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README.md

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+---
+license: mit
+language:
+  - en
+pipeline_tag: image-to-image
+library_name: pytorch
+tags:
+  - e3diff
+  - diffusion
+  - sar-to-optical
+  - image-translation
+  - checkpoint
+---
+
+> [!WARNING] we do not have a full checkpoint conversion validation, if you encounter pipeline loading failure and unsidered output, please contact me via bili_sakura@zju.edu.cn
+
+# BiliSakura/E3Diff-ckpt
+
+Packaged E3Diff checkpoint for use with `examples/community/e3diff` in `pytorch-image-translation-models`.
+
+## Source repository
+
+- E3Diff (official): [DeepSARRS/E3Diff](https://github.com/DeepSARRS/E3Diff)
+- Community implementation used here: [Bili-Sakura/pytorch-image-translation-models](https://github.com/Bili-Sakura/pytorch-image-translation-models)
+
+## Variants
+
+| Variant directory | Notes |
+| --- | --- |
+| `SEN12 ` | Flat diffusion checkpoint export (`config.json` + `diffusion_pytorch_model.safetensors`) |
+
+## Repository layout
+
+```text
+E3Diff-ckpt/
+  SEN12 /
+    config.json
+    diffusion_pytorch_model.safetensors
+```
+
+## Usage
+
+Load config and weights from the variant directory directly:
+
+- `config`: `SEN12 /config.json`
+- `weights`: `SEN12 /diffusion_pytorch_model.safetensors`
+
+### Inference demo (pipeline)
+
+```python
+from PIL import Image
+
+from examples.community.e3diff import E3DiffPipeline
+
+pipe = E3DiffPipeline.from_pretrained(
+    "/path/to/E3Diff-ckpt/SEN12 ",
+    device="cuda",
+)
+
+sar = Image.open("/path/to/sar_input.png").convert("RGB")
+out = pipe(source_image=sar, num_inference_steps=50, eta=0.8, output_type="pil")
+out.images[0].save("e3diff_output.png")
+```
+
+## Citation
+
+```bibtex
+@ARTICLE{10767752,
+  author={Qin, Jiang and Zou, Bin and Li, Haolin and Zhang, Lamei},
+  journal={IEEE Geoscience and Remote Sensing Letters},
+  title={Efficient End-to-End Diffusion Model for One-step SAR-to-Optical Translation},
+  year={2024},
+  pages={1-1},
+  doi={10.1109/LGRS.2024.3506566}
+}
+```

SEN12 /config.json

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+{
+  "format_version": 1,
+  "source_checkpoint": "/root/worksapce/models/raw/E3Diff/I700000_E719_gen.pth",
+  "pipeline": "examples.community.e3diff",
+  "artifact": "diffusion",
+  "unet_config": {
+    "out_channel": 3,
+    "inner_channel": 64,
+    "norm_groups": 32,
+    "channel_mults": [
+      1,
+      2,
+      4,
+      8,
+      16
+    ],
+    "attn_res": [],
+    "res_blocks": 1,
+    "dropout": 0.0,
+    "image_size": 256,
+    "condition_ch": 3
+  },
+  "diffusion_config": {
+    "image_size": 256,
+    "channels": 3,
+    "loss_type": "l1",
+    "conditional": true,
+    "xT_noise_r": 0.1,
+    "n_timestep": 1000,
+    "schedule": "linear"
+  }
+}

SEN12 /diffusion_pytorch_model.safetensors

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