thorny pattern

Created with JWildfire [link]
One of my best which I have made with this program!
I very appreciate it


The params which you can copy with Apo too:
<flame version="JWildfire 0.71 (02.06.2013)" size="771 578" center="0.0 0.0028459821428571284" scale="156.33821449632504" rotate="0.0" filter="0.0" filter_kernel="GAUSSIAN" quality="100.0" background="0.0 0.0 0.0" bg_transparency="0" brightness="8.68" gamma="2.3" gamma_threshold="0.01" vibrancy="1.0" contrast="1.0" estimator_enabled="0" estimator_radius="0.7" estimator_minimum="0.0" estimator_curve="0.36" estimator_kernel="GAUSSIAN" temporal_samples="1.0" cam_zoom="1.0" cam_pitch="0.0" cam_yaw="0.0" cam_persp="0.0" cam_xfocus="0.0" cam_yfocus="0.0" cam_zfocus="0.0" cam_zpos="0.0" cam_dof="0.0" cam_dof_area="0.5" cam_dof_exponent="2.0" shading_shading="FLAT" >
<xform weight="1.0" color="0.37" symmetry="0.0" antialias_amount="0.75" antialias_radius="0.36" ztranslate="0.19" pre_blur="0.23" hyperbolic="0.11" coefs="-1.05 -1.285879139104721E-16 1.285879139104721E-16 -1.05 -4.85722573273506E-17 1.3877787807814457E-16" post="-1.0 1.2246467991473532E-16 -1.2246467991473532E-16 -1.0 0.0 0.0" chaos="1.0 1.0" />
<xform weight="6.15" color="0.0" symmetry="0.64" antialias_amount="0.75" antialias_radius="0.36" eJulia="0.28" eJulia_power="-2" coefs="-2.232848757609154E-16 -1.2155062500000002 1.2155062500000002 -2.232848757609154E-16 -0.24113475177304944 0.11383928571428581" post="1.2155062500000002 -2.9771316768122056E-16 2.9771316768122056E-16 1.2155062500000002 0.0 0.0" chaos="1.0 1.0" />
<finalxform weight="0.0" color="0.32" symmetry="0.32" antialias_amount="0.75" antialias_radius="0.36" julia3D="2.43" julia3D_power="2" coefs="1.0 0.0 0.0 1.0 0.0 0.0" chaos="1.0 1.0" />
<palette count="256" format="RGB" >
9C9E929F988FA2938DA48D8AA78888AA8285AD7D82B07780B3727DB56C7AB86778BB6175
BE5B73C15670C3506DC64B6BC94568CC4066CF3A63D13560D42F5ED72A5BDA2458DD1E56
E01953E21351E4124EE5164CE61A49E71E47E82344E92742EB2B3FEC2F3DED333AEE3838
EF3C35F04033F14430F2492EF34D2BF45129F55526F65924F75E21F8621FF9661CFA6A1A
FB6F17FC7315FD7712FE7B10FE7811FD7313FC6F16FC6A18FB651AFA601DFA5C1FF95722
F95224F84D26F74929F7442BF63F2EF53A30F53532F43135F42C37F32739F2223CF21E3E
F11941F01443F00F45EF0B48EF064AEE034CEF084BEF0E4AF01349F11847F11E46F22345
F32844F32E43F43342F53841F53E40F6433FF7483EF74D3CF8533BF9583AF95D39FA6338
FB6837FB6D36FC7335FD7834FD7D33FE8332FF8830FA8C32F29036EA943AE2983ED99B42
D19F46C9A34AC1A74EB9AA52B1AE56A8B259A0B65D98B96190BD6588C16980C56D77C871
6FCC7567D0795FD47D57D7804FDB8446DF883EE38C36E6902EEA9430E78E32E38934E083
36DD7E38D9783AD6723CD36D3ECF6740CC6242C95C44C55746C25148BF4B4ABC464CB840
4FB53B51B23553AE2F55AB2A57A82459A41F5BA1195D9E145F9A0E6197086196095F9712
5C991B5A9B24589D2E559E3753A04051A2494EA3524CA55C4AA76547A96E45AA7743AC81
40AE8A3EAF933CB19C39B3A537B5AF35B6B832B8C130BACA2EBCD42BBDDD29BFE626C1EF
2ABDEB30B8E435B2DC3BADD540A8CD45A2C64B9DBF5098B75693B05B8DA86188A1668399
6C7E9271788B7673837C6E7C81687487636D8C5E6592595E9753579C4E4FA24948A74340
AD3E39B03A34AC3C3AA83E40A440479F414D9B435397455993475F8E48658A4A6B864C71
824E777E4F7D79518375538A7155906D569668589C645AA2605CA85C5EAE585FB45361BA
4F63C04B65C64766CD456ACB4470C54475BE437BB84380B14286AA428BA441919D419697
419C9040A18A40A7833FAC7D3FB2763EB7703EBD693DC2633DC85C3CCD563CD34F3BD849
3BDE423AE33C3AE93539EE2F</palette>
</flame>