publish: model-only documentation and upstream license notices

CHECKSUMS.sha256

@@ -1,4 +1,4 @@
-ab3d52dfcbe208855e491e87289fe5e9eed25047d5c4f2c8a2a49948b7b5e5c7  README.md
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-6bd8ab0b7ed64223fe254bfdee66bef4069801fe975ceccff2bdd0708ba321ac  models/Wan2.1-VACE-1.3B/README.md
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 e19df24acf3f440e0aea37d299f22b96f88d164f3349ae696daecd960a35ab1e  models/Wan2.1-VACE-1.3B/config.json
 7b8a9f5040adb67b5805abdfd42c1f8d0f3d0e711f10726580eb3789cd0ad61d  models/Wan2.1-VACE-1.3B/google/umt5-xxl/special_tokens_map.json
@@ -55,12 +55,12 @@ ed9a3a8b0faa71a70a32847e0435fe036e6e112d4df4edb7bb48a921e344dc05  models/Wan2.1-
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 e56bfcc518f43f1fd83727e673cc121a171594082fc9e14164179363fbccc182  models/Wan2.1-VACE-1.3B/text_encoder/model-00003-of-00003.safetensors
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 4dff7356c1b66cb9519ab669a78f46e7a03eb5aca60c3588348f5d4285495e8f  models/Wan2.1-VACE-1.3B/transformer/diffusion_pytorch_model-00002-of-00002.safetensors
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+93d16bdae394ebbd94bad8da1b385b8a1e655878821572e314fa16a15e859c63  models/Wan2.1-VACE-1.3B/transformer/reshard_manifest.json
 7c6f40d2ae7126dd35e92e29d38bb47c459318711fdb26ba72201f5cd82fcaf7  native_reader_validation.json
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@@ -74,4 +74,7 @@ caf3c1f8a36bd4d4fa3e4327438dc22a962cb7b43369254e235f74c926cd4832  tools/tests/te
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 e16945ecb5331cc97730bc6f3a704dfc2f50e69501c61ada177d06bdce347ea9  tools/tests/test_reshard_weights.py
 c602d4305f59c388105765835b3b7d9cacf2181e8494014fea7f0dc57e728cb8  tools/verify_model_bundle.py
-e399d0e864fbf8d9093d52bcf5f7770904e0ac4e4b1b1857dbc502857b15a0a1  bundle_manifest.json
+c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4  LICENSES/Apache-2.0.txt
+4a5b4f13ea4792a8211a69f32d2b460b6d520e57cd23c6301e707c76a6e97a55  LICENSES/MIT-OpenCLIP.txt
+04a70a4302ad5ce449684fc43968bde65420dae210ba0ccb55d9f5bbd908b272  LICENSES/UPSTREAM.md
+f6e8290dcfa126f7172e2e7c3bb8ba031a180367557ae9187ed6c797a11cfe31  bundle_manifest.json

LICENSES/Apache-2.0.txt

@@ -0,0 +1,201 @@
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LICENSES/MIT-OpenCLIP.txt

@@ -0,0 +1,23 @@
+Copyright (c) 2012-2021 Gabriel Ilharco, Mitchell Wortsman, 
+Nicholas Carlini, Rohan Taori, Achal Dave, Vaishaal Shankar, 
+John Miller, Hongseok Namkoong, Hannaneh Hajishirzi, Ali Farhadi, 
+Ludwig Schmidt
+
+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.

LICENSES/UPSTREAM.md

@@ -0,0 +1,12 @@
+# Upstream model licenses and attribution
+
+| Upstream model | Declared license | Revision checked |
+|---|---|---|
+| Wan-AI/Wan2.1-VACE-1.3B | apache-2.0 | `574e6a744642ce3bee319afc31496b88bde8aac4` |
+| google/umt5-xxl | apache-2.0 | `66cb9e7e85526fe440a945569e42c72fb6cbc0ad` |
+| Qwen/Qwen3-VL-8B-Instruct | apache-2.0 | `0c351dd01ed87e9c1b53cbc748cba10e6187ff3b` |
+| laion/CLIP-ViT-H-14-laion2B-s32B-b79K | mit | `1c2b8495b28150b8a4922ee1c8edee224c284c0c` |
+
+Original and derived model components retain their applicable upstream conditions. No dataset redistribution rights are granted by these model licenses. The full Apache 2.0 license text is included. MIT-licensed LAION/OpenCLIP components retain the upstream notice in MIT-OpenCLIP.txt when present.
+
+Public redistribution does not mean these are new training runs, verified robot policies, or reproduced paper metrics. No raw dataset, credentials, account files or training logs are included.

