Upload official DualDiff checkpoint

.gitattributes

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README.md

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+---
+license: other
+library_name: diffusers
+pipeline_tag: image-to-image
+base_model: stabilityai/sd-turbo
+tags:
+  - image-restoration
+  - novel-view-synthesis
+  - 3d-gaussian-splatting
+  - dualdiff3d
+---
+
+# DualDiff
+
+Official DualDiff repair checkpoint for
+[DualDiff3D](https://github.com/Akaneqwq/DualDiff3D).
+
+DualDiff repairs a degraded novel-view rendering using its structure together
+with the appearance of a nearby reference image.
+
+## Usage
+
+The DualDiff3D code downloads this checkpoint automatically:
+
+```bash
+python -m DualDiff.hub
+```
+
+Run image-pair inference:
+
+```bash
+python DualDiff/infer.py \
+  --input_image /path/to/degraded_render.png \
+  --ref_image /path/to/reference.png \
+  --output_dir outputs/repair
+```
+
+The checkpoint contains the complete structure and appearance U-Net state
+dictionaries plus the trained VAE LoRA and skip-connection parameters. It does
+not contain optimizer state. The SD-Turbo VAE, text encoder, tokenizer,
+scheduler, and base configuration are loaded separately by the code.
+
+## Citation
+
+```bibtex
+@inproceedings{wang2026dualdiff3d,
+  title     = {DualDiff3D: Dual Structure-Appearance Diffusion
+               Priors for Reliability-Enhanced 3D Gaussian Splatting},
+  author    = {Qian Wang and Yu Wang and Weiqi Li and Xinhua Cheng
+               and Xiandong Meng and Ronggang Wang and Jian Zhang},
+  booktitle = {European Conference on Computer Vision (ECCV)},
+  year      = {2026}
+}
+```
+
+## License
+
+The DualDiff code is released under Apache-2.0. This checkpoint is derived from
+[SD-Turbo](https://huggingface.co/stabilityai/sd-turbo); use of the checkpoint
+is also subject to the applicable SD-Turbo model license.

model.manifest.json

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+{
+  "format": "DualDiff inference checkpoint",
+  "model": "DualDiff",
+  "optimizer_removed": true,
+  "file": "model.pkl",
+  "size_bytes": 3466253977,
+  "sha256": "485ce47f2c2f18bfb54ea1ffc1908fce12e7ef1d98cc4e0f7e39afe3d01cf248",
+  "rank_vae": 4,
+  "vae_lora_target_modules": 43,
+  "state_dicts": {
+    "state_dict_unet": {
+      "entries": 686,
+      "tensors": 686,
+      "parameters": 865910724,
+      "dtypes": [
+        "torch.bfloat16"
+      ]
+    },
+    "state_dict_vae": {
+      "entries": 90,
+      "tensors": 90,
+      "parameters": 1015452,
+      "dtypes": [
+        "torch.bfloat16"
+      ]
+    },
+    "state_dict_ref_unet": {
+      "entries": 686,
+      "tensors": 686,
+      "parameters": 865910724,
+      "dtypes": [
+        "torch.bfloat16"
+      ]
+    }
+  }
+}

model.pkl

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+size 3466253977