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BLK-Assist: A Methodological Framework for Artist-Led Co-Creation with Generative AI Models

Daniel Grimes, Rachel M. Harrison

Abstract

This paper presents BLK-Assist, a modular framework for artist-specific fine-tuning of diffusion models using parameter-efficient methods. The system is implemented as a case study with a single professional artist's proprietary corpus and consists of three components: BLK-Conceptor (LoRA-adapted conceptual sketch generation), BLK-Stencil (LayerDiffuse-based transparency-preserving asset generation), and BLK-Upscale (hybrid Real-ESRGAN and texture-conditioned diffusion for high-resolution outputs). We document dataset composition, preprocessing, training configurations, and inference workflows to enable reproducibility with publicly available models to illustrate a privacy-preserving, consent-based approach to human-AI co-creation that maintains stylistic fidelity to the source corpus and can be adapted for other artists under similar constraints.

BLK-Assist: A Methodological Framework for Artist-Led Co-Creation with Generative AI Models

Abstract

This paper presents BLK-Assist, a modular framework for artist-specific fine-tuning of diffusion models using parameter-efficient methods. The system is implemented as a case study with a single professional artist's proprietary corpus and consists of three components: BLK-Conceptor (LoRA-adapted conceptual sketch generation), BLK-Stencil (LayerDiffuse-based transparency-preserving asset generation), and BLK-Upscale (hybrid Real-ESRGAN and texture-conditioned diffusion for high-resolution outputs). We document dataset composition, preprocessing, training configurations, and inference workflows to enable reproducibility with publicly available models to illustrate a privacy-preserving, consent-based approach to human-AI co-creation that maintains stylistic fidelity to the source corpus and can be adapted for other artists under similar constraints.

Paper Structure

This paper contains 12 sections, 11 figures.

Table of Contents

  1. Introduction
  2. Methodological Framework
  3. BLK-Conceptor
  4. BLK-Stencil
  5. BLK-Upscale
  6. Real-ESRGAN:
  7. Diffusion+Texture LoRA:
  8. Computational Environment
  9. Discussion
  10. Ethical Considerations
  11. Limitations & Future Work
  12. Technical Appendices and Supplementary Material

Figures (11)

  • Figure 1: The Throat Shakra (2025), produced with the BLK-Assist pipeline.
  • Figure 2: Overview of the BLK-Conceptor inference pipeline.
  • Figure 3: Overview of the BLK-Stencil inference pipeline.
  • Figure 4: Overview of the BLK-Upscale Diffusion+Texture LoRA inference pipeline.
  • Figure 5: A before and after example of low-res artwork upscaled with BLK-Upscale.
  • ...and 6 more figures