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 → image-to-image → 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.
Figures & tables
Figure 1: Current Powerful MLLMs fail to generate Minecraft skin from character concept.
Figure 2: Overview of BLOCK.
Figure 3: Stage-1 Mode-I input anchors (B/C) and a prompt excerpt (Gemini Nano Banana Pro).
Figure 4: Example 1, A beginning scenario.
Figure 5: Example 2, A considerably more difficult scenario involving many fine-grained details.
Figure 6: Example 3, The most difficult case study, where the preview from Stage-1 fails to correctly compress the details from character concept.
Appendix figures & tables1 asset
Supplementary material from the paper’s appendix.
Appendix
Figure 7: Layout reference (left) and pose anchor (right).
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