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manifest.json

@@ -3,7 +3,7 @@
     {
       "id": "vlm-smolvlm2-500m",
       "type": "vlm",
-      "name": "Vision — SmolVLM2 500M",
+      "name": "Vision \u2014 SmolVLM2 500M",
       "description": "Tiny, fast vision model. Sees images in chat & social, fully offline. Runs on almost any phone. Apache-2.0.",
       "quant": "Q8_0",
       "minRamMb": 2000,
@@ -25,7 +25,7 @@
     {
       "id": "vlm-qwen2.5-vl-3b",
       "type": "vlm",
-      "name": "Vision — Qwen2.5-VL 3B",
+      "name": "Vision \u2014 Qwen2.5-VL 3B",
       "description": "Balanced vision + chat brain. Sees images, fully offline. Needs a 6 GB+ phone. License: Qwen.",
       "quant": "Q4_K_M",
       "minRamMb": 6000,
@@ -47,7 +47,7 @@
     {
       "id": "vlm-gemma3-4b",
       "type": "vlm",
-      "name": "Vision — Gemma 3 4B",
+      "name": "Vision \u2014 Gemma 3 4B",
       "description": "Highest-quality vision (slower to process images). Fully offline. Needs a 6 GB+ phone. License: Gemma.",
       "quant": "Q4_K_M",
       "minRamMb": 6000,
@@ -69,8 +69,8 @@
     {
       "id": "vlm-gemma4-e2b",
       "type": "vlm",
-      "name": "Vision — Gemma 4 E2B",
-      "description": "Google's newest compact vision + chat brain. Sees images, fully offline. Larger than its name (MatFormer) — needs a 6 GB+ phone. License: Gemma.",
+      "name": "Vision \u2014 Gemma 4 E2B",
+      "description": "Google's newest compact vision + chat brain. Sees images, fully offline. Larger than its name (MatFormer) \u2014 needs a 6 GB+ phone. License: Gemma.",
       "quant": "Q4_K_M",
       "minRamMb": 6000,
       "files": [
@@ -91,8 +91,8 @@
     {
       "id": "vlm-gemma4-e4b",
       "type": "vlm",
-      "name": "Vision — Gemma 4 E4B",
-      "description": "Google's newest high-quality vision + chat brain. Larger and slower — needs an 8 GB+ phone. License: Gemma.",
+      "name": "Vision \u2014 Gemma 4 E4B",
+      "description": "Google's newest high-quality vision + chat brain. Larger and slower \u2014 needs an 8 GB+ phone. License: Gemma.",
       "quant": "Q4_K_M",
       "minRamMb": 8000,
       "files": [
@@ -113,7 +113,7 @@
     {
       "id": "chat-llama3.2-3b",
       "type": "chat",
-      "name": "Chat — Llama 3.2 3B",
+      "name": "Chat \u2014 Llama 3.2 3B",
       "description": "Well-rounded text-only chat brain. Needs a 6 GB+ phone. License: Llama 3.2.",
       "quant": "Q4_K_M",
       "minRamMb": 6000,
@@ -124,8 +124,8 @@
     {
       "id": "litert-gemma4-e2b",
       "type": "litert",
-      "name": "Gemma 4 E2B — LiteRT GPU",
-      "description": "Google's Gemma 4 E2B on the LiteRT-LM engine — GPU-accelerated on-device chat, an alternative brain to llama.cpp. Needs a 6 GB+ phone. License: Gemma.",
+      "name": "Gemma 4 E2B \u2014 LiteRT GPU",
+      "description": "Google's Gemma 4 E2B on the LiteRT-LM engine \u2014 GPU-accelerated on-device chat, an alternative brain to llama.cpp. Needs a 6 GB+ phone. License: Gemma.",
       "quant": "int4",
       "minRamMb": 6000,
       "url": "https://huggingface.co/litert-community/gemma-4-E2B-it-litert-lm/resolve/main/gemma-4-E2B-it.litertlm",
@@ -135,8 +135,8 @@
     {
       "id": "litert-gemma4-e4b",
       "type": "litert",
-      "name": "Gemma 4 E4B — LiteRT GPU",
-      "description": "Google's Gemma 4 E4B on the LiteRT-LM engine — GPU-accelerated on-device chat, higher quality than E2B. Needs an 8 GB+ phone. License: Gemma.",
+      "name": "Gemma 4 E4B \u2014 LiteRT GPU",
+      "description": "Google's Gemma 4 E4B on the LiteRT-LM engine \u2014 GPU-accelerated on-device chat, higher quality than E2B. Needs an 8 GB+ phone. License: Gemma.",
       "quant": "int4",
       "minRamMb": 8000,
       "url": "https://huggingface.co/litert-community/gemma-4-E4B-it-litert-lm/resolve/main/gemma-4-E4B-it.litertlm",
@@ -146,7 +146,7 @@
     {
       "id": "embed-minilm-l6-v2",
       "type": "embed",
-      "name": "Semantic Memory — all-MiniLM-L6-v2",
+      "name": "Semantic Memory \u2014 all-MiniLM-L6-v2",
       "description": "Recommended. Tiny embedding model that powers semantic memory: characters auto-save and recall the right memories in the background (even when your wording differs) and the chat sends less to the main model each reply, so replies stay fast. Fully offline, runs on any phone. Apache-2.0.",
       "quant": "F16",
       "minRamMb": 1000,
@@ -157,8 +157,8 @@
     {
       "id": "asr-whisper-base",
       "type": "asr",
-      "name": "Speech-to-Text — Whisper Base",
-      "description": "On-device voice transcription for calls — fully offline, multilingual. Recommended balance of accuracy and speed. Runs on any phone. MIT.",
+      "name": "Speech-to-Text \u2014 Whisper Base",
+      "description": "On-device voice transcription for calls \u2014 fully offline, multilingual. Recommended balance of accuracy and speed. Runs on any phone. MIT.",
