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README.md
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@@ -40,6 +40,23 @@ The model was rigorously evaluated against the generic zero-shot IP-Adapter base
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*Note: In 1-to-1 sample comparisons, this fine-tuned model successfully pushed specific Identity Scores as high as **0.9680**, achieving superior sample-specific realism (FID: 421.97 vs Baseline: 448.15).*
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## Usage
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To use this model, you first need to extract the face embedding and aligned face image using `insightface`.
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*Note: In 1-to-1 sample comparisons, this fine-tuned model successfully pushed specific Identity Scores as high as **0.9680**, achieving superior sample-specific realism (FID: 421.97 vs Baseline: 448.15).*
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## Generalization to Unseen Data (CelebA-HQ)
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To prove TrueFace-Adapter does not overfit to the training data, we tested it on unseen subjects from the CelebA-HQ dataset across 5 distinct prompts (Cinematic, Smiling, Sunglasses, Studio, Charcoal Sketch).
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**Reference Subject (Unseen Data):**
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**Baseline (Standard IP-Adapter Zero-Shot):**
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*Notice the loss of the square jawline, the alteration of the eye shape, and the complete loss of identity in the sketch (far right).*
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**TrueFace-Adapter (Ours):**
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*The fine-tuned model strictly preserves the subject's deep-set eyes, specific jaw structure, and maintains high-fidelity likeness even in the charcoal sketch medium.*
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## Usage
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To use this model, you first need to extract the face embedding and aligned face image using `insightface`.
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