README.md

@@ -91,12 +91,18 @@ DiT、T5 的 shard 列表传给一个 `ModelConfig(path=[...])`，再加入 VAE
 `native_reader_validation.json` 使用原生 safetensors CPU reader 验证所有
 名称、形状和 dtype，未实例化模型/分配 GPU。
 
-整个目录可作为 **private HF model repo** 的上传目录（含模型/权重 README）。
+整个目录可作为 **public HF model repo** 的上传目录（含模型/权重 README）。
 如只发布自训产物，可仅上传 `checkpoints/` 和 `research/`，依赖官方基座。
-本地分片流程**没有运行网络上传**；本包分发目标为 `diffusion-gif/any2ego` 私有模型仓。GitHub token
+本地分片流程**没有运行网络上传**；本包分发目标为 `diffusion-gif/any2ego` 公开模型仓。GitHub token
 不能用于 HF。不保存或打包密钥。可在 HF 单独建 repo 后使用 `hf upload`
 或 huggingface_hub 上传目录；Wan 模型资源布局需保留不变。
 
 ## 分发与导出记录
 
-分发目标：`diffusion-gif/any2ego`，`model`，Private。基座与自训权重未合并，原张量内容未改变。`bundle_manifest.json` 中的 `upload_run=false` 等运行字段描述原始**本地导出阶段**，不是此 HF 仓库的传输状态。分发版只调整 README 的分发说明并相应更新文件校验清单；数据和密钥不在包内。
+分发目标：`diffusion-gif/any2ego`，`model`，Public。基座与自训权重未合并，原张量内容未改变。`bundle_manifest.json` 中的 `upload_run=false` 等运行字段描述原始**本地导出阶段**，不是此 HF 仓库的传输状态。分发版只调整 README 的分发说明并相应更新文件校验清单；数据和密钥不在包内。
+
+## Public distribution status
+
+Repository: `diffusion-gif/any2ego` (`model`, Public). All listed tensor files are complete and remote hashes verified.
+Source export execution booleans describe the original local export, not current Hub upload status.
+See `LICENSES/UPSTREAM.md` for upstream attribution and component licenses.

