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<rss version="2.0"><channel><title><![CDATA[Helpdesk & Questions Latest Topics]]></title><link>https://www.loverslab.com/forum/638-helpdesk-questions/</link><description><![CDATA[Helpdesk & Questions Latest Topics]]></description><language>en</language><item><title>Quick Guide for Local Setups</title><link>https://www.loverslab.com/topic/265000-quick-guide-for-local-setups/</link><description><![CDATA[<p style="text-align:center;">
	<span style="font-size:24px;"><strong>Welcome! This is a quick guide to getting your own local setup for Stable Diffusion.</strong></span><br />
	 
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<p>
	<br />
	<br />
	<u><strong>1. Download and Installation</strong></u>
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<p>
	The first thing you will need to do is choose a program to use as a UI for interacting with Stable Diffusion and make sure you have a good amount of room on your drive (e.g 30GB+). There are many out there, but I will be covering Forge/A1111 and ComfyUI.<br />
	<br />
	<span style="color:#e74c3c;"><u><strong>Forge/A1111</strong></u></span> - Uses a cleaner and simpler UI for interacting with Stable Diffusion. I would recommend this if you are just wanting to play around with image generation.
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	<img class="ipsImage ipsImage_thumbnailed" data-fileid="2566998" data-ratio="78.16" width="1236" alt="A1111.png.22c79c6c256058d6dd0b667b88c10177.png" src="https://www.loverslab.com/uploads/monthly_2026_04/A1111.png.22c79c6c256058d6dd0b667b88c10177.png" />
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	<u><span style="color:#3498db;"><strong>ComfyUI</strong></span></u> - Is a node based UI just like visual scripting in Unity. ComfyUI provides more control and more complexity but can overwhelm you with information you need to learn.<br />
	<img class="ipsImage ipsImage_thumbnailed" data-fileid="2566999" data-ratio="53.65" width="1916" alt="ComfyUI.png.5471ec2b078e0e8e149ba8f254542cac.png" src="https://www.loverslab.com/uploads/monthly_2026_04/ComfyUI.png.5471ec2b078e0e8e149ba8f254542cac.png" />
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<p style="text-align:center;">
	Once you have chosen a UI tool for Stable Diffusion you will need to download and follow the installation instructions they provide.<br />
	<a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui" rel="external nofollow">Forge/A1111</a> - <a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs" rel="external nofollow">NVidia</a> - <a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs" rel="external nofollow">AMD</a><br />
	<br />
	<a href="https://www.comfy.org/download" rel="external nofollow">ComfyUI</a>
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<p>
	<u><strong>2. Stable Diffusion Versions</strong></u>
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<p>
	Now that you have either Forge/A1111, ComfyUI, or other tool installed, you need to pick out a version of Stable Diffusion to run.<br />
	There are a multitude of version out there so I again will mention only the most commonly picked ones. The version of Stable Diffusion you are capable of using is largely dependent on how much VRAM you have with your card. The speed at which you can generate an image is also determined by your VRAM, the closer you are to the limit of your VRAM the slower the gens. In some cases you may be able to load a large version at the cost of making gens very slow. Though in most cases loading a large version with a VRAM requirement over what you have will generally lead to your GPU crashing and the probably need to reboot your PC...so be wary of that, <span style="color:#c0392b;"><u><span style="font-size:16px;"><strong>I am not responsible for anything getting fried by your decisions</strong></span></u></span>. If you are unsure how much VRAM you have with your card, you can check through your installed driver manager such as the Nvidia App or AMD Adrenalin. If you are on Windows, you can also open your Task Manager and go to "<strong>Performance &gt; GPU 1 &gt; Dedicated GPU Memory</strong>".<br />
	<br />
	Now that you know your VRAM, you can determine which versions of Stable Diffusion you can run. Below is a simple list of the popular versions and their minimum VRAM requirements:<br />
	<strong><span style="color:#2ecc71;">Stable Diffusion 1.5 (SD1.5)</span></strong> - It is recommended you have at least 4GB of VRAM.<br />
	<strong><span style="color:#f1c40f;">Stable Diffusion XL (SDXL)</span></strong> - It is recommended you have at least 8GB of VRAM.<br />
	<span style="color:#9b59b6;"><strong>Illustrious (IL)</strong></span>, <span style="color:#e67e22;"><strong>Pony</strong></span>, &amp; <strong><span style="color:#ffffff;">NoobAI (NAI)</span></strong> - It is recommended you have at least 8GB of VRAM.<br />
	<span style="color:#ff99ff;"><strong>Flux</strong></span> - It is recommended you have at least 16GB of VRAM.<br />
	 
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<p>
	With the version of Stable Diffusion you want in mind, you will need something called a <strong>Checkpoint/Model</strong> or <strong>Diffusion Model</strong>. For the purposes of this guide, I will be referring to them as "<strong>Checkpoints</strong>". A Checkpoint is basically like a giant dataset for the Stable Diffusion AI to reference when you run it. There is a difference between Checkpoints and Diffusion Models, but most of what you will come across will be Checkpoints unless you are grabbing specifically from <a href="https://huggingface.co/" rel="external nofollow">HuggingFace</a>.<br />
	 
