--- library_name: diffusers pipeline_tag: image-to-image base_model: black-forest-labs/FLUX.2-klein-base-9B tags: - minecraft - img2img - skin-generation - flux2 --- # BLOCKv0.5 BLOCKv0.5 is an image-to-image model for converting a **3D Minecraft character preview** into a **2D skin texture file**. It is based on `black-forest-labs/FLUX.2-klein-base-9B` with merged LoRA weights and was trained with **[cond, target]** token order. For best results, use the included custom pipeline: `Flux2KleinPipelineTrainOrder`. ## What This Model Does - Input: a character preview image (RGB, square recommended) - Optional control: text prompt for style/details - Output: a generated skin texture image (PNG) ## Quick Start ```python import torch from PIL import Image from pipeline_flux2_klein_train_order import Flux2KleinPipelineTrainOrder model_id = "your-username/BLOCKv0.5" # or local path pipe = Flux2KleinPipelineTrainOrder.from_pretrained( model_id, torch_dtype=torch.bfloat16, ) pipe.to("cuda") preview = Image.open("examples/ex1_preview.png").convert("RGB").resize((1024, 1024)) result = pipe( prompt="clean minecraft skin texture, readable details, game-ready layout", image=preview, num_inference_steps=30, guidance_scale=4.0, ).images[0] result.save("generated_skin.png") ``` ## Example Results | Preview | Generated Skin | |---|---| | ![ex1 preview](examples/ex1_preview.png) | ![ex1 skin](examples/ex1_skin.png) | | ![ex2 preview](examples/ex2_preview.png) | ![ex2 skin](examples/ex2_skin.png) | | ![ex3 preview](examples/ex3_preview.png) | ![ex3 skin](examples/ex3_skin.png) | ## Notes - This checkpoint is designed for img2img skin generation, not general text-to-image generation. - The included custom pipeline matches the training token order and is recommended for inference. - The model is large; use a high-memory GPU for practical inference speed. ## Citation If you use BLOCKv0.5 or results derived from this model, please cite: ```bibtex @article{guo2026block, title={BLOCK: An Open-Source Bi-Stage MLLM Character-to-Skin Pipeline for Minecraft}, author={Guo, Hengquan}, journal={arXiv preprint arXiv:2603.03964}, year={2026}, url={http://arxiv.org/abs/2603.03964} } ``` ## Dependencies - diffusers - transformers - torch - safetensors