Upload 20 files

LICENSE

@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or Derivative
+          Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright 2026 The InGuard Authors
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

README.md

@@ -0,0 +1,115 @@
+---
+license: apache-2.0
+library_name: pytorch
+tags:
+- text-to-image
+- safety
+- guardrail
+- content-moderation
+- pytorch
+base_model:
+- Tongyi-MAI/Z-Image-Turbo
+- Qwen/Qwen-Image-2512
+- hunyuanvideo-community/HunyuanImage-2.1-Diffusers
+- black-forest-labs/FLUX.2-klein-base-9B
+- InternVL-U/InternVL-U
+---
+
+# InGuard Released Weights
+
+This repository contains the released guardrail heads for
+[InGuard](https://github.com/Alibaba-AAIG/InGuard), an in-pipeline safety
+framework for text-to-image generation. It does not contain the five base
+text-to-image models.
+
+For each supported model, the release provides:
+
+- a PE-MLP classifier operating on text-encoder embeddings; and
+- a ConvNeXt-Base detector operating on an intermediate latent estimate.
+
+## Supported models
+
+| Model key | PE-MLP input dimension | Latent channels | Detection step |
+|---|---:|---:|---:|
+| `z-image-turbo` | 2560 | 16 | 3 |
+| `qwen-image-2512` | 3584 | 16 | 4 |
+| `hunyuan-image-2_1` | 3584 | 64 | 4 |
+| `flux2-klein-base-9b` | 12288 | 32 | 4 |
+| `internvl-u` | 4096 | 16 | 8 |
+
+`Detection step` uses zero-based indexing and refers to the default deployed
+configuration in the InGuard code repository.
+
+## Repository layout
+
+```text
+.
+├── latent_detector/
+│   └── <model>/
+│       ├── model.pth
+│       └── config.json
+├── pe_mlp/
+│   └── <model>/
+│       └── model.pth
+└── manifest.json
+```
+
+The PE-MLP checkpoints contain `input_dim`, `hidden_dim`, `num_layers`, and
+`dropout` together with `model_state_dict`; no separate PE-MLP config file is
+required. Training optimizer states have been removed from all released
+checkpoints.
+
+## Download and verify
+
+```bash
+git clone https://github.com/Alibaba-AAIG/InGuard.git
+cd InGuard
+hf download Alibaba-AAIG/InGuard --local-dir weights
+pip install -r requirements.txt
+python scripts/verify_pipeline.py \
+  --model z-image-turbo \
+  --stage components \
+  --device cpu
+```
+
+Use `--stage quick` for file and manifest checks. End-to-end generation also
+requires the corresponding base model and a suitable GPU; see the main
+InGuard README for complete instructions.
+
+## Intended use
+
+These weights are intended for research on generation-time safety screening,
+prompt-embedding enhancement, and intermediate-latent risk detection with the
+supported base models.
+
+They are not a standalone image-generation model and must not be treated as a
+complete content-safety solution. Performance can vary across prompts,
+languages, model revisions, sampling settings, and content outside the
+released evaluation distribution. Users remain responsible for downstream
+validation and compliance with applicable law and platform policy.
+
+## Base-model terms
+
+The supported base models are not redistributed here. Download them from their
+respective providers and comply with their individual licenses and access
+terms.
+
+## License
+
+The InGuard guardrail weights are released under the Apache License 2.0. See
+`LICENSE` for details.
+
+## Citation
+
+```bibtex
+@article{wang2026inguard,
+  title   = {InGuard: Towards Generalized Inner Guardrail for
+             Safe Text-to-Image Generation},
+  author  = {Wang, Zeyu and Li, Xiaodan and Li, Zhiwen and
+             Chen, Yuefeng and Xue, Hui},
+  journal = {arXiv preprint arXiv:2609.27620},
+  year    = {2026},
+  doi     = {10.48550/arXiv.2609.27620},
+  url     = {https://arxiv.org/abs/2609.27620}
+}
+```

latent_detector/flux2-klein-base-9b/config.json

@@ -0,0 +1,16 @@
+{
+  "backbone": "convnext_base",
+  "latent_stem_type": "single",
+  "latent_stem_init": "trunc_normal",
+  "num_porn_classes": 2,
+  "num_gore_classes": 2,
+  "latent_stretch_target_hw": [
+    224,
+    224
+  ],
+  "latent_preprocess_style": "stretch",
+  "model_name": "flux2-klein-base-9b",
+  "training_pool": "50k",
+  "training_method": "Latent + distill pretrain (stage-wise) + finetune",
+  "latent_in_chans": 32
+}

latent_detector/flux2-klein-base-9b/model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a30a6853ec8c581259b3efedf7fd0b9db2e28bbc6565d69a42aea4f0a0708f7
+size 363285587

latent_detector/hunyuan-image-2_1/config.json

@@ -0,0 +1,16 @@
+{
+  "backbone": "convnext_base",
+  "latent_stem_type": "single",
+  "latent_stem_init": "trunc_normal",
+  "num_porn_classes": 2,
+  "num_gore_classes": 2,
+  "latent_stretch_target_hw": [
+    224,
+    224
+  ],
+  "latent_preprocess_style": "stretch",
+  "model_name": "hunyuan-image-2_1",
+  "training_pool": "50k",
+  "training_method": "Latent + distill pretrain (stage-wise) + finetune",
+  "latent_in_chans": 64
+}

