README.md

metadata

license: mit
base_model:
  - stabilityai/stable-diffusion-xl-base-1.0
pipeline_tag: image-to-image
tags:
  - image-to-image
  - StableDiffusionXLControlNetInpaintPipeline
  - stable-diffusion-xl
  - lora
  - diffusers
  - template:sd-lora
  - inpainting
  - light-estimation
  - relighting
instance_prompt: >-
  a perfect mirrored reflective chrome ball sphere, a perfect black dark
  mirrored reflective chrome ball sphere
inference: false

DiffusionLight's TurboLoRA

Project Page | Code

[

DiffusionLight-Turbo 30 seconds			DiffusionLight-Turbo 30 seconds			DiffusionLight-Turbo 30 seconds			DiffusionLight-Turbo 30 seconds
DiffusionLight 30 Minutes			DiffusionLight 30 Minutes			DiffusionLight 30 Minutes			DiffusionLight 30 Minutes
	Normally exposed	Under​exposed		Normally exposed	Under​exposed		Normally exposed	Under​exposed		Normally exposed	Under​exposed

Usage

This repository is the weight for an example code that shows how to implement DiffusionLight-Turbo inpaint.py in Diffusers 0.33.0

We recommend checking out Github Repository: Github

Note that the Weight is the same as 'DiffusionLight/Flicker2k', but due to diffusers 0.33.0 breaking the compatibility, we have to store it in a separate model.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Trigger words

Chromeball	Prompt
Normally exposed	a perfect mirrored reflective chrome ball sphere
Underexposed	a perfect black dark mirrored reflective chrome ball sphere

Citation

@inproceedings{Chinchuthakun2025DiffusionLightTurbo,
  author = {Chinchuthakun, Worameth and Phongthawee, Pakkapon and Raj, Amit and Jampani, Varun and Khungurn, Pramook and Suwajanakorn, Supasorn},
  title = {DiffusionLight-Turbo: Accelerated Light Probes for Free via Single-Pass Chrome Ball Inpainting},
  booktitle = {ArXiv},
  year = {2025},
}

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