bundle_manifest.json

@@ -3,10 +3,10 @@
   "status": "complete",
   "created_at_UTC": "2026-11-02T14:44:04.758486+00:00",
   "sources": {
-    "project_root": "/pfs/zhangyuxuan/ego-exo/egoexo_gen",
-    "wan_base": "/pfs/shared_models/Wan2.1-VACE-1.3B",
-    "vlm_base": "/pfs/shared_models/Qwen3-VL-8B-Instruct",
-    "clip_base": "/pfs/shared_models/CLIP-ViT-H-14-laion2B-s32B-b79K",
+    "project_root": "/local/workspace/ego-exo/egoexo_gen",
+    "wan_base": "/local/workspace/Wan2.1-VACE-1.3B",
+    "vlm_base": "/local/workspace/Qwen3-VL-8B-Instruct",
+    "clip_base": "/local/workspace/CLIP-ViT-H-14-laion2B-s32B-b79K",
     "max_file_bytes": 5000000000
   },
   "max_file_bytes": 5000000000,
@@ -176,8 +176,8 @@
   "files": [
     {
       "path": "README.md",
-      "bytes": 6249,
-      "sha256": "ab3d52dfcbe208855e491e87289fe5e9eed25047d5c4f2c8a2a49948b7b5e5c7"
+      "bytes": 6575,
+      "sha256": "1e7edae3c7bea01e80cc0a18228f7ec953c3797a62b14387eabffd5c1dd653f7"
     },
     {
       "path": "checkpoints/caption_grpo/adapter_config.json",
@@ -396,8 +396,8 @@
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       "path": "models/Wan2.1-VACE-1.3B/README.md",
-      "bytes": 483,
-      "sha256": "6bd8ab0b7ed64223fe254bfdee66bef4069801fe975ceccff2bdd0708ba321ac"
+      "bytes": 482,
+      "sha256": "8bf02735cc5814884d807fb3394ae269050daf72078793936342bc39a9afe122"
     },
     {
       "path": "models/Wan2.1-VACE-1.3B/Wan2.1_VAE.pth",
@@ -461,8 +461,8 @@
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-      "bytes": 26445,
-      "sha256": "b2cc0414f6693d95f0486fe9cf1e60b8f9757b6a578855421c1a3bc50e14feae"
+      "bytes": 26443,
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     },
     {
       "path": "models/Wan2.1-VACE-1.3B/transformer/README.md",
@@ -486,8 +486,8 @@
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       "path": "models/Wan2.1-VACE-1.3B/transformer/reshard_manifest.json",
-      "bytes": 133137,
-      "sha256": "c73909909d5241a3816896220a2b72705c0078fbf034848b154183aada36e6c8"
+      "bytes": 133135,
+      "sha256": "93d16bdae394ebbd94bad8da1b385b8a1e655878821572e314fa16a15e859c63"
     },
     {
       "path": "native_reader_validation.json",
@@ -553,9 +553,24 @@
       "path": "tools/verify_model_bundle.py",
       "bytes": 1785,
       "sha256": "c602d4305f59c388105765835b3b7d9cacf2181e8494014fea7f0dc57e728cb8"
+    },
+    {
+      "path": "LICENSES/Apache-2.0.txt",
+      "bytes": 11357,
+      "sha256": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4"
+    },
+    {
+      "path": "LICENSES/MIT-OpenCLIP.txt",
+      "bytes": 1229,
+      "sha256": "4a5b4f13ea4792a8211a69f32d2b460b6d520e57cd23c6301e707c76a6e97a55"
+    },
+    {
+      "path": "LICENSES/UPSTREAM.md",
+      "bytes": 953,
+      "sha256": "04a70a4302ad5ce449684fc43968bde65420dae210ba0ccb55d9f5bbd908b272"
     }
   ],
-  "total_file_bytes": 46092480857,
+  "total_file_bytes": 46092494717,
   "largest_file_bytes": 4999831048,
   "native_reader": "safetensors.safe_open(framework=pt, device=cpu), slices only",
   "validation": {
@@ -573,8 +588,9 @@
   "distribution": {
     "repo_id": "diffusion-gif/any2ego",
     "repo_type": "model",
-    "visibility": "private",
+    "visibility": "public",
     "source_export_manifest_sha256": "f17006bbe222737d8dd9e4cb827bd54f090c59f02762dfef9a9c5928a1caf117",
-    "note": "Execution booleans above refer to original local export; README distribution text normalized."
+    "note": "Execution booleans above refer to original local export; README distribution text normalized.",
+    "publication_phase": "complete"
   }
 }

models/Wan2.1-VACE-1.3B/README.md

@@ -4,4 +4,4 @@ Upstream: Wan-AI/Wan2.1-VACE-1.3B, original LICENSE.txt included. Not trained
 Any2Ego branches. Native DiT/VACE is in transformer/; native BF16 umT5 is in
 text_encoder/. Supply shard lists to separate ModelConfig objects. VAE and
 umt5 tokenizer stay unchanged. See the parent README/code_support for loading.
-This is not a diffusers/Transformers architecture conversion; see the private parent repository for distribution.
+This is not a diffusers/Transformers architecture conversion; see the public parent repository for distribution.

models/Wan2.1-VACE-1.3B/text_encoder/reshard_manifest.json

@@ -2,7 +2,7 @@
   "spec": {
     "source": {
       "type": "torch_zip_state_dict",
-      "path": "/pfs/shared_models/Wan2.1-VACE-1.3B/models_t5_umt5-xxl-enc-bf16.pth",
+      "path": "/local/workspace/Wan2.1-VACE-1.3B/models_t5_umt5-xxl-enc-bf16.pth",
       "metadata_loader": "weights_only=True, mmap=True, FakeTensorMode",
       "torch_version": "2.11.0+cu130"
     },

models/Wan2.1-VACE-1.3B/transformer/reshard_manifest.json

@@ -2,7 +2,7 @@
   "spec": {
     "source": {
       "type": "single_safetensors",
-      "path": "/pfs/shared_models/Wan2.1-VACE-1.3B/diffusion_pytorch_model.safetensors"
+      "path": "/local/workspace/Wan2.1-VACE-1.3B/diffusion_pytorch_model.safetensors"
     },
     "source_files": [
       {