Historical context & research account
ControlNet freezes a pretrained diffusion backbone and learns spatial conditions through an additional network. It extends control from textual semantics toward geometry and composition. This is one technical condition for more specialized production workflows, in which artists or designers need to specify structure as well as subject matter.
Dates & version record
Date displayed for this node：2023-02 · Date recorded in the research master：2023-02
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Original sources & further reading
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Adding Conditional Control to Text-to-Image Diffusion Models
https://arxiv.org/abs/2302.05543
Current cited URL
Provenance, translation & verification
Archive node #097 · Historical node
Research masters & supplement references · 2
AI Art Genealogy Research Master · p. 29 · 097
Date as recorded: 2023-02
Adding Conditional Control to Text-to-Image Diffusion Models ↗
Adding Conditional Control to Text-to-Image Diffusion Models
GenAI Visual Release Chronology Research Master · p. 12 · R053
Date as recorded: 2023-02
Adding Conditional Control to Text-to-Image Diffusion Models ↗
ControlNet
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Cite this node
ANTI-AI ARCHIVE. Adding Conditional Control to Text-to-Image Diffusion Models. Art-history node #097. https://salondesrefuses.cn/en/art-history/097
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