Workflows • June 2, 2026
LoRA + IPAdapter Stack: The 95 Percent Consistency Recipe
LoRA alone caps near 85 percent identity match. Stack IPAdapter FaceID v2 on top and you cross 95. The exact node graph and the failures to avoid.
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LoRA alone caps near 85 percent identity match. Stack IPAdapter FaceID v2 on top and you cross 95. The exact node graph and the failures to avoid.
Build a controlled IPAdapter FaceID weight test with fixed references and seeds, an explicit image count, a rejection ledger, and no invented benchmark.