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noobai_ep10_stabilizer_v0.273_fp16.safetensors

43 MB · SafeTensor · fp16

<stabilizer-nbep10-xl>

Stabilizer 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. - 11k images. No bias, no default style. - 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. - Natural language captions from Gemini, rather than tags in random order with high FPR. - Standard noise scheduler. Inpainting/img2img friendly. Improvements: You can get the style exactly as it should be (as long as the model knows). Comparisons with pretrained base model: - (general styles, you get the style exactly as it should be) - (artist styles, no style shifting because this model does not have bias) See more xy plots in cover images. Why LoRA? - This LoRA is a (from Nvidia), which is more efficient than traditional LoRA. - Enough for thousands of training images. - What? You prefer to download and store a 7GiB checkpoint than a 80Mib LoRA? 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. How to use It is highly recommended that you use pretrained base model. And load this LoRA with strength 1. Versions: - cknb (). - nbvp10 (). FYI: you don't need CFG hacks (RescaleCFG etc.). - nbep10 (). - illus01 (Illustrious v0.1). Load this LoRA first This LoRA uses a new arch called 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 prompt This model does not have an strong default style and is very creative. You must specify the style you want in the prompt. 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: . This is what those AI style polluted 1girl overfitted model generated: Some base models already merged this model. If you got deformed images with this LoRA even at low strength (e.g. <0.5). Your base model has already merged this LoRA (and you merged it twice). And the model weights got multiplied (because how the 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. Update log Moved

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ID modelu ModelTrends.ai

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Měřítko jde od 0° do 9 999°. Vše pod 7,000° je vyhrazeno pro modely, o kterých zatím žádný zdroj nehlásí, a mají tam náhradní číslo, aby seznamy byly kompletní. 7,000° je místo, kde začínají naměřená data: model s reálnými daty, ale téměř žádnými staženími, sedí na základu, a měření přidávají stupně nad něj. Základ nic neříká o modelu; o rozdílu mezi modely rozhodují právě stupně nad ním.

3,282 stažení této přesné verze na Civitai. Stažení jsou nejdůležitější složkou a počítají se na logaritmické škále: desetkrát víc stažení přidá stejných 300°, takže model s milionem stažení není tisíckrát populárnější než ten s tisícem. Pět zdrojů stahování sdílí tento jeden termín, rozdělený mezi ně podle počtu.

354 lajků a palců nahoru napříč zdroji. Lajk váží polovinu stažení, na stejné logaritmické škále.

−492° protože váhy SDXL vyšly v 2023. Každý model zdědí stáří vah, na kterých je postavený: 150° za rok, až do 750°, a tento odečet roste až do té doby. Bez toho by byly na vrcholu seznamu checkpointy z let 2022 a 2023 díky stažením, která měla čas se nahromadit.