Verified claim · AI-ML · 100% confidence
Imagen introduced in paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022).
Last verified 2026-05-16 · Methodology veritas-v0.1 · 30fdfa95f8684ca5
Structured fields
- Subject
- Imagen
- Predicate
introduced_in_paper- Object
- Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022)
- Confidence
- 100%
- Tags
- imagen · google · text-to-image · diffusion · foundational · 2022
Sources (2)
[1] preprint · arXiv (Saharia, Chan, Saxena, Li, Whang, Denton, et al. / Google Brain) · 2022-05-23
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding“We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding.”
[2] official blog · Google Research · 2022-05-23
Imagen — official site
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Use this claim in your code
Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.
cURL
curl https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Imagen introduced in paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Imagen introduced in paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_imagen_fact() -> dict:
"""Fetch the verified SourceScore claim for Imagen."""
r = httpx.get("https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.json")
return r.json()