---
license: mit
pipeline_tag: image-to-image
tags:
- ControlNetModel
- StableDiffusionXLControlNetInpaintPipeline
- 'ControlNetModel '
- stable-diffusion-xl
- inpainting
- light-estimation
- relighting
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: >-
  a perfect mirrored reflective chrome ball sphere
inference: false
---
# Chromeball SDXL EV0

**THIS IS NOT A PART OF DIFFUSIONLIGHT PAPER**

Use a ControlNet to output the chrome ball from SDXL instead of using LoRA which enables the SDXL Turbo to output lighting in one denosing step 

If the speed is less of a concern for you and want to focus on the quality. Please check out the LoRA model at [DiffusionLight](https://huggingface.co/DiffusionLight/DiffusionLight)

## ControlNet vs LoRA: The SDXL Turbo

TODO: I will explained later that SDXL Turbo makes LoRA impossible to give an input signal in one step. So, we use a control to guide output instead


## Download model

Weights for this model are available in Safetensors format.

[Download](/DiffusionLight/DiffusionLight/tree/main) them in the Files & versions tab.

## Trigger words

| Chromeball      | Prompt |
| ----------- | ----------- |
| EV0       | a perfect mirrored reflective chrome ball sphere        |

## Chromeball generation
TODO: I will update how to generate chrome ball from controlnet in one Unet pass. 


PS. This repo is currently supported outing the EV0. We might support different EV in the future.