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Klon AI Global Launch: Cheer Holding Rolls Out Consumer AI Portrait and Digital Identity Platform

(Positive)
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AI

Cheer Holding (NASDAQ: CHR) announced the global launch of its proprietary AI portrait and digital identity platform, Klon AI, which has exited invite-only beta and is now available on the App Store and Google Play worldwide. Following closed beta tests in North America, Latin America, Japan, South Korea and Southeast Asia, the app enables users to generate studio-quality portraits and build evolving digital twins from 3–5 photos.

The official release integrates four core modules: a multi-style portrait engine, a global scene template library, a cross-scene identity-consistent digital twin system, and an intelligent static-to-video conversion tool. According to Cheer Holding, Klon AI focuses on scalable, proven generative AI technologies to deliver high-quality, identity-consistent images and short videos with second-level creation speeds and over 95% identity feature retention in internal tests.

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Positive

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Negative

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News Market Reaction – CHR

-1.60%
1 alert
-1.60% Session close to close
$3.54M Market Cap
0.0x Rel. Volume

In the Jul 14 session, CHR declined 1.60%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

Platform data indicate past AI-focused announcements have produced slightly negative average follow-...
Analysis

Platform data indicate past AI-focused announcements have produced slightly negative average follow-up moves, and short interest remains relatively low. Against that backdrop, this Klon AI milestone may be assessed mainly on adoption progress, with execution on global scaling a key risk to monitor.

Key Figures

Input photos needed: 3–5 photos Core modules: 4 modules Template library size: thousands of templates +2 more
5 metrics
Input photos needed 3–5 photos Photos required to create a digital twin
Core modules 4 modules Official Klon AI release feature set
Template library size thousands of templates Global scene library for portrait generation
Generation latency seconds per image Single-image generation time after optimizations
Identity retention over 95% Identity feature retention in internal testing

Previous AI Reports

5 past events · Latest: Apr 14 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Apr 14 AI app update Positive -7.3% CHEERS Telepathy 3.1.0 launched with multimodal AI translation and global assistant.
Apr 06 Klon AI beta launch Positive -1.9% Invite-only Klon AI beta opened for overseas users across multiple regions.
Oct 28 AI platform launch Positive +0.6% CHEERS Telepathy AI 3.0 released as full-stack AI portrait creation platform.
Sep 24 AI app upgrade Positive +2.4% CHEERS Telepathy AI multimodal app upgraded with enhanced overseas support and features.
Sep 3 AI content series Positive -0.3% AI-based classical literature video series released using in-house Polaris and Telepathy tech.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged announcements for Cheer Holding have often been followed by slightly negative next-day moves, with a few positive outliers.

Key Terms

latent diffusion models, model quantization
2 terms
latent diffusion models technical
"Built on latent diffusion models with DiT architecture for enhanced detail"
A latent diffusion model is a type of artificial intelligence that generates images, audio, or other complex data by learning a compressed internal representation (the “latent” space) and then gradually adding or removing noise to produce new outputs. Think of it like learning the recipe and flavor profile of many dishes, then using that simplified recipe to quickly create new variations; investors care because these models power scalable generative AI features, affect computing and data costs, and enable new products and services across industries.
model quantization technical
"LCM/Turbo distillation acceleration, model quantization, and elastic cloud inference"
Model quantization is a machine learning technique that shrinks the numerical precision of a model’s parameters and calculations (for example changing 32-bit floating point numbers to 8-bit integers) to reduce memory use, compute needs, and energy draw. Like converting high-resolution images to smaller files to make them faster to load, quantized models run cheaper and quicker on hardware, which matters to investors because it affects product costs, scalability, latency, and where models can be deployed.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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BEIJING, July 14, 2026 (GLOBE NEWSWIRE) -- Cheer Holding, Inc. (NASDAQ: CHR) (“Cheer Holding” or the “Company”), a leading provider of advanced mobile internet infrastructure and platform services, today announced that its proprietary AI portrait and digital identity creation platform, Klon AI, has exited invite-only beta testing and is now fully available to global users on the App Store and Google Play.

Following successful closed beta testing in North America, Latin America, Japan, South Korea and Southeast Asia, Klon AI stands out as one of the few consumer-grade applications to deeply integrate AI visual generation with personal digital identity management.

Product Features and Highlights

Users can generate professional studio-quality portraits in multiple styles and build a sustainable, evolving digital twin simply by uploading 3–5 portrait photos — no professional equipment or photography team required. The official version introduces four core modules:

  • Multi-style portrait generation engine
  • Global scene library with thousands of templates
  • Cross-scene identity-consistent digital twin system
  • Intelligent tool that automatically converts static portraits into social short videos

Together, these form a complete creation-to-distribution loop. The platform’s key differentiator is its strong cross-scene identity consistency, ensuring users’ facial features and personal style remain unified across portraits, short videos, virtual avatars, and other formats — creating recognizable personal digital assets. 