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<p>
	With your chosen Stable Diffusion version you can go to sites such as <a href="https://civitai.com/" rel="external nofollow">CivitAI</a> or <a href="https://tensor.art/" rel="external nofollow">Tensor</a> to look for Checkpoints. Key thing to note is that you download a Checkpoint and not a Lora*, Embedding*, or VAE*. Once you have chosen your Checkpoint and downloaded the .safetensors file, you will need to navigate to your installation folder for either Forge/A1111 or ComfyUI. Inside you will then need to go to the "models" folder, and move the .safetensors file into the "checkpoint folder".<br />
	<br />
	[A1111 or ComfyUI] &gt; models &gt; checkpoints<br />
	<img class="ipsImage ipsImage_thumbnailed" data-fileid="2567040" data-ratio="57.07" width="920" alt="S1.png.07302d0418a1571a36fc85b265260579.png" src="https://www.loverslab.com/uploads/monthly_2026_04/S1.png.07302d0418a1571a36fc85b265260579.png" />
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	<img class="ipsImage ipsImage_thumbnailed" data-fileid="2567041" data-ratio="55.66" width="927" alt="S2.png.5a31b2b68c2dac441ae74b6dc684ac44.png" src="https://www.loverslab.com/uploads/monthly_2026_04/S2.png.5a31b2b68c2dac441ae74b6dc684ac44.png" />
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<p>
	<img class="ipsImage ipsImage_thumbnailed" data-fileid="2567038" data-ratio="92.28" width="894" alt="S3.png.63857c17dc32f118079307f329d02498.png" src="https://www.loverslab.com/uploads/monthly_2026_04/S3.png.63857c17dc32f118079307f329d02498.png" />
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<p>
	<img class="ipsImage ipsImage_thumbnailed" data-fileid="2567039" data-ratio="83.17" width="903" alt="Screenshot2026-04-13171920.png.8e7c5e5979b688bd4bb157460b1afa0e.png" src="https://www.loverslab.com/uploads/monthly_2026_04/Screenshot2026-04-13171920.png.8e7c5e5979b688bd4bb157460b1afa0e.png" /><br />
	<br />
	*Loras are highly specialized addons to Checkpoints. Loras generally target a specific art style, pose, or clothing. The downside is that Loras can in part artistic styles used in the making of the lora. This means that if the Lora was trained on anime art styles, it will mess with a realistic image and make the outcome a mix or some other sort of unpredictable style.<br />
	*Embeddings are like Loras but do not actually influence art styles and instead use the Checkpoint.<br />
	*VAEs are simply put image encoders that the AI uses. Most Checkpoints have their own VAEs baked into them so you don't need to worry about them. On the other hand, Diffusion Models do not come with VAEs baked into them so you will have to download a VAE in order to use the Diffusion Model.<br />
	*For any downloaded Lora, Embeddings, or VAE you would put them in their own respective folders.<br />
	<br />
	<u><strong>3. Running Stable Diffusion</strong></u>
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<p>
	On to the final stretch, with Forge/A1111 or ComfyUI installed and your Checkpoint/s downloaded, you are ready to launch and get to genning.
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<p>
	<br />
	<strong>3a.</strong> With Forge/A1111 you will need to head into the main installation folder and find "update.bat". Let it do its thing if you didn't do this during installation. Then run "run.bat" and wait for it to start up. Once it is finished you will see something along the lines of this:<br />
	<img class="ipsImage ipsImage_thumbnailed" data-fileid="2567051" data-ratio="78.17" width="1200" alt="A1111-2.png.293e7fa9d58ff24f4210e0bcd1d987a3.png" src="https://www.loverslab.com/uploads/monthly_2026_04/A1111-2.png.293e7fa9d58ff24f4210e0bcd1d987a3.png" />
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<p>
	The red square is where you will change your Checkpoints (this will take a moment to load the Checkpoint for use, so hang tight).<br />
	The green square is where you will input your Positive and Negative prompts.<br />
	The blue square is for different settings that you can mess with on your own. Do note that the large the image the longer it will take.<br />
	Then finally hit "Generate" to generate an image based on your settings and prompt.<br />
	<br />
	<strong>3b.</strong> With ComfyUI you can launch the program through the shortcut placed on your desktop. You will then be met with this screen after it loads:<br />
	<img class="ipsImage ipsImage_thumbnailed" data-fileid="2567052" data-ratio="53.70" width="1918" alt="ComfyUI-2.png.29867520d9e5f1318da91adc27f1d7cb.png" src="https://www.loverslab.com/uploads/monthly_2026_04/ComfyUI-2.png.29867520d9e5f1318da91adc27f1d7cb.png" />
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	The red box is where you change the Checkpoint (should auto detect).<br />
	The green box is for the positive prompt.<br />
	The orange box is for the negative prompt.<br />
	The pink box is the image size.<br />
	The blue box is for settings that you can mess with.<br />
	Finally click "Run" to start the generation process. (The first gen will take a moment as the Checkpoint is loaded)<br />
	<br />
	<strong>3c. </strong>Obviously there is much more you can do but this is the basics that should be able to get you into your first locally generated image.
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