Creative AI
Hanzo Creative AI: proprietary generative media checkpoints (Koma, Iro, Mori, Oto, Koe, Uta) built upon open foundations (ZenLM), served via Hanzo Cloud inference and Hanzo Studio.
Hanzo Creative AI establishes a strict architectural separation between open foundations and proprietary studio models.
Open foundation models provide public, reproducible research under permissive licenses (Apache 2.0 / MIT) with downloadable weights on Hugging Face (huggingface.co/zenlm). Hanzo Creative models are proprietary fine-tunes designed for production studio workflows, character consistency, shot continuity, and professional audio-visual generation with private weights hosted in Hanzo Cloud.
The Model Pairings
Each proprietary creative model pairs directly with an open foundation checkpoint:
| Modality | Open Foundation (Zen) | License & Upstream Base | Hanzo Proprietary Checkpoint | Research Preview Route | Status |
|---|---|---|---|---|---|
| Video | zenlm/zen-director | Apache 2.0 Β· Wan2.2 5B | Koma | hanzo.ai/koma | Research Preview |
| Image | zenlm/zen3-image | Apache 2.0 Β· Qwen-Image / 2512 | Iro | hanzo.ai/iro | Research Preview |
| 3D | zenlm/zen-3d | MIT Β· TRELLIS | Mori | hanzo.ai/mori | Research Preview |
| Foley | zenlm/zen-foley | Apache 2.0 Β· MOSS-SoundEffect v2 | Oto | hanzo.ai/oto | Research Preview |
| Voice | zenlm/zen3-tts | Apache 2.0 Β· Qwen3-TTS | Koe | hanzo.ai/koe | Research Preview |
| Music | zenlm/zen-musician | Apache 2.0 / MIT Β· YuE / ACE-Step 1.5 | Uta | hanzo.ai/uta | Research Preview |
Architectural Contracts
The distinction between open foundation checkpoints and Hanzo proprietary models is governed by a strict lifecycle contract:
| Contract Property | Open Foundation (ZenLM) | Proprietary Creative Model (Hanzo) |
|---|---|---|
| Model Class | open | proprietary |
| Weights Access | Publicly downloadable | Private to Hanzo Cloud infrastructure |
| Licensing | Apache 2.0 / MIT | Hanzo Commercial & Research Evaluation License |
| Distribution | Hugging Face (zenlm) | Private API gateway & Hanzo Studio node graph |
| Access Gate | Open download without approval | Granular per-model research approval |
| Fine-Tuning | Unrestricted open fine-tuning | Custom enterprise adaptation via private agreement |
| Safety Oversight | Upstream safety filters | Dual evaluation: ZooAI Lifeguard + Policy DAGs |
Proprietary Model Specifications
Koma β Cinematic Video Generation
- Role: High-fidelity video generation with shot-level creative direction and character continuity across camera cuts.
- Foundation:
zen-director(Wan2.2 5B base, Apache 2.0). - Core Architecture: Spatial-temporal diffusion transformer with dual trajectory motion control and depth-guided camera trajectories.
- Native Context: Up to 120-frame temporal coherence at 24/60 fps with 1080p native generation and 4K latent upscaling.
- Key Use Cases: Pre-visualization, commercial spot generation, dynamic episodic storytelling, virtual production plates.
- Access Route: hanzo.ai/koma Β· Apply for Research Access
Iro β Creative Image Synthesis
- Role: Creative art direction, brand asset design, prompt adherence, and photorealistic asset generation.
- Foundation:
zen3-image(Qwen-Image / Qwen-Image-2512 base, Apache 2.0). - Core Architecture: Multimodal cross-attention flow-matching transformer with precise typography and layout rendering.
- Key Use Cases: Brand design systems, production concept art, typography-accurate editorial posters, game assets.
- Access Route: hanzo.ai/iro Β· Apply for Research Access
Mori β Geometric 3D Mesh Generation
- Role: High-fidelity 3D asset creation with production-ready topologies, PBR material maps, and UV unwrapping.
- Foundation:
zen-3d(TRELLIS base, MIT). - Core Architecture: Structured 3D Gaussian splatting to dual-resolution signed distance field (SDF) meshing with automated quad-dominant remeshing.
- Output Formats: GLTF, USDZ, FBX, OBJ with albedo, roughness, metallic, and normal maps.
- Key Use Cases: Spatial computing, Unreal Engine / Unity level dressing, industrial asset prototyping.
- Access Route: hanzo.ai/mori Β· Apply for Research Access
Oto β Foley & Environmental Audio
- Role: Synchronized foley sound effects, ambient soundscapes, acoustic reverberation modeling, and video-to-audio matching.
- Foundation:
zen-foley(MOSS-SoundEffect v2 base, Apache 2.0). - Core Architecture: Latent audio diffusion with multi-band mel spectrogram reconstruction and frame-accurate hit-point temporal synchronization.