Technological Leadership and Advantages

Rather than pursuing unstable frontier concepts, Klon AI focuses on deep engineering implementation of proven, scalable technologies:

  • High-Quality Generation: Built on latent diffusion models with DiT architecture for enhanced detail, skin texture, and compositional stability.
  • Identity Consistency: Combines Identity Consistency algorithms with InstantID/IP-Adapter-FaceID training-free identity injection and lightweight LoRA fine-tuning, validated by ArcFace embeddings, enabling second-level creation of personalized digital twins.
  • Composition and Image Quality: ControlNet for precise pose and composition control, paired with mature face restoration and super-resolution techniques.
  • Static-to-Video Conversion: Mature image-to-video diffusion models that maintain identity consistency while generating smooth short videos.
  • Speed and Cost Efficiency: LCM/Turbo distillation acceleration, model quantization, and elastic cloud inference reduce single-image generation latency to seconds. Internal testing shows identity feature retention exceeding 95% across continuous creations.

Ease of Use and Broad Applicability

Complex technical capabilities are fully encapsulated in a simple, intuitive interface. The complete workflow requires just three steps: upload photos → select style/scene → generate. No AI or photography expertise is needed.

Klon AI supports both iOS and Android with cloud asset synchronization. It offers multi-language interfaces and localized templates across regions, serving diverse use cases from personal portraits and social content to professional imagery, e-commerce visuals, and virtual avatars — meeting the needs of individual creators and light commercial users alike.

The development team stated that it will continue iterating model performance based on real user data and gradually introduce additional enhanced capabilities in future versions. This approach — combining mature generative AI technologies with personal digital identity management while emphasizing engineering practicality — is poised to become a new paradigm in content creation.

About Cheer Holding, Inc.

Cheer Holding is a leading provider of advanced mobile internet infrastructure and platform services. The Company operates a comprehensive digital ecosystem that integrates platforms, applications, technology, and industry, with a focus on AI-driven content creation, e-commerce, and metaverse development. For more information, please visit ir@gsmg.co.

Safe Harbor Statement

Certain statements in this announcement are forward-looking statements. These forward-looking statements involve known and unknown risks and uncertainties and are based on current expectations and projections about future events and financial trends that the Company believes may affect its financial condition, results of operations, business strategy, and financial needs. Investors can identify these forward-looking statements by words or phrases such as "may," "will," "expect," "anticipate," "aim," "estimate," "intend," "plan," "believe," "potential," "continue," "is/are likely to," or other similar expressions. These forward-looking statements include, but are not limited to, statements regarding the success of our artificial intelligence initiatives, changes or other circumstances that could affect the Company's ability to successfully develop and launch its product upgrades, AI initiatives, and technology infrastructure; issues relating to development and use of artificial intelligence; the possibility that the Company may not succeed in developing its new features due to, among other things, changes in the business environment and technological developments, competition, changes in regulation, or other economic and policy factors; and the possibility that the Company's new features may be adversely affected by other economic, business, and/or competitive factors, or that the Company will be able to continue to have its Class A ordinary shares listed on The Nasdaq Capital Market. In addition, the Company is subject to a number of risks and uncertainties set forth in documents filed by the Company with the Securities and Exchange Commission from time to time, including the Company's latest Annual Report on Form 20-F filed with the SEC on March 20, 2026. The Company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by applicable law. Such information speaks only as of the date of this release.

For investor and media inquiries, please contact

James Li
Email: ir@gsmg.co
Tel: +86 10 6778 2900 (CN)


FAQ

What is Klon AI launched by Cheer Holding (NASDAQ: CHR) on July 14, 2026?

Klon AI is Cheer Holding’s consumer AI portrait and digital identity platform, launched globally on July 14, 2026. According to Cheer Holding, it lets users create studio-quality portraits and evolving digital twins from a few photos, integrating image generation, identity management, and short video creation.

How does Klon AI’s digital twin and identity consistency work for CHR users?

Klon AI maintains high identity consistency across portraits, short videos, and virtual avatars using specialized algorithms and diffusion models. According to Cheer Holding, internal testing shows identity feature retention exceeding 95% across continuous creations, helping users build recognizable and unified personal digital assets across different content formats.

What are the main features of Cheer Holding’s Klon AI app for global users?

Klon AI offers a multi-style portrait engine, a global scene template library, a cross-scene digital twin system, and static-to-video conversion. According to Cheer Holding, these modules form a complete creation-to-distribution loop, enabling easy production of portraits, social content, virtual avatars, and light commercial visuals.

On which platforms is Klon AI from Cheer Holding (CHR) available?

Klon AI is available globally on both the Apple App Store and Google Play for iOS and Android devices. According to Cheer Holding, the app supports cloud asset synchronization, multi-language interfaces, and localized templates tailored to different regions and user scenarios.

Do users need AI or photography skills to use Cheer Holding’s Klon AI?

Users do not need AI or photography expertise to use Klon AI, according to Cheer Holding. The workflow involves three steps—upload photos, select style or scene, then generate—within a simplified interface designed for personal portrait, social media, and light commercial content creation.

What technologies power Klon AI’s image quality and speed for Cheer Holding?

Klon AI uses latent diffusion models with DiT architecture, ControlNet, face restoration, and image-to-video diffusion for quality and composition. According to Cheer Holding, acceleration methods like LCM/Turbo distillation and model quantization reduce generation latency to seconds while preserving identity consistency.

What future developments does Cheer Holding plan for the Klon AI platform (CHR)?

Cheer Holding plans to iterate Klon AI’s model performance based on real user data and gradually introduce enhanced capabilities. According to Cheer Holding, this practical engineering approach aims to advance generative AI combined with digital identity management as a new paradigm in content creation.