Introduction
IP-Adapter uses decoupled cross-attention to add lightweight image-prompt capabilities to pretrained diffusion models. Reference-image control can coexist with text prompts and ControlNet, supporting workflows for portraits, fashion and identity that combine several types of guidance rather than relying on a description alone.
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Hu Ye; Jun Zhang; Sibo Liu; Xiao Han; Wei Yang / Tencent AI Lab · original paper · Image rights remain with their respective holders; no open licence is asserted
Source · IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models ↗RESEARCH ACCOUNT
Giving reference images and text separate paths into diffusion.
ANTI-AI ARCHIVE · Revised 2026-10-02
Method and contribution
IP-Adapter separates image and text features through decoupled cross-attention, adding a lightweight module while freezing the base diffusion model. The paper discusses compatibility with customised models derived from that base and with spatial-control tools. It supplies image-prompt conditioning rather than simply copying a reference image into the result.
Section sources: IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Art-historical interpretation
A reference image becomes an input that can be manipulated alongside language. Researchers need to track whether it supplies a subject, composition or visual tendency. Technical compatibility does not resolve permission or attribution for the referenced work.
Section sources: IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Sources for this account
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Continue with a comparative question
Compare the methods, forms of control or presentation contexts of this entry and DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.
Compare the methods, forms of control or presentation contexts of this entry and Adding Conditional Control to Text-to-Image Diffusion Models.
Dates & version record
Date displayed for this node: 2023-08 · Historical date recorded for the source: 2023-08
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Original sources & further reading
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IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
https://arxiv.org/abs/2308.06721
Current cited URL
Provenance, translation & verification
Timeline entry #205 · Historical node
Research materials & supplement references · 2
AI Art Genealogy Research Master · p. 30 · 102
Date as recorded: 2023-08
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models ↗
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
GenAI Visual Release Chronology Research Master · p. 15 · R074
Date as recorded: 2023-08
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models ↗
IP-Adapter
Archive account based on the listed research materials, not a full translation of the linked work. AI-assisted translation; independent human review pending.
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Cite this node
ANTI-AI ARCHIVE. IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models. Art-history node #205. https://salondesrefuses.cn/en/art-history/102
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