Method weights

IPAdapterPlus.py:1655–1780

(self, weights='', timing='custom', frames=0, start_frame=0, end_frame=9999, add_starting_frames=0, add_ending_frames=0, method='full batch', weights_strategy=None, image=None)

    CATEGORY = "ipadapter/weights"

    def weights(self, weights='', timing='custom', frames=0, start_frame=0, end_frame=9999, add_starting_frames=0, add_ending_frames=0, method='full batch', weights_strategy=None, image=None):
        import random

        frame_count = image.shape[0] if image is not None else 0
        if weights_strategy is not None:
            weights = weights_strategy["weights"]
            timing = weights_strategy["timing"]
            frames = weights_strategy["frames"]
            start_frame = weights_strategy["start_frame"]
            end_frame = weights_strategy["end_frame"]
            add_starting_frames = weights_strategy["add_starting_frames"]
            add_ending_frames = weights_strategy["add_ending_frames"]
            method = weights_strategy["method"]
            frame_count = weights_strategy["frame_count"]
        else:
            weights_strategy = {
                "weights": weights,
                "timing": timing,
                "frames": frames,
                "start_frame": start_frame,
                "end_frame": end_frame,
                "add_starting_frames": add_starting_frames,
                "add_ending_frames": add_ending_frames,
                "method": method,
                "frame_count": frame_count,
            }

        # convert the string to a list of floats separated by commas or newlines
        weights = weights.replace("\n", ",")
        weights = [float(weight) for weight in weights.split(",") if weight.strip() != ""]

        if timing != "custom":
            frames = max(frames, 2)
            start = 0.0
            end = 1.0

            if len(weights) > 0:
                start = weights[0]
                end = weights[-1]

            weights = []

            end_frame = min(end_frame, frames)
            duration = end_frame - start_frame
            if start_frame > 0:
                weights.extend([start] * start_frame)

            for i in range(duration):
                n = duration - 1
                if timing == "linear":
                    weights.append(start + (end - start) * i / n)
                elif timing == "ease_in_out":
                    weights.append(start + (end - start) * (1 - math.cos(i / n * math.pi)) / 2)
                elif timing == "ease_in":
                    weights.append(start + (end - start) * math.sin(i / n * math.pi / 2))
                elif timing == "ease_out":
                    weights.append(start + (end - start) * (1 - math.cos(i / n * math.pi / 2)))
                elif timing == "random":