<h1 id="stabilizer"><s>Stabilizer</s></h1>Name is misleading. This is NOT a LoRA that can magically fix your overfitted merged base model.This is a finetuned model from pretrained model. But trained as a LoRA.<ul><li>11k images. No bias, no default style.</li><li>Zero smooth plastic glossy AI image in dataset. Glossy Al images are polluting the world, but not on my watch, I handpicked every single image.</li><li>Natural language captions from Gemini, rather than tags in random order with high FPR.</li><li>Standard noise scheduler. Inpainting/img2img friendly.</li></ul>Improvements:You can get the style exactly as it should be (as long as the model knows).Comparisons with pretrained base model:<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/images/84145167">https://civarchive.com/images/84145167</a> (general styles, you get the style exactly as it should be)</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/images/84256995">https://civarchive.com/images/84256995</a> (artist styles, no style shifting because this model does not have bias)</li></ul>See more xy plots in cover images.Why LoRA?<ul><li>This LoRA is a <a target="_blank" rel="ugc" href="https://developer.nvidia.com/blog/introducing-dora-a-high-performing-alternative-to-lora-for-fine-tuning/">DoRA</a> (from Nvidia), which is more efficient than traditional LoRA.</li><li>Enough for thousands of training images.</li><li>What? You prefer to download and store a 7GiB checkpoint than a 80Mib LoRA?</li></ul>Share merges using this model is prohibited. FYI, there are hidden trigger words to print invisible watermark. I coded the watermark and detector myself. I don't want to use it, but I can.This model only published on Civitiai and TensorArt. If you see "me" and this sentence in other platforms, all those are fake and the platform you are using is a pirate platform.<hr /><h2 id="how-to-use">How to use</h2>It is highly recommended that you use pretrained base model.And load this LoRA with strength 1.Versions:<ul><li>cknb (<a target="_blank" rel="ugc" href="https://civarchive.com/models/2167995">ChenkinNoob-XL</a>).</li><li>nbvp10 (<a target="_blank" rel="ugc" href="https://civarchive.com/models/833294?modelVersionId=1190596">NoobAI v-pred v1.0</a>). FYI: you don't need CFG hacks (RescaleCFG etc.).</li><li>nbep10 (<a target="_blank" rel="ugc" href="https://civarchive.com/models/833294?modelVersionId=1116447">NoobAI eps v1.0</a>).</li><li>illus01 (Illustrious v0.1).</li></ul>Load this LoRA firstThis LoRA uses a new arch called <a target="_blank" rel="ugc" href="https://developer.nvidia.com/blog/introducing-dora-a-high-performing-alternative-to-lora-for-fine-tuning/">DoRA</a> from Nvidia, more efficient than traditional LoRA. But the patch weight is dynamically calculated based on the currently loaded base model weights (which will be changed when you loading other LoRAs). To avoid unexpected changes, load this LoRA first.Specify styles in promptThis model does not have an strong default style and is very creative. You must specify the style you want in the prompt.<hr />If you want to use it on finetuned/merged base models:I personally disagree this. This is not the model's original intention. But this is a LoRA after all.Be aware:This LoRA can't remove glossy shiny plastic AI style. Although the dataset is "AI image free". It can't make AI image polluted 1girl overfitted 50 versions of Nova furry 3D anime WAI or whatever look better. What the model learned is learned. Use a pretrained base model if you want to get rid of overfitted AI style.What is "overfitted AI style"? This is what Craft Lawrence (from spice and wolf) should be, if you've seen the anime: <a target="_blank" rel="ugc" href="https://civarchive.com/images/107381516">img</a>. This is what those AI style polluted 1girl overfitted model generated: <a target="_blank" rel="ugc" href="https://civarchive.com/images/107647042">img</a>Some base models already merged this model. If you got deformed images with this LoRA even at low strength (e.g. &lt;0.5). Your base model has already merged this LoRA (and you merged it twice). And the model weights got multiplied (because how the <a target="_blank" rel="ugc" href="https://developer.nvidia.com/blog/introducing-dora-a-high-performing-alternative-to-lora-for-fine-tuning/">DoRA</a> works) and collapsed.Beware of fake base model creators, aka. thieves. Some "creators" never do the training, they only grab other people's models, merge them, wipe all metadata and credits, and sell it as their own base model.<hr /><h2 id="update-log">Update log</h2>Moved <a target="_blank" rel="ugc" href="https://civarchive.com/articles/22251">here</a>

Stabilizer IL/NAI/CK

illustriousXL_stabilizer_v1.23.safetensors

Stabilizer IL/NAI

Stabilizer illustriousXL/AnimagineXL4.0/NoobAI

illustriousXL/AnimagineXL4.0 Stabilizer

illus01 v1.23

cknb02 v0.304a

cknb02 v0.299a

nbvpred10 v0.280a

nbep10 v0.273

nbvpred10 v0.271

nbvped10 v0.264

illus01 v1.198

illus01 v1.185c

illus01 v1.165c

illus01 v1.164

illus01 v1.152

nbep11 v0.205

nbep11 v0.198

nbep11 v0.178

illus01 v1.121

illus11 v1.113

illus01 v1.93

nbep11 v0.160

illus01 v1.72

ani40 v0.1

nbep11 v0.138

nbep11 v0.129 (bad)

