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ComfyUI SDXL Lightning Performance Test | How & Which to Use | 2,4,8 Steps
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🎨 Dive into the world of ByteDance’s SDXL Lightning with our latest video, as we run speed tests on the common use cases like TXT2IMG, ControlNet, IPAdapter, Inpainting and perform comparisons between the Lora models and the Checkpoint models using ComfyUI.
Model References
This video delves into the Bytedance paper, highlighting its differences from other models like SDXL Turbo. We conduct a speed test between the SDXL base model and the lightning checkpoint models, accompanied by a visual comparison of the generated images to assess quality changes.
Furthermore, we extend our testing to the JuggernautXL checkpoint model, the lightning LORAs, and the JuggernautXL Lightning model. Our evaluation covers various aspects, including TXT2IMG, ControlNet, IPAdapter, and Inpainting.
To conclude, we present a comprehensive table showcasing the overall speed differences in percentage form, offering recommendations on the most suitable model to use based on our experimental findings.
📈 Timestamps:
0:00 - Introduction
1:56 - SDXL Base Speed
2:50 - SDXL Base Quality
3:20 - TXT2IMG
5:16 - ControlNet
6:20 - IPAdapter
7:30 - Inpainting
8:44 - Conclusion
9:55 - Outro
👍 If you're looking to level up your skills with ComfyUI or simply interested in the world of AI computer vision, don't miss out on this in-depth exploration! Hit that like button, subscribe for more content, and let us know your thoughts in the comments below.
Model References
This video delves into the Bytedance paper, highlighting its differences from other models like SDXL Turbo. We conduct a speed test between the SDXL base model and the lightning checkpoint models, accompanied by a visual comparison of the generated images to assess quality changes.
Furthermore, we extend our testing to the JuggernautXL checkpoint model, the lightning LORAs, and the JuggernautXL Lightning model. Our evaluation covers various aspects, including TXT2IMG, ControlNet, IPAdapter, and Inpainting.
To conclude, we present a comprehensive table showcasing the overall speed differences in percentage form, offering recommendations on the most suitable model to use based on our experimental findings.
📈 Timestamps:
0:00 - Introduction
1:56 - SDXL Base Speed
2:50 - SDXL Base Quality
3:20 - TXT2IMG
5:16 - ControlNet
6:20 - IPAdapter
7:30 - Inpainting
8:44 - Conclusion
9:55 - Outro
👍 If you're looking to level up your skills with ComfyUI or simply interested in the world of AI computer vision, don't miss out on this in-depth exploration! Hit that like button, subscribe for more content, and let us know your thoughts in the comments below.
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