ControlNet

Community · 2023 · Image Control · USA

A to Z

A · App: No
B · Built By: Community
C · CEO & Politics: N/A (academic research) — No public partisan activity documented
D · Date: 2023
E · Expertise: Intermediate+
F · Free Tier: Yes
G · Generates: Images
H · Deployment: Cloud + Local (open weights)
I · Inputs: Text→Image
J · Jurisdiction: USA
K · Key Staffers: Lvmin Zhang (Lead author), Maneesh Agrawala (Senior author)
L · Languages: English-primary
M · Model Type: Image Control
N · Safety Issues: None reported
O · Open Source: Yes — open weights
P · Pricing: Free (open weights, OpenRAIL; code Apache 2.0)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: ControlNet, a neural-network structure that adds extra conditions to text-to-image diffusion models: it trains a copy of the model's blocks while the original weights stay locked, so even small datasets don't damage the base model; the released Stable Diffusion 1.5 versions condition on edges, lines, scribbles, human pose, segmentation, depth, normal maps and anime line art.
S · Stock / Status: Research / open-source project
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: [UNKNOWN]
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights Image Control from Community, released 2023.

Data completeness 81% · Last verified 2026-05-12 · Primary source ↗

“ControlNet.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/controlnet.html