Model comparison
IP-Adapter-FaceID vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
IP-Adapter-FaceID
Not scored
value score
Gemini 2.5 Pro
93
value score
IP-Adapter-FaceID ctx
—
Gemini 2.5 Pro ctx
1.0M
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Gemini 2.5 Pro93
Attribute tape
| Field | IP-Adapter-FaceID | Gemini 2.5 Pro |
|---|---|---|
| Developer | Ada | Google DeepMind |
| Context | — | 1.0M |
| Modalities | Text, Code, Image, Audio, Video | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $1.25/1M in · $10/1M out |
| Value score | — | 93 |
| Summary | IP-Adapter-FaceID is a research-only diffusion model adapter that conditions image generation on face-identity embeddings from InsightFace, enabling face-consistent image synthesis across styles from a single reference photo and text prompt. It replaces the generic CLIP image embedding used in the original IP-Adapter with face-recognition embeddings and LoRA for improved identity consistency. | Google frontier multimodal model. |