<h1 id="heading-13303">Read Description</h1><h3 id="heading-13304">Questions/Feedback/Updates?</h3><a target="_blank" rel="ugc" href="https://discord.com/channels/1010980909568245801/1073440375336882186">Visit my thread on the Unstable Diffusion Discord</a><h2 id="heading-13305">Description</h2>This model is intended to be used for merging purposesTwo trained models make up "Based" :<ol><li>base01 - General purpose photorealistic model</li><li>HQSkin - Trained on highly detailed photos which featured clear skin details. Batch processed to maximize the fine details of the subjects skin.</li></ol>Both models listed above are undertrained and are not available for download.How to use the .yaml file :For 'Based_v1.safetensors'<ol><li>Simply drop the configuration file (.yaml) in the same directory as the model.<ol><li>Dir = stable-diffusion-webui\models\Stable-diffusion</li></ol></li></ol>If you're using another version of the model (such as 'Based_v1-FP16.safetensors')<ol><li>Rename the .yaml file to match the name of the model.<ol><li>For example; For 'Base_v1-FP16.safetensors'. The .yaml should be renamed to 'Based_v1-FP16.yaml'.</li></ol></li><li>Simply drop the configuration file (.yaml) in the same directory as the model.</li></ol><h2 id="heading-13306">Settings</h2>VAE Required<a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/sd-vae-ft-mse-original/tree/main">Download VAE here</a>I prefer the .safetensors version, but the PyTorch (.ckpt) version is okay to use.Place VAE inside :stable-diffusion-webui\models\VAEIn webui :Settings -&gt; Stable DiffusionUncheck 'Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them'Webui Recommended Settings<ol><li>ETA noise seed delta = 31337<ol><li>Settings -&gt; Sampler Parameters -&gt; Eta noise seed delta</li></ol></li><li>Quick Settings = <code>sd_model_checkpoint</code>, <code>sd_vae</code>, <code>CLIP_stop_at_last_layers</code>, <code>s_churn</code>, <code>always_discard_next_to_last_sigma</code><ol><li>Settings -&gt; User interface -&gt; Quicksettings</li></ol></li><li>Hires Fix sampler selection : Enabled<ol><li>Settings -&gt; User interface -&gt; Hires fix: show hires sampler selection</li></ol></li></ol>Hires FixModels :<ol><li>R-ESRGAN 4x+ | Denoise Strength = 0.3 - 0.35</li><li>4x_RealisticRescaler_100000_G | Denoise Strength = 0.25 - 0.3<ol><li>Download <a target="_blank" rel="ugc" href="https://huggingface.co/uwg/upscaler/blob/main/ESRGAN/4x_RealisticRescaler_100000_G.pth">here</a></li><li>stable-diffusion-webui\models\ESRGAN</li></ol></li><li>4x_Valar_v1 | Denoise Strength = 0.5 - 0.6<ol><li>Download <a target="_blank" rel="ugc" href="https://huggingface.co/uwg/upscaler/blob/main/ESRGAN/4x_Valar_v1.pth">here</a></li><li>stable-diffusion-webui\models\ESRGAN</li></ol></li></ol>Upscale Size &lt;= 2Sampler SettingsThese are just recommendations, experiment with different settings.<ol><li>DPM++ SDE Karras | 30 - 40 Steps</li><li>DPM++ 2M Karras | 30 - 60 Steps</li><li>Euler a | 20 - 40 Steps</li><li>DDIM | 80+ Steps</li></ol>ADetailerMore info + install instructions <a target="_blank" rel="ugc" href="https://github.com/Bing-su/adetailer">here</a><ol><li>Enabled = True</li><li>Model = face_yolo8n.pt (experiment with other models from dropdown)</li><li>Detection model confidence threshold = 0.3 - 0.8 (experiment with your own settings)</li></ol>CFGMainly tested for DPM++ SDE KarrasThis model seems to like work better with values above 7. Typically I found myself using 7.5 or 8.5 for most gens.Note : If using Euler a, reduce CFG from ~6 - 7<h3 id="heading-29">Check out my other models</h3>SDXL<ul><li>Boomer Art Model - <a target="_blank" rel="ugc" href="https://civarchive.com/models/163139/boomer-art-model-bam">https://civarchive.com/models/163139/boomer-art-model-bam</a></li><li>LomoXL -<a target="_blank" rel="ugc" href="https://civarchive.com/models/156743/lomoxl"> https://civarchive.com/models/156743/lomoxl</a></li></ul>SD1.5<ul><li>Doomer Boomer - <a target="_blank" rel="ugc" href="https://civarchive.com/models/118247?modelVersionId=128239">https://civarchive.com/models/118247?modelVersionId=128239</a></li></ul><ul><li>Lomostyle - <a target="_blank" rel="ugc" href="https://civarchive.com/models/109923/lomostyle">https://civarchive.com/models/109923/lomostyle</a></li></ul><ul><li>Electric Eden - <a target="_blank" rel="ugc" href="https://civarchive.com/models/64355/electric-eden">https://civarchive.com/models/64355/electric-eden</a></li></ul><ul><li>Cine Diffusion - <a target="_blank" rel="ugc" href="https://civarchive.com/models/50000/cine-diffusion">https://civarchive.com/models/50000/cine-diffusion</a></li><li>ProjectAIO - <a target="_blank" rel="ugc" href="https://civarchive.com/models/18428/project-aio">https://civarchive.com/models/18428/project-aio</a></li></ul><ul><li>Eris - <a target="_blank" rel="ugc" href="https://civarchive.com/models/21952/eris">https://civarchive.com/models/21952/eris</a></li></ul><ul><li>WonderMix - <a target="_blank" rel="ugc" href="https://civarchive.com/models/15666/wondermix">https://civarchive.com/models/15666/wondermix</a></li></ul><ul><li>Refined - <a target="_blank" rel="ugc" href="https://civarchive.com/models/8392/refined">https://civarchive.com/models/8392/refined</a></li></ul><ul><li>Experience - <a target="_blank" rel="ugc" href="https://civarchive.com/models/5952/experience">https://civarchive.com/models/5952/experience</a></li><li>Elegance - <a target="_blank" rel="ugc" href="https://civarchive.com/models/5564/elegance">https://civarchive.com/models/5564/elegance</a></li></ul><ul><li>Clarity - <a target="_blank" rel="ugc" href="https://civarchive.com/models/5062/clarity">https://civarchive.com/models/5062/clarity</a></li><li>VisionGen - Realism Reborn -<a target="_blank" rel="ugc" href="https://civarchive.com/models/4834/visiongen-realism">https://civarchive.com/models/4834/visiongen-realism</a></li></ul>LoRA<ul><li>Pant Pull Down - <a target="_blank" rel="ugc" href="https://civarchive.com/models/11126/pant-pull-down-lora">https://civarchive.com/models/11126/pant-pull-down-lora</a></li></ul>

Based Model

Based_v1Models :<ul><li>Based_v1.safetensor | Main Model | FP32</li><li>Based_v1-FP16.safetensors | Main Model | FP16</li><li>Based_v1-pruned-emaonly | Main Model | FP32 Pruned (EMA weights only)</li><li>Based_v1-fp16.skpt | Main Model | FP16 | PyTorch (.ckpt) version. </li></ul>

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