Publish wan22-ti2v-5b-fast-int8@1 (aether publish)

.gitattributes

@@ -33,3 +33,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+ios-any-gpu/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+ios-any-gpu/wan22_ti2v_5b_fast_int8-denoiser0.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+ios-any-gpu/wan22_ti2v_5b_fast_int8-denoiser1.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+ios-any-gpu/wan22_ti2v_5b_fast_int8-denoiser2.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+ios-any-gpu/wan22_ti2v_5b_fast_int8-taedecoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+ios-any-gpu/wan22_ti2v_5b_fast_int8-text0.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+ios-any-gpu/wan22_ti2v_5b_fast_int8-text1.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+ios-any-gpu/wan22_ti2v_5b_fast_int8-text2.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+ios-any-gpu/wan22_ti2v_5b_fast_int8-vaeenc.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text

LICENSE

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README.md

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+---
+license: apache-2.0
+base_model: FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers
+pipeline_tag: image-to-video
+tags:
+- aether
+- core-ai
+- apple
+- ios
+---
+
+# wan22-ti2v-5b-fast-int8
+
+A Core AI bundle of [FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers](https://huggingface.co/FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers) for the Aether SDK (iOS and macOS 27+).
+
+- **Source:** `FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers` at revision `3e187042a324f6f5fb68fd22110a78725253de8f`, licence Apache-2.0.
+  The licence is included as `LICENSE`. `FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers` declares apache-2.0 in its model card but ships no licence file; `LICENSE` is the canonical text from apache.org.
+- **Changes from the source:** converted from PyTorch to Core AI (`.aimodel`) by Aether forge (recipe
+  `wan22-ti2v-5b-fast-int8@1`). Weights are int8-linear-perchannel (8-bit weights). The stages run one after another: the text encoder as 3 sequential segments (these weights, its token embedding float16), the first-frame encoder (the video autoencoder's encoder, float16), the denoiser as 3 sequential segments (these weights, float32 residual stream) and the video decoder (the tiny decoder: madebyollin's taeHV with lightx2v's `taew2_2` weights, float16, never quantized). The model's own decoder is not included: clips decode with the tiny decoder. The tokenizer files are the source's own.
+- **Output:** video clips continuing a given first frame, guided by a prompt (`videoOutput`), 3 steps without guidance; 49 frames (2.0 s) at 24 fps by default, at most 49.
+
+## Variants
+
+| Variant | Platform | Arch | Compute | Compiled | Assets | Download |
+|---|---|---|---|---|---|---|
+| `ios-any-gpu` | ios | any | gpu | no (specialized on first load) | `wan22_ti2v_5b_fast_int8-denoiser0.aimodel` 2.11 GB, `wan22_ti2v_5b_fast_int8-denoiser1.aimodel` 2.02 GB, `wan22_ti2v_5b_fast_int8-denoiser2.aimodel` 2.02 GB, `wan22_ti2v_5b_fast_int8-taedecoder.aimodel` 19.9 MB, `wan22_ti2v_5b_fast_int8-text0.aimodel` 2.1 GB, `wan22_ti2v_5b_fast_int8-text1.aimodel` 2.32 GB, `wan22_ti2v_5b_fast_int8-text2.aimodel` 2.32 GB, `wan22_ti2v_5b_fast_int8-vaeenc.aimodel` 107.8 MB | 13.02 GB |
+
+Clip sizes (the first frame must be the clip's size):
+- `ios-any-gpu`: 384×672 (default), 672×384, 320×576, 576×320
+
+`ios-any-gpu` needs the `com.apple.developer.kernel.increased-memory-limit` entitlement: its T2 run (17-frame fixture clips) peaked at 2024 MB on iPhone18,2 (record `b23fa5c1`). Its stages load one at a time.
+
+On the device `ios-any-gpu` needs about 37.75 GB of storage: the 13.02 GB download plus about 24.73 GB that Core AI caches as it specializes the assets on first use of each size (measured on iPhone18,2 after clips at 384×672, 672×384, 320×576, 576×320, record `b23fa5c1`; `verification/storage/ios-any-gpu.json`).
+
+## Third-party code
+
+The tiny decoder (`taeDecoder`) is converted from [madebyollin's taeHV](https://github.com/madebyollin/taehv)
+(MIT licence, the module carried unmodified) with the [`taew2_2`](https://huggingface.co/lightx2v/Autoencoders)
+weights (Apache-2.0). Every variant carries taeHV's licence as `THIRD_PARTY_LICENSES/taehv-LICENSE`.
+
+## Verification
+
+Every row is a record in `verification/` about exactly these bytes (matched by bundle digest). Reference rows
+are strict T2 passes of the unquantized export on the same fixture, in `verification/reference/`.
+
+| Variant | Tier | Result | Detail | Device | OS build | Compute | Record |
+|---|---|---|---|---|---|---|---|
+| `ios-any-gpu` | T2 | pass | 6/6 cases; profile quantized-8bit-relative; fixture `7052e35d5589c9dc` | iPhone18,2 | 24A446 | target | `b23fa5c1` |
+| unquantized reference (not published) | T2 | pass | 6/6 cases; profile strict-relative; fixture `7052e35d5589c9dc` | Mac17,6 | 26A434 | target | `fef1c5e9` |
+
+The quantized profile also requires: T2 strict on the unquantized reference export (met by the reference row).
+
+## Use
+
+```sh
+aether generate wan22-ti2v-5b-fast-int8 --video --image first.png --prompt "The cat turns its head toward the sea" -o clip.mp4
+```
+
+```swift
+import Aether
+import ImageIO
+
+let aether = try Aether()
+let generator = try await aether.videoGenerator("wan22-ti2v-5b-fast-int8")
+let source = CGImageSourceCreateWithURL(URL(fileURLWithPath: "first.png") as CFURL, nil)!
+var request = VideoRequest(prompt: "The cat turns its head toward the sea")
+request.firstFrame = CGImageSourceCreateImageAtIndex(source, 0, nil)
+let clip = try await generator.video(for: request)
+try await clip.write(to: URL(fileURLWithPath: "clip.mp4"))
+```

