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Prompt Cocktail Recipe Released: Windows Image Prompt Assembly Tool for Blending Characters and Styles

Japanese AI developer nemhiyo has released Prompt Cocktail Recipe, a Windows desktop tool that extracts characters, outfits, poses, compositions, and art styles

tau · October 8, 2026

#Prompt-Engineering #AI-Illustration #Windows-Tool #Local-Vision #Booth

Japanese AI illustration creator and developer nemhiyo (@nemhiyo / Nempro) has officially released "Prompt Cocktail Recipe" (プロンプトカクテルレシピ / Prompt Cocktail Recipe), a dedicated Windows desktop application designed to extract visual elements from multiple reference images and blend them into a unified image generation prompt.

Creators working with generative AI image models frequently encounter friction when trying to synthesize specific features from different visual references—such as borrowing a character's hairstyle from one image, costume details from a second, and the camera framing or lighting style from a third. Relying purely on unstructured comma-separated keywords or basic translation utilities often results in element bleeding and uneven prompt weighting. Prompt Cocktail Recipe addresses this bottleneck by offering a structured workflow that deconstructs multiple reference images into modular "ingredients" and shakes them together into a coherent prompt payload.

A 'Cocktail' Workflow: Extracting and Blending Visual Elements Across Multiple Images

The core concept of Prompt Cocktail Recipe revolves around treating individual visual characteristics like mixable cocktail components.

  • Multi-Attribute Visual Extraction: Rather than parsing an entire image as a flat description, the tool isolates key attributes including character identity, outfits, body poses, scene composition, and artistic styles from user-loaded reference images.
  • Unified Prompt Assembly: Users can select desired elements extracted across various source images and merge them into a single, cohesive text prompt. This enables creators to combine a specific wardrobe design from one reference with the pose, camera angle, or art style of another without manual copy-pasting.
  • Dedicated Desktop Workspace: Built specifically as a local Windows application, the tool offers a responsive desktop interface that keeps prompt building and reference inspection in one place without reliance on external web interfaces.

The developer, nemhiyo, previously created "The Prompt BAR"—a Windows prompt workbench integrating local LLMs (via LM Studio) and Danbooru tag engines—and has consistently focused on building practical utilities tailored to AI illustration workflows. Prompt Cocktail Recipe continues this focus by streamlining the iterative task of converting visual references into structured text cues.

Multi-Character Section Editing, Prompt Weighting, and Local Vision Integration

To handle more complex illustration prompts, Prompt Cocktail Recipe incorporates advanced structural features tailored for multi-subject and offline workflows.

  • Multi-Character Section Editing: When composing scenes with two or more subjects, the application provides separate section-based editing. This structural partitioning prevents common prompt leakage issues where character traits, facial features, and clothing colors bleed into one another.
  • Prompt Weighting and Emphasis Controls: Creators can adjust the relative importance of specific costume details or stylistic cues through built-in emphasis formatting, ensuring that target attributes are accurately represented during generation.
  • Local Vision Model Analysis: The tool supports integration with local Vision models, allowing users to analyze image attributes and extract descriptive tags entirely on-device without sending image data to external cloud APIs.

The local Vision capability is particularly beneficial for privacy-conscious creators and artists working with private reference materials, offering rapid local automated tagging and offline attribute extraction.

Distribution Channels, Access Tiers, and Technical Considerations

Prompt Cocktail Recipe is currently available through Japanese digital creator channels and membership tiers.

  • Booth Marketplace: The application is distributed as a commercial purchase via nemhiyo's official nempro shop on Booth (nempro.booth.pm/items/8936560).
  • note Membership Access: Subscribers to nemhiyo's note membership program (note.com/nemhiyo) receive direct download access to the tool as part of their active subscription.
  • Packaging and Execution: The utility is packaged as a standalone Windows program, enabling quick local deployment.

Prospective users should consider a few technical boundaries before integrating the tool into their workflow:

  1. Windows Platform Exclusivity: The tool is developed and compiled exclusively for Windows systems; compatibility with macOS or Linux is not currently documented.
  2. Local Vision Hardware Demands: Running on-device Vision analysis requires sufficient local hardware resources (GPU compute and VRAM) and an appropriate local inference environment.
  3. Commercial Licensing: The utility is a commercial product distributed via paid Booth purchase or note subscription, rather than a free open-source repository.

For Windows-based AI artists seeking a disciplined way to combine diverse reference images and manage multi-character scenes, Prompt Cocktail Recipe offers a focused desktop environment for prompt synthesis.

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