{"id":27757,"date":"2025-02-09T10:38:43","date_gmt":"2025-02-09T02:38:43","guid":{"rendered":"https:\/\/www.1ai.net\/?p=27757"},"modified":"2025-01-26T08:36:00","modified_gmt":"2025-01-26T00:36:00","slug":"%e9%80%89%e6%8b%a9stable-diffusion%e6%80%8e%e4%b9%88%e7%94%a8%ef%bc%9fc%e7%ab%99%e4%bd%bf%e7%94%a8%e7%b2%be%e8%ae%b2%e4%b8%8evae%e3%80%81clip%e7%bb%88%e6%ad%a2%e5%b1%82%e5%8f%82%e6%95%b0%e8%a7%a3","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/27757.html","title":{"rendered":"How to use Stable Diffusion, Station C's use of the essence and VAE, CLIP termination layer parameter analysis"},"content":{"rendered":"<p>In this section, we will learn in-depth about the use of Station C and the VAE (Variable Autocoder) and CLIP termination layer parameters. You will be systematically introduced to the C-station and get practical tips on the VAE model and the Clip parameters.<\/p>\n<p>I. Essentials of the use of station C<\/p>\n<p>Station C, or civitai <a href=\"https:\/\/www.1ai.net\/en\/2868.html\/\">https:\/\/www.1ai.net\/2868.html<\/a>, is a comprehensive modeling website that provides a wealth of modeling resources. When using C site, we need to pay attention to the following points:<\/p>\n<p>1\u3001Content classification and switching<\/p>\n<p>Station C contains several sections such as Models, Pictures, Portfolio and Articles, and users can switch between these sections as needed.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-27758\" title=\"e4e5b434j00sqmhxq00srd000u000esm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/01\/e4e5b434j00sqmhxq00srd000u000esm.jpg\" alt=\"e4e5b434j00sqmhxq00srd000u000esm\" width=\"1080\" height=\"532\" \/><\/p>\n<p>2. Sorting and screening<\/p>\n<p>Station C provides a variety of sorting methods, such as highest rated, most downloaded, most liked, etc., to help users quickly find popular resources.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-27759\" title=\"4c557daaj00sqmhxq00rud000u000esm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/01\/4c557daaj00sqmhxq00rud000u000esm.jpg\" alt=\"4c557daaj00sqmhxq00rud000u000esm\" width=\"1080\" height=\"532\" \/><\/p>\n<p>Also, users can filter resources based on multiple dimensions such as time and model type.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-27760\" title=\"c2eace45j00sqmhxp00ntd000u000esm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/01\/c2eace45j00sqmhxp00ntd000u000esm.jpg\" alt=\"c2eace45j00sqmhxp00ntd000u000esm\" width=\"1080\" height=\"532\" \/><\/p>\n<p>3. Theme screening<\/p>\n<p>Users can filter models based on themes such as characters, styles, celebrities, etc., or use the search box to find models on a specific theme.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-27761\" title=\"8f6ffe64j00sqmhxp00sxd000u000esm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/01\/8f6ffe64j00sqmhxp00sxd000u000esm.jpg\" alt=\"8f6ffe64j00sqmhxp00sxd000u000esm\" width=\"1080\" height=\"532\" \/><\/p>\n<p>II. Knowledge of the VAE model<\/p>\n<p>The VAE, or Variable Auto-Encoder, is responsible for transforming the<a href=\"https:\/\/www.1ai.net\/en\/tag\/stable-diffusion\" title=\"_Other Organiser\" target=\"_blank\" >Stable Diffusion<\/a>The generated latent space images are converted to pixel space images, similar to the role of a translator.<\/p>\n<p>VAE is responsible for converting the abstract images generated by Stable Diffusion into pixel images that we humans can view directly, converting images that computers can understand into images that humans can understand.<\/p>\n<p>1. Impact of VAE<\/p>\n<p>Different VAEs may have an effect on the color saturation and detail texture of the final image. Although the functions of different VAEs are similar, they may differ in practical effects, such as filtering effects and detailing.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-27762\" title=\"83957e2dj00sqmhxp00dxd000u0009em\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/01\/83957e2dj00sqmhxp00dxd000u0009em.jpg\" alt=\"83957e2dj00sqmhxp00dxd000u0009em\" width=\"1080\" height=\"338\" \/><\/p>\n<p>2\u3001VAE Recommendation<\/p>\n<p>Typically, vae-ft-mse-840000-ema-pruned.safetensors is recommended because it has a more pleasing color saturation and reduces the chance of decoding errors.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-27763\" title=\"0aea6181j00sqmhxo0010d000q20087m\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/01\/0aea6181j00sqmhxo0010d000q20087m.jpg\" alt=\"0aea6181j00sqmhxo0010d000q20087m\" width=\"938\" height=\"295\" \/><\/p>\n<p>3\u3001VAE download and installation<\/p>\n<p>Users can download the required VAE model at Station C.