       "quant": "ggml",
       "minRamMb": 1000,
       "url": "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.bin",
@@ -168,8 +168,8 @@
     {
       "id": "asr-whisper-tiny",
       "type": "asr",
-      "name": "Speech-to-Text — Whisper Tiny",
-      "description": "Smallest on-device voice transcription for calls — fully offline, multilingual. Fastest, slightly lower accuracy. Runs on any phone. MIT.",
+      "name": "Speech-to-Text \u2014 Whisper Tiny",
+      "description": "Smallest on-device voice transcription for calls \u2014 fully offline, multilingual. Fastest, slightly lower accuracy. Runs on any phone. MIT.",
       "quant": "ggml",
       "minRamMb": 1000,
       "url": "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.bin",
@@ -179,8 +179,8 @@
     {
       "id": "asr-whisper-large-v3-turbo",
       "type": "asr",
-      "name": "Speech-to-Text — Whisper Turbo",
-      "description": "Most accurate on-device voice transcription for calls — fully offline, multilingual. Larger download; best on a 6 GB+ phone. MIT.",
+      "name": "Speech-to-Text \u2014 Whisper Turbo",
+      "description": "Most accurate on-device voice transcription for calls \u2014 fully offline, multilingual. Larger download; best on a 6 GB+ phone. MIT.",
       "quant": "ggml q5_0",
       "minRamMb": 3000,
       "url": "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v3-turbo-q5_0.bin",
@@ -190,8 +190,8 @@
     {
       "id": "tts-en-amy",
       "type": "tts",
-      "name": "Voice — English (Amy)",
-      "description": "Lets your characters speak their replies aloud in calls — fully offline, no API key needed. Runs on any phone.",
+      "name": "Voice \u2014 English (Amy)",
+      "description": "Lets your characters speak their replies aloud in calls \u2014 fully offline, no API key needed. Runs on any phone.",
       "minRamMb": 1000,
       "url": "https://huggingface.co/Mr-J-369/Fancy-AI/resolve/main/tts-en-amy-low.zip",
       "sizeBytes": 67308190,
@@ -201,32 +201,38 @@
       "id": "faceswap-aura",
       "type": "faceswap",
       "name": "Aura Swap",
-      "description": "On-device face/head swap — detect, embed, swap, restore. Fully offline. Needs a 4 GB+ phone.",
-      "minRamMb": 4000,
+      "description": "On-device face swap \u2014 detect, embed, identity-convert, swap (GHOST-3), restore (RestoreFormer). Fully offline, commercial-licensed models. Needs a 6 GB+ phone.",
+      "minRamMb": 6000,
       "files": [
         {
-          "role": "detector",
-          "url": "https://huggingface.co/Mr-J-369/Fancy-AI/resolve/main/scrfd_10g.fp16.mnn",
-          "sizeBytes": 8485268,
-          "sha256": "a799477ec3eb87f09b380f31452adf5f26f837e07aacfc6b75474f9f1b6056d1"
+          "role": "detect",
+          "url": "https://huggingface.co/Mr-J-369/Fancy-AI/resolve/main/scrfd_10g_aura.fp32.mnn",
+          "sizeBytes": 16925304,
+          "sha256": "5354298dcc28a7f26b946624b8e1af592407c27e9e16572c4c37b57d05b2871f"
+        },
+        {
+          "role": "embed",
+          "url": "https://huggingface.co/Mr-J-369/Fancy-AI/resolve/main/arcface_glintr100_aura.fp32.mnn",
+          "sizeBytes": 260629456,
+          "sha256": "3924c5fc4fd816ce0f0de00428dfac8a99486a443331843e079ae8da793b527c"
         },
         {
-          "role": "embedder",
-          "url": "https://huggingface.co/Mr-J-369/Fancy-AI/resolve/main/arcface_w600k_r50.fp16.mnn",
-          "sizeBytes": 87244388,
-          "sha256": "09a0e01fb942cb237c5204d166a48e163d4a6d601b7b5c33eec7c210c36e918b"
+          "role": "convert",
+          "url": "https://huggingface.co/Mr-J-369/Fancy-AI/resolve/main/arcface_converter_ghost.fp32.mnn",
+          "sizeBytes": 20999256,
+          "sha256": "71fef40ac5be498d3c417f3cc1a694377de33b232e9493e3c368875345cac106"
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         {
-          "role": "swapper",
-          "url": "https://huggingface.co/Mr-J-369/Fancy-AI/resolve/main/inswapper_128.fp16.mnn",
-          "sizeBytes": 277236888,
-          "sha256": "b4bde7d0ea7ca949cd90384ea2520bc7bacba464dccd4c887a98b987b9328058"
+          "role": "swap",
+          "url": "https://huggingface.co/Mr-J-369/Fancy-AI/resolve/main/ghost_3_256.fp32.mnn",
+          "sizeBytes": 929982456,
+          "sha256": "7c7954f7a367f6617fe14ad2e6d173225384f7758348f80737d24c3a2a109b58"
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         {
-          "role": "restorer",
-          "url": "https://huggingface.co/Mr-J-369/Fancy-AI/resolve/main/codeformer.fp16.mnn",
-          "sizeBytes": 188871108,
-          "sha256": "676632af278ed6db02894b239bd17e7008e3c562f876def3fe98753981d6ebd9"
+          "role": "restore",
+          "url": "https://huggingface.co/Mr-J-369/Fancy-AI/resolve/main/restoreformer.fp32.mnn",
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     }