NOOBAI XL-VPred 1.0 has been released! The V prediction series has come to a successful end, and what an interesting journey it has been. Who knows, we might have the chance to do this again in the future. With this, our Laxhar Lab's weekly update plan comes to a grand finale!
By the way, here are the advantages of this version:
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Fine-tuned with high-quality datasets: We have optimized the model for anatomical accuracy and compositional rationality through meticulous adjustments with high-quality datasets.
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Flexible style combination weights: The model now offers more flexibility in combining different painting styles, with improved robustness when overlaying multiple styles.
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Enhanced utility of quality words: The effectiveness of quality words has become more pronounced in this version.
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A blend of features from the standard and S versions: The color style is vibrant yet less prone to overexposure, combining the best of both worlds.
Usage recommendations and future work:
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Use with dynamic CFG plugin: We recommend using the dynamic CFG & CFG Rescale plugin when employing the V prediction model to prevent oversaturation or overly gray images. You can refer to the configuration of 0.2 for the best results.
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Choice of sampling methods: Although NOOBAI XL-VPred 1.0 supports most sampling methods, V prediction does not support the Karras series of sampling. Therefore, we suggest using Euler and DDIM sampling methods for more stable outcomes.
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Ongoing updates and support: We will continue to update VPred 1.0, including the ControlNet model and other plugins. The main model will also be updated irregularly when there are significant improvements (let's see how the DIT effect of NAI4 is and learn from it), so stay tuned!
Original Source: https://civitai.com/models/833294?modelVersionId=1190596