Anima-Style-Embedding / config.json
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{
"model_type": "anima_style_embedding",
"version": "1.0",
"architecture": {
"width": 512,
"blocks": 4,
"heads": 8,
"embedding_dim": 512,
"dropout": 0.1,
"reference_grounding": true,
"functional_factors": true,
"reference_count": [
1,
8
],
"trainable_parameters": 17488353
},
"inputs": {
"siglip2_full": {
"shape": [
30,
1152
],
"dtype": "bfloat16"
},
"siglip2_face": {
"shape": [
30,
1152
],
"dtype": "bfloat16",
"optional": true
},
"anima": {
"shape": [
3,
4096
],
"dtype": "bfloat16"
}
},
"vision_backbone": {
"repo_id": "timm/vit_so400m_patch16_siglip_gap_512.v2_webli",
"image_size": 512,
"layer_fractions": [
0.25,
0.55,
1.0
],
"pool_sizes": [
2,
4,
2
]
},
"anima_features": {
"image_size": 768,
"blocks": [
8,
18,
26
],
"sigma": 0.1,
"noise_seed": 20260715
},
"training": {
"checkpoint_step": 4500,
"face_dropout": 0.3,
"query_count": 2,
"optimizer": "AdamW(fused)",
"scheduler": "cosine_with_linear_warmup",
"learning_rate": 0.0001,
"packed_manifest_sha256": "c1267b9fd45c6e0d222b91d6ae2291b36b763277cc39cbc32484874ffeae9b32"
}
}