Docs: Condense example arrays in skyreels_v2 guide

Improves the readability of the `step_matrix` examples by replacing long sequences of repeated numbers with a more compact `value×count` notation.

This change makes the underlying data patterns in the examples easier to understand at a glance.

Author: tolgacangoz

docs/source/en/api/pipelines/skyreels_v2.md

@@ -110,25 +110,25 @@ Given the parameters: (num_inference_steps=30, flow_shift=8, num_frames=97, ar_s
                    799, 773, 743, 708, 666, 615, 551, 470, 363, 216]
 
 The algorithm creates a 50x25 step_matrix where:
-- Row 1:  [999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999]
-- Row 2:  [995, 995, 995, 995, 995, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999]
-- Row 3:  [991, 991, 991, 991, 991, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999]
+- Row 1:  [999×5, 999×5, 999×5, 999×5, 999×5]
+- Row 2:  [995×5, 999×5, 999×5, 999×5, 999×5]
+- Row 3:  [991×5, 999×5, 999×5, 999×5, 999×5]
 - ...
-- Row 7:  [969, 969, 969, 969, 969, 995, 995, 995, 995, 995, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999, 999]
+- Row 7:  [969×5, 995×5, 999×5, 999×5, 999×5]
 - ...
-- Row 21: [799, 799, 799, 799, 799, 888, 888, 888, 888, 888, 941, 941, 941, 941, 941, 975, 975, 975, 975, 975, 999, 999, 999, 999, 999]
+- Row 21: [799×5, 888×5, 941×5, 975×5, 999×5]
 - ...
-- Row 35: [  0,   0,   0,   0,   0, 216, 216, 216, 216, 216, 666, 666, 666, 666, 666, 822, 822, 822, 822, 822, 901, 901, 901, 901, 901]
+- Row 35: [  0×5, 216×5, 666×5, 822×5, 901×5]
 - ...
-- Row 42: [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0, 551, 551, 551, 551, 551, 773, 773, 773, 773, 773]
+- Row 42: [  0×5,   0×5,   0×5, 551×5, 773×5]
 - ...
-- Row 50: [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0, 216, 216, 216, 216, 216]
+- Row 50: [  0×5,   0×5,   0×5,   0×5, 216×5]
 
 Detailed Row 6 Analysis:
-- step_matrix[5]:       [ 975, 975, 975, 975, 975, 999, 999, 999, 999, 999, 999,  ...,  999]
-- step_index[5]:        [   6,   6,   6,   6,   6,   1,   1,   1,   1,   1,   0,  ...,    0]
-- step_update_mask[5]:  [True,True,True,True,True,True,True,True,True,True,False, ...,False]
-- valid_interval[5]:    (0, 25)
+- step_matrix[5]:      [ 975×5,  999×5,   999×5,   999×5,   999×5]
+- step_index[5]:       [   6×5,    1×5,     0×5,     0×5,     0×5]
+- step_update_mask[5]: [True×5, True×5, False×5, False×5, False×5]
+- valid_interval[5]:   (0, 25)
 
 Key Pattern: Block i lags behind Block i-1 by exactly ar_step=5 timesteps, creating the
 staggered "diffusion forcing" effect where later blocks condition on cleaner earlier blocks.