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Verified claim · AI-ML · 100% confidence

Latent Diffusion Models (LDM) introduced in paper: High-Resolution Image Synthesis with Latent Diffusion Models (Rombach et al., 2021).

Last verified 2026-05-16 · Methodology veritas-v0.1 · 1aacbf0bf9248dc7

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Structured fields

Subject
Latent Diffusion Models (LDM)
Predicate
introduced_in_paper
Object
High-Resolution Image Synthesis with Latent Diffusion Models (Rombach et al., 2021)
Confidence
100%
Tags
latent-diffusion · ldm · image-generation · stable-diffusion-backbone · foundational · 2021

Sources (2)

  1. [1] preprint · arXiv (Rombach, Blattmann, Lorenz, Esser, Ommer) · 2021-12-20

    High-Resolution Image Synthesis with Latent Diffusion Models
    We apply diffusion models in the latent space of powerful pretrained autoencoders. … we achieve a near-optimal point between complexity reduction and detail preservation, greatly boosting visual fidelity.
  2. [2] github release · CompVis (Heidelberg) · 2021-12-20

    CompVis/latent-diffusion — official implementation

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Latent Diffusion Models (LDM) introduced in paper: High-Resolution Image Synthesis with Latent Diffusion Models (Rombach et al., 2021). — SourceScore Claim 1aacbf0bf9248dc7 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/1aacbf0bf9248dc7.json

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Evidence comes from 2 primary sources: arXiv (Rombach, Blattmann, Lorenz, Esser, Ommer), CompVis (Heidelberg). Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/1aacbf0bf9248dc7.json includes an HMAC-SHA256 signature for audit verification.

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import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/1aacbf0bf9248dc7.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Latent Diffusion Models (LDM) introduced in paper: High-Resolution Image Synthesis with Latent Diffusion Models (Rombach et al., 2021)."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_latent_diffusion_models_ldm_fact() -> dict: """Fetch the verified SourceScore claim for Latent Diffusion Models (LDM).""" r = httpx.get("https://sourcescore.org/api/v1/claims/1aacbf0bf9248dc7.json") return r.json()
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