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        "## FLUX Redux + ControlNet \u2014 style + composition (v2)\n\nv2 changes vs v1: portrait pre-pass (any input \u2192 exact **896x1152** fill/crop, so depth map ==\nlatent, zero padding), saved input crops + depth maps for auditing, steps 32, and a bypassed\n**HIRES** group (1.5x latent upscale \u2192 second pass at denoise 0.30 with Redux conditioning\ncarried, ControlNet released \u2014 enable for ~1344x1728 finals; keeps aesthetic, adds detail).\n\nModels & knobs: unchanged from v1 (see `flux-redux-style-composition.json` notes). Redux **multiply 0.35** \u2014 NEVER attn_bias with a ControlNet: its attention mask never reaches\nthe CN branch (code-verified), so base and CN fight and bodies deform. Union-Pro-2.0 depth\n0.7 / end 0.8 (drop end to 0.6 for more freedom), FluxGuidance **3.0** (sweep-validated; 2.5 softer/filmic, 3.5 punchier), euler/simple/32/CFG 1.\nBypassed groups: CANNY stack (0.35), ReduxAdvanced alt, turbo fast-preview, HIRES.\n\n**Optimal inputs** (both refs): 3:4 portrait, 1152x1536, sRGB 8-bit JPEG q90+/PNG, no\nwatermarks/text/borders, EXIF baked. Style ref: keep the style-defining content in the vertical\nmiddle (sigclip center-crops to a square \u2014 top/bottom ~12% are discarded). Composition ref:\nclear fg/bg depth separation. Any other input still works \u2014 the pre-pass normalizes to 896x1152\n(fill/crop) and the exact crop + depth map are saved next to the outputs for auditing."
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