HANASEE-image-1.0
2026-04-24 01:42:43

Xross Road Unveils Its New Image Generation Model HANASEE-image-1.0 for Manga Creation

Introduction to HANASEE-image-1.0



In an innovative move within the world of content creation, Xross Road, a project by extra mile Inc., has announced the launch of their latest image generation model, HANASEE-image-1.0. This model is specifically designed for generating images tailored for vertical manga, under the guidance of professional manga artists. The model is set to be available starting April 30, 2026, as part of the closed beta version of the upcoming manga creation platform, HANASEE.

Overview of the HANASEE Platform



The HANASEE platform allows creators to transform ideas and narratives into vertical-reading manga. This platform supports the seamless integration of character design, world-building, and artistic style, enabling users to develop serialized manga that remains consistent throughout the storytelling process. The unique image generation model and creative workflow are central to this experience, making manga creation accessible and streamlined.

Features of HANASEE-image-1.0



1. Consistent Character Representation



A crucial aspect of any manga is the consistency of its characters. HANASEE-image-1.0 has been optimized to maintain character identity—such as hairstyle, facial features, and clothing—across various panels and scenes. This unique optimization allows for continuous visual storytelling, overcoming challenges faced with standard image generation models.

2. Distinctive Artistic Styles



The essence of a creator's style is integral for ongoing serialization. The HANASEE-image-1.0 includes a robust approach to artistic styles, offering consistency within panels while allowing for diverse expression. During its initial release, users can choose from optimized styles like 'refreshing,' 'fluffy,' 'bright,' and 'cute,' as well as 'powerful' and 'cool.' There are plans to include features that enable mixing styles to further enhance creative individuality.

3. Optimal Composition for Vertical Manga



Structuring panels effectively is vital for delivering a compelling vertical manga experience. HANASEE-image-1.0 automatically generates flexible compositions that align with specified panel sizes and narrative requirements, ensuring that the rhythm of the story is effectively conveyed.

How to Utilize HANASEE-image-1.0



The image generation capabilities of HANASEE-image-1.0 will be accessible through the closed beta version set to launch on April 30, 2026. Interested participants can apply through a registration form until April 27, 2026, to gain early access.

Closed Beta Registration



To register for the closed beta, please visit:
Closed Beta Registration Form

Corporate Inquiries



Businesses looking to leverage this model can inquire via email with their intended collaboration details.

Email: [email protected]

Future Developments



Register for HANASEE Updates



As part of the lead-up to the official launch, prospective users can pre-register for HANASEE updates and receive first-hand information about the service's improvements and release schedule. Interested parties can use the following link for pre-registration:
Pre-registration Form

Business Collaborations



Those interested in exploring IP expansion through AI manga or partnerships with distribution platforms can reach out for discussions.

Email: [email protected]

About Xross Road



Xross Road represents a forward-thinking initiative by extra mile Inc., designed to modernize the creation and distribution of IP content using technology. The project encompasses professionals from various fields such as AI, blockchain, and entertainment, all collaborating to shape the next decade of entertainment.

Official Website: Xross Road

Follow Us on X (Formerly Twitter): @xross__road

About extra mile Inc.



  • - Name: extra mile Inc.
  • - CEO: Ei Tamate
  • - Established: July 1, 2020
  • - Location: 5-2-1 Roppongi, Minato-ku, Tokyo, Japan, 7F Houraiya Building
  • - Website: extra mile



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Topics Entertainment & Media)

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