metadata
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
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 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.