CO
ENT-00000959 · Modèle IA

ControlNet

ControlNet is a AI model associated with ControlNet, classified in LXKeys.world as Vision Model.

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

ControlNet is documented as a foundation model or model-family record associated with ControlNet. Its relevance comes from conditioning architecture for controlling diffusion image generation. 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

    ControlNet 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 ControlNet. Entity type: AI Model; classification: Vision Model; creator/organization context: Stanford / community researchers. Canonical source anchor: https://github.com/lllyasviel/ControlNet. 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

ControlNetFoundation ModelDocumented AIimage
Graphe relationnel

ControlNet

Ouvrir dans le graphe complet
ControlNet
Créateur ou développeurSortante
Stanford / community researchers

Stanford / community researchers is identified as a creator, developer or originating actor for ControlNet.

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-00000959",
    "name": "ControlNet",
    "alternateName": [],
    "additionalType": {
        "category": "Models",
        "type": "AI Model",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "ControlNet is a AI model associated with ControlNet, classified in LXKeys.world as Vision Model.",
    "creator": "Stanford / community researchers",
    "url": "https://lxkeys.world/entry.php?id=ENT-00000959&lang=fr",
    "sameAs": "https://github.com/lllyasviel/ControlNet",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00000959",
        "kind": "Models",
        "type": "AI Model",
        "subtype": "",
        "classification": "Vision Model",
        "organization": "ControlNet",
        "originContext": "Creative AI model",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "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": [
            "ControlNet",
            "Foundation Model",
            "Documented AI",
            "image"
        ],
        "timeline": [
            {
                "date": "2023",
                "title": "Initial model publication or release",
                "description": "ControlNet 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/lllyasviel/ControlNet",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Stanford / community researchers",
                "type": "Creator or Developer",
                "description": "Stanford / community researchers is identified as a creator, developer or originating actor for ControlNet.",
                "evidence_level": "documentary"
            },
            {
                "target": "Foundation Models",
                "type": "Registry Category",
                "description": "Model-level entity connected to the foundation-model layer of the registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "ControlNet official reference",
                "url": "https://github.com/lllyasviel/ControlNet",
                "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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