Release FlashDelight and FlashRelight inference checkpoints

README.md

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+---
+base_model: Wan-AI/Wan2.1-T2V-1.3B
+pipeline_tag: video-to-video
+tags:
+  - video-relighting
+  - portrait-relighting
+  - pytorch
+  - arxiv:2611.06355
+---
+
+# FlashRelight
+
+Official inference checkpoints for **FlashRelight: Portrait Video Relighting with Dynamic Lighting** (NeurIPS 2026). [Paper](https://arxiv.org/abs/2611.06355) · [Code](https://github.com/vivoCameraResearch/FlashRelight)
+
+FlashDelight suppresses the original lighting in a portrait video. FlashRelight uses the delighted clip to synthesize lighting from an HDR environment map or a reference video. Text control works best with lighting descriptions similar to the training captions. The released models process 49 frames at 480 × 832 pixels.
+
+| Checkpoint | Size | Use |
+| --- | ---: | --- |
+| `flashdelight_rank0_full.pt` | 6.93 GB | First stage. Use it on its own for delighting or as the first step in relighting. |
+| `flashrelight_rank0_full.pt` | 7.04 GB | Second stage. Use it with FlashDelight for relighting. |
+
+## Download
+
+From the FlashRelight code repository, download both checkpoints to the `weights` directory.
+
+```bash
+hf download JiahuiSheng/FlashRelight flashdelight_rank0_full.pt flashrelight_rank0_full.pt --local-dir weights
+```
+
+For standalone delighting, download only `flashdelight_rank0_full.pt`. Both modes also use the shared Wan2.1 configuration, VAE, text encoder, and tokenizer. [Wan2.1 base files](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B)
+
+<details>
+<summary>SHA-256 checksums</summary>
+
+```text
+04925b6ca8a4b537685a2791be65d0a51d2025fba8d2cb4ae17d4bf9530c1f5c  flashdelight_rank0_full.pt
+8b9989cdebd2d9815f3678baf4493fbf7c0ae65fe2c74756769e4f4df1c226d7  flashrelight_rank0_full.pt
+```
+
+</details>

flashdelight_rank0_full.pt

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+oid sha256:04925b6ca8a4b537685a2791be65d0a51d2025fba8d2cb4ae17d4bf9530c1f5c
+size 6932318272

flashrelight_rank0_full.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8b9989cdebd2d9815f3678baf4493fbf7c0ae65fe2c74756769e4f4df1c226d7
+size 7044091124