ios-any-gpu/THIRD_PARTY_LICENSES/taehv-LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2025 Ollin Boer Bohan
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

ios-any-gpu/aether.json

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+{
+  "architecture" : {
+    "class" : "diffusion"
+  },
+  "capabilities" : [
+    "videoOutput"
+  ],
+  "diffusion" : {
+    "assetBytes" : {
+      "denoiser0" : 2105932681,
+      "denoiser1" : 2016334901,
+      "denoiser2" : 2016951771,
+      "taeDecoder" : 19874131,
+      "textEncoder0" : 2100298716,
+      "textEncoder1" : 2316765628,
+      "textEncoder2" : 2316782903,
+      "vaeEncoder" : 107801883
+    },
+    "decoderAsset" : "taeDecoder",
+    "defaultSize" : {
+      "height" : 672,
+      "width" : 384
+    },
+    "denoiserAsset" : "denoiser",
+    "denoiserSegments" : [
+      "denoiser0",
+      "denoiser1",
+      "denoiser2"
+    ],
+    "expectFrequentReshapes" : true,
+    "guidance" : false,
+    "latentChannels" : 192,
+    "maxSteps" : 3,
+    "pixelsPerToken" : 32,
+    "prompt" : {
+      "keepTrailingTokens" : 1,
+      "maxLength" : 512,
+      "padRowsTo" : 512,
+      "padToken" : 0,
+      "padding" : "none",
+      "relativePositionBuckets" : {
+        "count" : 32,
+        "maxDistance" : 128
+      },
+      "template" : "raw"
+    },
+    "residency" : "minimal",
+    "rotary" : {
+      "axes" : [
+        44,
+        42,
+        42
+      ],
+      "layout" : "fyx",
+      "pairing" : "interleaved",
+      "textRotated" : false,
+      "theta" : 10000
+    },
+    "sampler" : "flowDMD",
+    "samplerTimesteps" : [
+      1000,
+      757,
+      522
+    ],
+    "sigmaShift" : {
+      "rule" : "fixed",
+      "shift" : 5
+    },
+    "sizes" : [
+      {
+        "height" : 672,
+        "width" : 384
+      },
+      {
+        "height" : 384,
+        "width" : 672
+      },
+      {
+        "height" : 576,
+        "width" : 320
+      },
+      {
+        "height" : 320,
+        "width" : 576
+      }
+    ],
+    "steps" : 3,
+    "textEncoderAsset" : "textEncoder",
+    "textEncoderSegments" : [
+      "textEncoder0",
+      "textEncoder1",
+      "textEncoder2"
+    ],
+    "trainTimesteps" : 1000,
+    "verification" : {
+      "imagePathBelowBF16" : 0.15,
+      "quantizedTextCosine" : 0.998,
+      "quantizedVelocityCosine" : 0.99
+    },
+    "video" : {
+      "decoderCaches" : [
+
+      ],
+      "defaultFrames" : 49,
+      "firstFrame" : {
+        "encoder" : "vaeEncoder/encodeFrame"
+      },
+      "fps" : 24,
+      "frameRule" : {
+        "base" : 1,
+        "multiple" : 4
+      },
+      "latentFrameChannels" : 48,
+      "maxFrames" : 49,
+      "patch" : [
+        1,
+        2,
+        2
+      ],
+      "spatialCompression" : 16,
+      "temporalCompression" : 4,
+      "timestepMode" : "perToken",
+      "tinyDecoder" : {
+        "chunk" : 4,
+        "framesPerLatentFrame" : 4,
+        "functions" : [
+          {
+            "name" : "taeDecoder/decodeChunk"
+          }
+        ],
+        "memories" : [
+          {
+            "channels" : 256,
+            "input" : "mem0",
+            "output" : "memNext0",
+            "scale" : 1
+          },
+          {
+            "channels" : 256,
+            "input" : "mem1",
+            "output" : "memNext1",
+            "scale" : 1
+          },
+          {
+            "channels" : 256,
+            "input" : "mem2",
+            "output" : "memNext2",
