This is a quantized version of WAI-illustrious-SDXL, Built-in VAE and CLIP included for efficient inference.All models—Unet, Clip, and Vae—are included in a single ZIP file, complete with sample workflows and a brief guide.ComfyUI RecommendedBase Model: <a target="_blank" rel="ugc" href="https://civarchive.com/models/827184/wai-illustrious-sdxl">https://civarchive.com/models/827184/wai-illustrious-sdxl</a> All credits to the original creator: <a target="_blank" rel="ugc" href="https://civarchive.com/user/WAI0731">https://civarchive.com/user/WAI0731</a><hr />Support &amp; Custom Requests: <span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">Processing, testing, and optimizing these models require significant computational resources and time. If you require a specific Checkpoint or LoRA to be optimized for your hardware constraints, you may submit a formal request and support this ongoing work through the link below: <a target="_blank" rel="ugc" href="https://ko-fi.com/morikomorizz">https://ko-fi.com/morikomorizz</a>

WAI-illustrious-GGUF

<ul><li>Example workflow for SDXL model</li></ul>

waiIllustriousGGUF_workflowGGUF_trainingData.zip

Files with SHA256: a8c195ca5ca7265c56087d8bfe13120e8b384349016c4af38830a87e56cd26a7