nbep11 v0.114

nbep11 v0.96

illus v1.7

nbep11 v0.58

nbep11 v0.30

nbep11 v0.11

illus v1.3

nbep10 v0.10

illus v1.0

Trained on a normal and natural dataset. For natural lighting, textures, details...The dataset only has high resolution images. Zero AI image. So you can get texture and details beyond pixel level. Instead of a weird smooth feeling. FYI, all cover images directly come from a1111, no upscale, no inpainting. If you think they are, then this LoRA did its job well.Recent updates:(5/19/2025): Recommend to use illus version of this LoRA even if your base model is NoobAI.Ironically, last time I update. I recommended to use NoobAI version, because I found 95% base models are NoobAI.Well, "you should use LoRA on the base model that it was trained on", that is still true... But may not ideal for natural detail models such as this LoRA.Long story short, I grabbed a 5K dataset and did some big trainings last week, on illus and nbep. I noticed that nbep "refuses" to learn details, even if the training settings are identical and nbep was trained with more steps. So illus versions LoRA always had better effects on both illus and nbep model.I also tried to train on the new Illustrious 2.0, the result is: It is nearly un-trainable, much worse than NoobAi.So my assumption is that it is still the "overfitting" problem, the more a model trained from original SDXL, the more it forgets. And the hard for it to learn things. (?)Anyway, remember to use illus version. For demonstration, all illus01 v1.152 cover images are from NoobAI e-pred v1.1.

v1.23 Illus

<h1 id="stabilizer"><s>Stabilizer</s></h1>Name is misleading. This is NOT a LoRA that can magically fix your overfitted merged base model.This is a finetuned model from pretrained model. But trained as a LoRA.<ul><li>11k images. No bias, no default style.</li><li>Zero smooth plastic glossy AI image in dataset. Glossy Al images are polluting the world, but not on my watch, I handpicked every single image.</li><li>Natural language captions from Gemini, rather than tags in random order with high FPR.</li><li>Standard noise scheduler. Inpainting/img2img friendly.</li></ul>Improvements:You can get the style exactly as it should be (as long as the model knows).Comparisons with pretrained base model:<ul><li><a target="_blank" rel="ugc" href="https://civitai.com/images/84145167">https://civitai.com/images/84145167</a> (general styles, you get the style exactly as it should be)</li><li><a target="_blank" rel="ugc" href="https://civitai.com/images/84256995">https://civitai.com/images/84256995</a> (artist styles, no style shifting because this model does not have bias)</li></ul>See more xy plots in cover images.Why LoRA?<ul><li>This LoRA is a <a target="_blank" rel="ugc" href="https://developer.nvidia.com/blog/introducing-dora-a-high-performing-alternative-to-lora-for-fine-tuning/">DoRA</a> (from Nvidia), which is more efficient than traditional LoRA.</li><li>Enough for thousands of training images.</li><li>What? You prefer to download and store a 7GiB checkpoint than a 80Mib LoRA?</li></ul>Share merges using this model is prohibited. FYI, there are hidden trigger words to print invisible watermark. I coded the watermark and detector myself. I don't want to use it, but I can.This model only published on Civitiai and TensorArt. If you see "me" and this sentence in other platforms, all those are fake and the platform you are using is a pirate platform.<hr /><h2 id="how-to-use">How to use</h2>It is highly recommended that you use pretrained base model.And load this LoRA with strength 1.Versions:<ul><li>cknb (<a target="_blank" rel="ugc" href="https://civitai.com/models/2167995">ChenkinNoob-XL</a>).</li><li>nbvp10 (<a target="_blank" rel="ugc" href="https://civitai.com/models/833294?modelVersionId=1190596">NoobAI v-pred v1.0</a>). FYI: you don't need CFG hacks (RescaleCFG etc.).</li><li>nbep10 (<a target="_blank" rel="ugc" href="https://civitai.com/models/833294?modelVersionId=1116447">NoobAI eps v1.0</a>).</li><li>illus01 (Illustrious v0.1).</li></ul>Load this LoRA firstThis LoRA uses a new arch called <a target="_blank" rel="ugc" href="https://developer.nvidia.com/blog/introducing-dora-a-high-performing-alternative-to-lora-for-fine-tuning/">DoRA</a> from Nvidia, more efficient than traditional LoRA. But the patch weight is dynamically calculated based on the currently loaded base model weights (which will be changed when you loading other LoRAs). To avoid unexpected changes, load this LoRA first.Specify styles in promptThis model does not have an strong default style and is very creative. You must specify the style you want in the prompt.<hr />If you want to use it on finetuned/merged base models:I personally disagree this. This is not the model's original intention. But this is a LoRA after all.Be aware:This LoRA can't remove glossy shiny plastic AI style. Although the dataset is "AI image free". It can't make AI image polluted 1girl overfitted 50 versions of Nova furry 3D anime WAI or whatever look better. What the model learned is learned. Use a pretrained base model if you want to get rid of overfitted AI style.What is "overfitted AI style"? This is what Craft Lawrence (from spice and wolf) should be, if you've seen the anime: <a target="_blank" rel="ugc" href="https://civitai.com/images/107381516">img</a>. This is what those AI style polluted 1girl overfitted model generated: <a target="_blank" rel="ugc" href="https://civitai.com/images/107647042">img</a>Some base models already merged this model. If you got deformed images with this LoRA even at low strength (e.g. &lt;0.5). Your base model has already merged this LoRA (and you merged it twice). And the model weights got multiplied (because how the <a target="_blank" rel="ugc" href="https://developer.nvidia.com/blog/introducing-dora-a-high-performing-alternative-to-lora-for-fine-tuning/">DoRA</a> works) and collapsed.Beware of fake base model creators, aka. thieves. Some "creators" never do the training, they only grab other people's models, merge them, wipe all metadata and credits, and sell it as their own base model.<hr /><h2 id="update-log">Update log</h2>Moved <a target="_blank" rel="ugc" href="https://civitai.com/articles/22251">here</a>

Files with SHA256: a2efee207ab7c8a943b34e0a4e26d52c2bef6f9543709627acf5497b039b26a8