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--- |
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license: mit |
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pipeline_tag: image-to-image |
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tags: |
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- ControlNetModel |
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- StableDiffusionXLControlNetInpaintPipeline |
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- 'ControlNetModel ' |
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- stable-diffusion-xl |
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- inpainting |
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- light-estimation |
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- relighting |
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base_model: stabilityai/stable-diffusion-xl-base-1.0 |
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instance_prompt: >- |
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a perfect mirrored reflective chrome ball sphere |
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inference: false |
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--- |
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# Chromeball SDXL EV0 |
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**THIS IS NOT A PART OF DIFFUSIONLIGHT PAPER** |
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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 |
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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) |
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## ControlNet vs LoRA: The SDXL Turbo |
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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 |
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## Download model |
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Weights for this model are available in Safetensors format. |
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[Download](/DiffusionLight/DiffusionLight/tree/main) them in the Files & versions tab. |
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## Trigger words |
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| Chromeball | Prompt | |
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| ----------- | ----------- | |
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| EV0 | a perfect mirrored reflective chrome ball sphere | |
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## Chromeball generation |
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TODO: I will update how to generate chrome ball from controlnet in one Unet pass. |
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PS. This repo is currently supported outing the EV0. We might support different EV in the future. |