+            "scale" : 1
+          },
+          {
+            "channels" : 128,
+            "input" : "mem3",
+            "output" : "memNext3",
+            "scale" : 2
+          },
+          {
+            "channels" : 128,
+            "input" : "mem4",
+            "output" : "memNext4",
+            "scale" : 2
+          },
+          {
+            "channels" : 128,
+            "input" : "mem5",
+            "output" : "memNext5",
+            "scale" : 2
+          },
+          {
+            "channels" : 64,
+            "input" : "mem6",
+            "output" : "memNext6",
+            "scale" : 4
+          },
+          {
+            "channels" : 64,
+            "input" : "mem7",
+            "output" : "memNext7",
+            "scale" : 4
+          },
+          {
+            "channels" : 64,
+            "input" : "mem8",
+            "output" : "memNext8",
+            "scale" : 4
+          }
+        ],
+        "source" : {
+          "file" : "taew2_2.safetensors",
+          "hfRepo" : "lightx2v/Autoencoders",
+          "license" : "apache-2.0",
+          "revision" : "02cbfd1a0a336bbd87da49fd8cc155ed11ff123e"
+        },
+        "trimLeadingFrames" : 3
+      }
+    }
+  },
+  "driver" : "diffusion",
+  "functions" : {
+    "denoiser0/segment" : {
+      "role" : "denoiseSegment"
+    },
+    "denoiser1/segment" : {
+      "role" : "denoiseSegment"
+    },
+    "denoiser2/segment" : {
+      "role" : "denoiseSegment"
+    },
+    "taeDecoder/decodeChunk" : {
+      "role" : "decodeVideoChunk"
+    },
+    "textEncoder0/segment" : {
+      "role" : "encodeTextSegment"
+    },
+    "textEncoder1/segment" : {
+      "role" : "encodeTextSegment"
+    },
+    "textEncoder2/segment" : {
+      "role" : "encodeTextSegment"
+    },
+    "vaeEncoder/encodeFrame" : {
+      "role" : "encodeVideoFirstFrame"
+    }
+  },
+  "inputs" : {
+    "context" : {
+      "bind" : "carry",
+      "dtype" : "float16"
+    },
+    "hcache0" : {
+      "bind" : "carry",
+      "dtype" : "float16"
+    },
+    "hcache1" : {
+      "bind" : "carry",
+      "dtype" : "float16"
+    },
+    "hcache10" : {
+      "bind" : "carry",
+      "dtype" : "float16"
+    },
+    "hcache11" : {
+      "bind" : "carry",
+      "dtype" : "float16"
+    },
+    "hcache12" : {
+      "bind" : "carry",
+      "dtype" : "float16"
+    },
+    "hcache13" : {
+      "bind" : "carry",
+      "dtype" : "float16"
+    },
+    "hcache14" : {
+      "bind" : "carry",
+      "dtype" : "float16"
+    },
+    "hcache15" : {
+      "bind" : "carry",
+      "dtype" : "float16"
+    },
+    "hcache16" : {
+      "bind" : "carry",
+      "dtype" : "float16"
+    },
+    "hcache17" : {
+      "bind" : "carry",
+      "dtype" : "float16"
+    },
+    "hcache2" : {
+      "bind" : "carry",
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ios-any-gpu/metadata.json

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verification/b23fa5c1-1b97-4789-a9c9-0348bbce7f70.json

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verification/negative-control/7e81d7b1-ee1e-40ef-88f9-66cd15a0ba81.json

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verification/negative-control/b0835528-b531-43f8-a753-a2e4840abdb1.json

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verification/reference/fef1c5e9-b92c-4671-a35e-36919c226194.json

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verification/storage/ios-any-gpu.json

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