IP
ENT-00000960 · Modèle IA

IP-Adapter

IP-Adapter is a AI model associated with Tencent, classified in LXKeys.world as Vision Model.

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

IP-Adapter is documented as a foundation model or model-family record associated with Tencent. Its relevance comes from adapter for image prompt conditioning in diffusion models. The entity is useful for tracing model lineage, provider strategy, capability evolution and relationships between assistants, APIs and downstream products.

Chronologie

  1. 2023Initial model publication or release

    IP-Adapter entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Language or multimodal model capabilityAPI or deployment integrationReasoning, generation or representation learningModel-family relationship mapping

Limites connues

Capabilities vary by release, deployment setting and evaluation method.Operational details may differ across hosted APIs, open releases or downstream integrations.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for IP-Adapter. Entity type: AI Model; classification: Vision Model; creator/organization context: Tencent AI Lab. Canonical source anchor: https://github.com/tencent-ailab/IP-Adapter. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

TencentFoundation ModelDocumented AIimage
Graphe relationnel

IP-Adapter

Ouvrir dans le graphe complet
IP-Adapter
Organisation associéeSortante
Tencent

Tencent is the organization or ecosystem associated with IP-Adapter.

Créateur ou développeurSortante
Tencent AI Lab

Tencent AI Lab is identified as a creator, developer or originating actor for IP-Adapter.

Catégorie de registreSortante
Foundation Models

Model-level entity connected to the foundation-model layer of the registry.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00000960",
    "name": "IP-Adapter",
    "alternateName": [],
    "additionalType": {
        "category": "Models",
        "type": "AI Model",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "IP-Adapter is a AI model associated with Tencent, classified in LXKeys.world as Vision Model.",
    "creator": "Tencent AI Lab",
    "url": "https://lxkeys.world/entry.php?id=ENT-00000960&lang=fr",
    "sameAs": "https://github.com/tencent-ailab/IP-Adapter",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00000960",
        "kind": "Models",
        "type": "AI Model",
        "subtype": "",
        "classification": "Vision Model",
        "organization": "Tencent",
        "originContext": "Creative AI model",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:02+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:02+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Language or multimodal model capability",
            "API or deployment integration",
            "Reasoning, generation or representation learning",
            "Model-family relationship mapping"
        ],
        "limitations": [
            "Capabilities vary by release, deployment setting and evaluation method.",
            "Operational details may differ across hosted APIs, open releases or downstream integrations."
        ],
        "tags": [
            "Tencent",
            "Foundation Model",
            "Documented AI",
            "image"
        ],
        "timeline": [
            {
                "date": "2023",
                "title": "Initial model publication or release",
                "description": "IP-Adapter entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/tencent-ailab/IP-Adapter",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Tencent",
                "type": "Associated Organization",
                "description": "Tencent is the organization or ecosystem associated with IP-Adapter.",
                "evidence_level": "documentary"
            },
            {
                "target": "Tencent AI Lab",
                "type": "Creator or Developer",
                "description": "Tencent AI Lab is identified as a creator, developer or originating actor for IP-Adapter.",
                "evidence_level": "documentary",
                "target_id": "ENT-00000060"
            },
            {
                "target": "Foundation Models",
                "type": "Registry Category",
                "description": "Model-level entity connected to the foundation-model layer of the registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "IP-Adapter official reference",
                "url": "https://github.com/tencent-ailab/IP-Adapter",
                "source_type": "Official Documentation",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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