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---
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 Wild 1500
**THIS IS NOT A PART OF DIFFUSIONLIGHT PAPER**
Unlike [Chromeball-sdxl-ev0](https://huggingface.co/pureexe/chromeball-sdxl-ev0) repo, this controlnet is fine-tuned use 1500 in the wild image (Taken from Unsplash) instead of fully synthetic dataset.
We 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.