latent_detector/hunyuan-image-2_1/model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:afc20c391e3921fc387a952b28674df1b4d3cb2988862995b93a6228d3fc5378
+size 363547731

latent_detector/internvl-u/config.json

@@ -0,0 +1,16 @@
+{
+  "backbone": "convnext_base",
+  "latent_stem_type": "single",
+  "latent_stem_init": "trunc_normal",
+  "num_porn_classes": 2,
+  "num_gore_classes": 2,
+  "latent_stretch_target_hw": [
+    224,
+    224
+  ],
+  "latent_preprocess_style": "stretch",
+  "model_name": "internvl-u",
+  "training_pool": "50k",
+  "training_method": "Latent + distill pretrain (stage-wise) + finetune",
+  "latent_in_chans": 16
+}

latent_detector/internvl-u/model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:222da80785323ae5774cf5e827c13926e469ce11f7403ed069c42f9cccde319b
+size 363154515

latent_detector/qwen-image-2512/config.json

@@ -0,0 +1,16 @@
+{
+  "backbone": "convnext_base",
+  "latent_stem_type": "single",
+  "latent_stem_init": "trunc_normal",
+  "num_porn_classes": 2,
+  "num_gore_classes": 2,
+  "latent_stretch_target_hw": [
+    224,
+    224
+  ],
+  "latent_preprocess_style": "stretch",
+  "model_name": "qwen-image-2512",
+  "training_pool": "50k",
+  "training_method": "Latent + distill pretrain (stage-wise) + finetune",
+  "latent_in_chans": 16
+}

latent_detector/qwen-image-2512/model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91706b29f585ae0cc72d67e4558ecad4238dea18aabc7363bfbb95d17a3256c4
+size 363154515

latent_detector/z-image-turbo/config.json

@@ -0,0 +1,16 @@
+{
+  "backbone": "convnext_base",
+  "latent_stem_type": "single",
+  "latent_stem_init": "trunc_normal",
+  "num_porn_classes": 2,
+  "num_gore_classes": 2,
+  "latent_stretch_target_hw": [
+    224,
+    224
+  ],
+  "latent_preprocess_style": "stretch",
+  "model_name": "z-image-turbo",
+  "training_pool": "50k",
+  "training_method": "Latent + distill pretrain (stage-wise) + finetune",
+  "latent_in_chans": 16
+}

latent_detector/z-image-turbo/model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7c2b406a8dd961c014443971498778193a8973a833cb3088a8b012b57a4dbb66
+size 363154515

manifest.json

@@ -0,0 +1,51 @@
+{
+  "latent_detector": {
+    "z-image-turbo": {
+      "status": "ok",
+      "checkpoint": "model.pth",
+      "latent_in_chans": 16
+    },
+    "qwen-image-2512": {
+      "status": "ok",
+      "checkpoint": "model.pth",
+      "latent_in_chans": 16
+    },
+    "hunyuan-image-2_1": {
+      "status": "ok",
+      "checkpoint": "model.pth",
+      "latent_in_chans": 64
+    },
+    "flux2-klein-base-9b": {
+      "status": "ok",
+      "checkpoint": "model.pth",
+      "latent_in_chans": 32
+    },
+    "internvl-u": {
+      "status": "ok",
+      "checkpoint": "model.pth",
+      "latent_in_chans": 16
+    }
+  },
+  "pe_mlp": {
+    "z-image-turbo": {
+      "status": "ok",
+      "checkpoint": "model.pth"
+    },
+    "qwen-image-2512": {
+      "status": "ok",
+      "checkpoint": "model.pth"
+    },
+    "hunyuan-image-2_1": {
+      "status": "ok",
+      "checkpoint": "model.pth"
+    },
+    "flux2-klein-base-9b": {
+      "status": "ok",
+      "checkpoint": "model.pth"
+    },
+    "internvl-u": {
+      "status": "ok",
+      "checkpoint": "model.pth"
+    }
+  }
+}

pe_mlp/flux2-klein-base-9b/model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13900b727aa27571beaa6d884faa6e4ad09fcfa1efc67d96fd38708da782f2b2
+size 63052393

pe_mlp/hunyuan-image-2_1/model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c9fde6137684493e0b1c34965c2823108d64c15dd4bbb949fa50de4f7bcc049
+size 27400809

pe_mlp/internvl-u/model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16a75a6c629443e7e00ba12bbd7bd933b55551dc8f4133c3233507a6a9cb0fa0
+size 29497961

pe_mlp/qwen-image-2512/model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9017e5e0b845aa15bed5ffa7f899c91400be622abc8d7e3005dfa57a738a56f8
+size 27400809

pe_mlp/z-image-turbo/model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53d0ee5a53a16648c03926672c45680c1907d9cc113f1bb6b70c746229d9cf30
+size 23206505