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README.md

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+---
+license: apache-2.0
+library_name: diffusers
+tags:
+- relighting
+- indoor
+- video-diffusion
+base_model: stabilityai/stable-video-diffusion-img2vid-xt
+pipeline_tag: image-to-image
+---
+
+# LightShift
+
+**LightShift: Controllable Indoor Relighting via Video Diffusion Priors**
+
+This repository contains the fine-tuned UNet checkpoint for LightShift, a controllable indoor relighting method that repurposes Stable Video Diffusion for image-based relighting.
+
+## Usage
+
+This checkpoint is compatible with the [Diffusers](https://github.com/huggingface/diffusers) library. See the code and inference scripts at [Pensioner-11/LightShift](https://github.com/Pensioner-11/LightShift).
+
+```python
+from diffusers import StableVideoDiffusionPipeline
+
+pipe = StableVideoDiffusionPipeline.from_pretrained(
+    "Pensioner/LightShift",
+    torch_dtype=torch.float16,
+).to("cuda")
+```
+
+## Model Description
+
+- **Base model:** [stabilityai/stable-video-diffusion-img2vid-xt](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt)
+- **Fine-tuned component:** UNet
+- **Training steps:** 200,000
+
+## Citation
+
+Citation information will be updated after publication.