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Prompting Tip: While the model can be prompted with tags, natural language, and a mix of the two, the merging process has resulted in overlap of tags that mean one thing and the same words that can mean something else. If you find a certain character tag weak or otherwise "off", place a comma at the end of it. (Example: "ikari shinji," instead of just "ikari shinji") A quirk of fine-tuned tag-based models is that the commas that seperate the tags in the training captions matter when prompting the resulting model. Commas aren't always necessary, especially if you're able to give supporting words that act as reinforcment for a specific tag, but sometimes a comma is needed for a full character likness. This can extend to artist tags and more niche concept tags.
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<strike>[November 15th, 2024]
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EasyFluffXL-V added, a re-merged V-Prediction checkpoint that should allow higher CFG without burning and collapsing. 4-6 CFG range seems ideal now instead of 3-4. Ancestral samlpers are still quite sensitive to higher CFG, so be careful. I advise avoiding VpredIter and Vpred checkpoints but they will be left up for posterity.</strike>
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Prompting Tip: While the model can be prompted with tags, natural language, and a mix of the two, the merging process has resulted in overlap of tags that mean one thing and the same words that can mean something else. If you find a certain character tag weak or otherwise "off", place a comma at the end of it. (Example: "ikari shinji," instead of just "ikari shinji") A quirk of fine-tuned tag-based models is that the commas that seperate the tags in the training captions matter when prompting the resulting model. Commas aren't always necessary, especially if you're able to give supporting words that act as reinforcment for a specific tag, but sometimes a comma is needed for a full character likness. This can extend to artist tags and more niche concept tags.
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[November 18th, 2024]
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Upon further inspection, the original V-Prediction 0.5 version of NoobAI-XL officially added natural language captions to their dataset and I've observed that the raw model now responds to natural language prompts better than 1.0. Due to this, I'm holding off on any further merging and letting the upstream V-Prediction model become more trained as that will offer much more versatility for future merging with the goal of better prompt adherance with natural langauge prompting.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6303c596a362e7e8b51b5d89/-1M-oAgHpyuQdxyh25iB3.png)
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<strike>[November 15th, 2024]
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EasyFluffXL-V added, a re-merged V-Prediction checkpoint that should allow higher CFG without burning and collapsing. 4-6 CFG range seems ideal now instead of 3-4. Ancestral samlpers are still quite sensitive to higher CFG, so be careful. I advise avoiding VpredIter and Vpred checkpoints but they will be left up for posterity.</strike>
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