BLOCK: An Open-Source Bi-Stage MLLM Character-to-Skin Pipeline for Minecraft
Abstract
BLOCK is an open-source pipeline that generates Minecraft skins from character concepts through a two-stage process involving 3D preview synthesis with a multimodal model and skin decoding with a fine-tuned diffusion model, enhanced by a progressive LoRA training approach.
We present BLOCK, an open-source bi-stage character-to-skin pipeline that generates pixel-perfect Minecraft skins from arbitrary character concepts. BLOCK decomposes the problem into (i) a 3D preview synthesis stage driven by a large multimodal model (MLLM) with a carefully designed prompt-and-reference template, producing a consistent dual-panel (front/back) oblique-view Minecraft-style preview; and (ii) a skin decoding stage based on a fine-tuned FLUX.2 model that translates the preview into a skin atlas image. We further propose EvolveLoRA, a progressive LoRA curriculum (text-to-image rightarrow image-to-image rightarrow preview-to-skin) that initializes each phase from the previous adapter to improve stability and efficiency. BLOCK is released with all prompt templates and fine-tuned weights to support reproducible character-to-skin generation.
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