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-27764\" title=\"627e8906j00sqmhxp008td000u000esm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/01\/627e8906j00sqmhxp008td000u000esm.jpg\" alt=\"627e8906j00sqmhxp008td000u000esm\" width=\"1080\" height=\"532\" \/><\/p>\n<p>It can also be downloaded through the launcher interface.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-27765\" title=\"d2f26b08j00sqmhxp005md000u000g9m\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/01\/d2f26b08j00sqmhxp005md000u000g9m.jpg\" alt=\"d2f26b08j00sqmhxp005md000u000g9m\" width=\"1080\" height=\"585\" \/><\/p>\n<p>B station UP owner @ReliableXuanXuan provides a one-stop resource pack for newbies, which can also be downloaded here: https:\/\/pan.quark.cn\/s\/218e0e20a915<\/p>\n<p>To install, place the downloaded file in the models\/VAE folder in the Stable Diffusion root directory and refresh the interface to use it.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-27766\" title=\"29ef6505j00sqmhxo0012d000qb008fm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/01\/29ef6505j00sqmhxo0012d000qb008fm.jpg\" alt=\"29ef6505j00sqmhxo0012d000qb008fm\" width=\"947\" height=\"303\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-27767\" title=\"5881a155j00sqmhxo001nd000u0004gm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/01\/5881a155j00sqmhxo001nd000u0004gm.jpg\" alt=\"5881a155j00sqmhxo001nd000u0004gm\" width=\"1080\" height=\"160\" \/><\/p>\n<p>Precautions<\/p>\n<ul>\n<li><strong>none<\/strong>: When \"None\" is clicked, it means that the VAE that comes with the large model is used.<\/li>\n<li><strong>automatic<\/strong>: When you click \"Auto\", Stable Diffusion will automatically select the matching VAE based on the name of the big model, if you want the VAE to switch automatically with the big model, you need to set the name of the VAE to be the same as the big model's name.<\/li>\n<\/ul>\n<p>III. CLIP termination layer parameters<\/p>\n<p>Clip termination layer parameters, i.e., Contrastive Language-Image Pre-training (CLIP) model, are used to tune the AI's comprehension of cued words.<\/p>\n<p>1. Parameter effects<\/p>\n<p>The smaller the layer of the Clip parameter, the clearer the AI's understanding of the cue word; the larger the layer, the weaker the AI's understanding.<\/p>\n<p>2. Recommended values of parameters<\/p>\n<p>The default value is usually 2. In the case of 99.99%, a setting of 2 will suffice.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-27768\" title=\"0686e27ep00sqmhxo000xd000u0002zm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/01\/0686e27ep00sqmhxo000xd000u0002zm.png\" alt=\"0686e27ep00sqmhxo000xd000u0002zm\" width=\"1080\" height=\"107\" \/><\/p>\n<p>IV. Conclusion<\/p>\n<p>Through this section, you have mastered the use of Station C, the selection of VAE models, and the techniques for adjusting CLIP parameters.<\/p>\n<p>This knowledge will help you use Stable Diffusion more efficiently and create more great work.<\/p>","protected":false},"excerpt":{"rendered":"<p>This section will provide an in-depth study of the use of Station C and related knowledge of VAE and CLIP termination layers parameters. You will systematically recognize Station C and master the practical techniques of VAE models and Clip parameters. Site C, Civitai https:\/\/www.1ai.net\/2868.html, is an integrated model website that provides a wealth of model resources. When using station C, we need to take care of the following: 1 and the classification and switching of content to station C contains several large plates, such as models, pictures, collections and articles, between which users can switch as needed. Station C provides a variety of sorting methods, such as the highest rating, maximum download, maximum praise, etc<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[149,144],"tags":[491,2328,197,198],"collection":[262],"class_list":{"0":"post-27757","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"hentry","6":"category-jiaocheng","7":"category-baike","8":"tag-ai","10":"tag-stable-diffusion","12":"collection-stablediffusion"},"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/27757","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=27757"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/27757\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=27757"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=27757"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=27757"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=27757"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}