 +249,7 @@ class BatchCreativeInterpolationNode:
latent_keyframe, = latent_keyframe_interpolation_node.load_keyframe(batch_index_from, strength_from, batch_index_to_excl, strength_to, interpolation,return_at_midpoint)
scaled_soft_control_net_weights = ScaledSoftControlNetWeights()
control_net_weights, _ = scaled_soft_control_net_weights.load_weights(0.85, False)
control_net_weights, _ = scaled_soft_control_net_weights.load_weights(soft_scaled_cn_weights_multipler, False)
timestep_keyframe_node = TimestepKeyframeNode()
timestep_keyframe, = timestep_keyframe_node.load_keyframe(