Created with JWildfire [link]
One of my best creation which I have made with this program 
I very appreciate it 
The params which you can copy with Apo too:<flame version="JWildfire 0.60 Xmas edition (24.12.2012)" size="1680 1050" center="-0.41734860883797065 0.008537946428571423" scale="96.2456233539358" rotate="0.0" oversample="1" color_oversample="1" filter="0.0" quality="100.0" background="0.0 0.0 0.0" bg_transparency="0" brightness="22.75" gamma="2.75" gamma_threshold="0.04" estimator_radius="9" estimator_minimum="0" estimator_curve="0.4" temporal_samples="1.0" cam_zoom="1.459" cam_pitch="-0.03490658503988659" cam_yaw="0.0" cam_persp="0.0" cam_zpos="0.0" cam_dof="0.0" de_filter_radius="7" de_filter_amount="0.0" shading_shading="FLAT" >
<xform weight="1.85" color="0.37" symmetry="0.0" juliascope="1.97" juliascope_power="-3" juliascope_dist="1.0" coefs="1.0 0.0 0.0 1.0 0.0 0.0" chaos="1.0 1.0 1.0 1.0" />
<xform weight="2.25" color="0.0" symmetry="0.0" julian="7.01" julian_power="2" julian_dist="-1.0" coefs="-0.7071067811865475 0.7071067811865476 -0.7071067811865476 -0.7071067811865475 2.362902345881069 0.6419642857142859" chaos="1.0 1.0 1.0 1.0" />
<xform weight="1.5" color="1.0" symmetry="-0.18" julian="0.73" julian_power="-20" julian_dist="1.0" coefs="1.0 0.0 0.0 1.0 0.0 0.0" chaos="1.0 1.0 1.0 1.0" />
<xform weight="0.5" color="0.0" symmetry="0.0" cloverleaf_wf="0.66" cloverleaf_wf_filled="1" pre_blur="2.38" coefs="1.0 0.0 0.0 1.0 0.0 0.0" chaos="1.0 1.0 1.0 1.0" />
<palette count="256" format="RGB" >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</palette>
</flame>