<h1 id="aingdiffusion-xl-has-been-considered-as-abandonware-please-move-to-urangdiffusion.-3k2pck320">AingDiffusion XL has been considered as abandonware, please move to <a target="_blank" rel="ugc" href="https://civarchive.com/models/537384">UrangDiffusion</a>.</h1><h1 id="read-the-user-guide-below!-hpltdmpgs">Read the user guide below!</h1>[<a target="_blank" rel="ugc" href="https://huggingface.co/kayfahaarukku/AingDiffusion-XL">HuggingFace Backup link</a>]AingDiffusion XL (read: Ah-eeng Diffusion XL) merges anime models based on SDXL with some extra self-trained datasets. This model is capable of generating high-quality anime images.<h2 id="guide-to-generating-good-images-with-this-model-xhct0e97r">Guide to generating good images with this model</h2>(This guide is relevant to the latest version of AingDiffusion XL)<ul><li>This model uses Animagine XL 3.0's way of prompting since the aesthetic tags trained on Animagine XL 3.1 is not finetuned:<pre><code>1girl/1boy, character name, from what series, what style, everything else in any order, masterpiece, best quality,</code></pre>It is also recommended to include the style name of the images you want to generate in the prompt (eg. anime screencap, sketch, pixel art, famous artist name, etc.).The standard negative prompt recommended for this model:<pre><code>nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, realistic, 3d,</code></pre></li><li>Use SDXL-recommended resolutions. This is SDXL, SD 1.5 resolution always performs worse.</li><li>The recommended sampler is "Euler a" with ~7 CFG and ~25 steps.</li><li>Set ENSD (eta noise seed delta) to 31337 [to replicate image].</li></ul><h3 id="character-list-9ccqtlaq7">Character List</h3>AingDiffusion XL is a derivative of Animagine XL v3. The latest version of AingDiffusion XL is a derivative of Animagine XL 3.1, which has over 4.9k characters trained on it. You can see the full list here: <a target="_blank" rel="ugc" href="https://huggingface.co/spaces/cagliostrolab/animagine-xl-3.1/blob/main/wildcard/characterfull.txt">https://huggingface.co/spaces/cagliostrolab/animagine-xl-3.1/blob/main/wildcard/characterfull.txt</a><h3 id="aingdiffusion-xl-v1.4-nerd-facts-fq6856mmq">AingDiffusion XL v1.4 Nerd Facts</h3>AingDiffusion XL v1.4 uses the Prodigy optimizer to train the model, this making sure that the model learns everything it needs to know by adjusting its learning rate. Finetuning Layer Details- Dataset count: 41,671 images                - Masterpiece-rated: 5,814                - Best Quality-rated: 3,155                - Normal Quality-rated: 5,353                - Low Quality-rated: 5,790                - Worst Quality-rated: 21,559- GPU: 1 x RTX 4090 (36 hours of training)- Batch size: 12- Gradient Accumulation: 3- Equivalent batch size: 36- Epoch: 10- Used epoch: 8 - LyCORIS Network: LoKr- Network Dim: 32- Network Alpha: 16- Conv Dim: 16- Conv Alpha: 8NOTE: Dim settings used is to trigger full matrix mode on LoKr, not actually using mentioned Dim and Alpha.- Optimizer: Prodigy- LR Scheduler: Cosine annealing warmup restarts- Restarts: 10- Min. LR: 1e-06- Learning Rate: 1- Min SNR gamma: 5- Other optimizer arguments:  - Betas: 0.9, 0.99  - Weight_decay: 0.01  - decouple: True  - use_bias_correction: True  - safeguard_warmup: True  - d_coef: 1 This LyCORIS was then merged with AingBase on 80% weight.Quality tags ranking system is inspired by CagliostroLab’s scoring system.<h3 id="faq-xzn178hmc">FAQ</h3>Q: There's nothing special about this model, it didn't have something unique.A: The goal of AingDiffusion XL right now is to enhance the experience and the capabilities of Animagine. The goal is basically to make Animagine on steroids.Q: The images I generate are bad and not as good as yours.A: First, make sure you follow the standard prompting guide I provide. Also, sometimes I found people using SD 1.5 embeddings with this model. DO NOT USE THEM. THEY DON'T WORK WITH SDXL.<h3 id="legals-74vkticrh">Legals</h3>Due to the usage of Animagine XL with the merge, the model is now using <a target="_blank" rel="ugc" href="https://freedevproject.org/faipl-1.0-sd/">Fair AI Public License 1.0-SD </a>license.Because of some reason, I decided to make the merging recipe clearer which I will put in the "About Version" section starting from version v0.6.

AingDiffusion XL

AingDiffusion XL v1.1 is here!What's new:<ul><li>Major dataset refresh: The image count for the dataset used for fine-tuning has been increased from 4.03k to 7.7k images. All the images used have also been filtered and rated <code>hq</code> by <a target="_blank" rel="ugc" href="https://huggingface.co/shadowlilac/aesthetic-shadow-v2">aesthetic-shadow-v2</a>. The dataset was not filtered and rated in the previous versions.</li><li>New training settings: The dataset has been trained twice, the first one was using my old settings which are closer to a LoRA learning rate, while the second one was trained with Animagine XL 3.1 learning rate.</li></ul>What do these changes mean for you:<ul><li>The model should perform much better and have nicer details.</li><li>The color produced by the model is less dull in many conditions.</li></ul>Thank you for using AingDiffusion XL.Parameters used: <a target="_blank" rel="ugc" href="https://kayfa.run/stable-diffusion/parameters/aingdiffusionxl/aingdiffusionxl-v1.1.txt">https://kayfa.run/stable-diffusion/parameters/aingdiffusionxl/aingdiffusionxl-v1.1.txt</a> PS: The training costs are getting more expensive, and my goal is to increase the dataset size to 32k images which will take around 80 GPU hours to train on a single RTX 3090 on Runpod. If you want to help me, you can send me some funds through ko-fi: <a target="_blank" rel="ugc" href="https://ko-fi.com/kayfahaarukku">https://ko-fi.com/kayfahaarukku</a>

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