- Output Spec: 48 kHz / 24-bit uncompressed audio (WAV, FLAC) with spatial binaural rendering options.
- Key Use Cases: Automated game sound design, video post-production foley replacement, interactive media acoustics.
- Access Route: hanzo.ai/oto Β· Apply for Research Access
Koe β Expressive Speech & Voice Performance
- Role: Emotionally nuanced voice performance, character acting, multilingual accent synthesis, and vocal style transfer.
- Foundation:
zen3-tts(Qwen3-TTS base, Apache 2.0). - Core Architecture: Flow-matching autoregressive acoustic model with zero-shot reference voice cloning and prosody descriptor conditioning.
- Capabilities: Sub-second voice replication from 3-second reference audio; multi-lingual dialogue with natural pacing and phoneme control.
- Key Use Cases: Game NPC dialogue trees, cinematic voiceovers, localization, audiobook narration.
- Access Route: hanzo.ai/koe Β· Apply for Research Access
Uta β Multi-Track Music Composition
- Role: Structural music composition, stem generation, full-length musical arrangement, and vocal lyric synthesis.
- Foundation:
zen-musician(YuE stage 1 / ACE-Step 1.5 base, Apache 2.0 / MIT). - Core Architecture: Hierarchical acoustic codebook transformer with separate stem conditioning (drums, bass, harmonic accompaniment, vocal lead).
- Capabilities: Up to 4-minute continuous composition with structured verse-chorus progression and BPM-locked time signatures.
- Key Use Cases: Adaptive game soundtracks, advertising scoring, commercial audio production.
- Access Route: hanzo.ai/uta Β· Apply for Research Access
Access & Governance Lifecycle
Access to private creative models follows a mandatory multi-step approval pipeline:
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β 1. Model Application β ββββΊ β 2. Enterprise Audit β ββββΊ β 3. Entitlement Minting β
β hanzo.ai/research- β β Intended use & volume β β Cryptographic access β
β access intake form β β compliance clearance β β token issued to IAM orgβ
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β
βΌ
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β 5. Studio Workflow β ββββ β 4. Gateway Activation β ββββββ Node graph enabled on β
β Interactive pipeline β β POST /v1/creative/* β studio.hanzo.ai β
β with live latent view β β verified per request β β
ββββββββββββββββββββββββββ ββββββββββββββββββββββββββ- Intake Application: Submit an application specifying intended models and research use cases at hanzo.ai/research-access.
- Review & Compliance: The research review board verifies institutional credentials and alignment with the Hanzo Acceptable Use Policy.
- Entitlement Minting: An entitlement token is minted against your Hanzo IAM organization ID. Approvals are strictly scoped per model (approval for Koma does not grant access to Iro or Mori).
- Wire-Time Enforcement: Every request to the Hanzo Platform API verifies the cryptographic entitlement before inference begins; unauthorized calls fail at the ingress layer.
- Studio Node Activation: Models immediately unlock as native nodes inside Hanzo Studio for multi-node visual orchestration.
Hanzo Studio Integration
Creative models operate as first-class nodes in Hanzo Studio (studio.hanzo.ai), allowing developers and creators to link generative media with foundation models and deterministic Decision Programs:
# Conceptual Hanzo Studio DAG Pipeline
from hanzo.studio import Workflow, Node
wf = Workflow(name="Cinematic Trailer Generation")
# 1. Foundation reasoning generates character bible and prompt sequence
concept = wf.add(Node.chat("zen6", prompt="Generate 3-shot scene beats for sci-fi film"))
# 2. Decision node selects visual art style
style_choice = wf.add(Node.kai("style-decision", options=["cyberpunk", "solarpunk", "brutalist"]))
# 3. Creative Image model generates reference keyframes
keyframe = wf.add(Node.creative("iro", prompt=concept.out["shot_1"], style=style_choice.verdict))
# 4. Creative Video model generates cinematic motion
shot = wf.add(Node.creative("koma", image=keyframe.image, duration_frames=72))
# 5. Creative Audio models generate voice performance and foley
voice = wf.add(Node.creative("koe", script=concept.out["dialogue_1"], voice_ref="narrator_v2"))
foley = wf.add(Node.creative("oto", video_track=shot.video, mood="tension"))
# 6. Safety evaluation node checks content boundaries
guard = wf.add(Node.guard("zooai/lifeguard", video=shot.video, audio=voice.audio))Safety & Content Standards
All Hanzo Creative model runs are evaluated against consequence-grounded safety standards:
- ZooAI Lifeguard (
zooai/lifeguard): Multi-modal guardrail evaluating generated media for physical safety, non-consensual imagery, and policy boundaries. - Provenance & Watermarking: Cryptographic provenance metadata (C2PA standard) is embedded into all generated video, audio, and images to ensure verifiable attribution.
- Deterministic Override: If a safety node issues a
denyverdict, the media pipeline halts instantly and resources are quarantined.