![](\"https:\/\/demensdeum.com\/blog\/wp-content\/uploads\/2026\/04\/comfyui_flux_demo.jpg\"\/)
<\/p>\nNowadays, you don’t have to rely on cloud services: you can generate high-quality images entirely on your own hardware. In this post, I will describe how to run the modern FLUX model locally on your computer using ComfyUI<\/b>.<\/p>\n
<\/p>\n
ComfyUI uses node-based architecture. This allows you to:
\n– Totally control every stage of generation.
\n– Easily share ready-made \u201cworkflows\u201d<\/p>\n
FLUX is a large model, so the hardware requirements are higher than SD 1.5 or SDXL:
\n– Video card (GPU):<\/b> Nvidia RTX with 12 GB VRAM or higher (for comfortable work). If you have 8 GB or less, you will have to use the quantized versions (GGUF or NF4).
\n– Random access memory (RAM):<\/b> minimum 16 GB (preferably 32 GB and above).
\n– Disk Space:<\/b> Approximately 20\u201350 GB for models and components.<\/p>\n
The easiest way to start FLUX is to use a ready-made template. Just search for flux text to image in the workflows window and install.<\/p>\n
Write a prompt in English in the `Text to Image (Flux.1 Dev)` node, select the resolution (FLUX works well with 1024×1024 and even higher) and press RUN<\/b>.<\/p>\n
The first generation may take time as the models will be loaded into the video card memory.<\/p>\n
https:\/\/github.com\/comfyanonymous\/ComfyUI<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Nowadays, you don’t have to rely on cloud services: you can generate high-quality images entirely on your own hardware. In this post, I will describe how to run the modern FLUX model locally on your computer using ComfyUI. ComfyUI uses node-based architecture. This allows you to: – Totally control every stage of generation. – EasilyContinue reading “Local image generation: ComfyUI and FLUX model”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[61],"tags":[],"class_list":["post-4344","post","type-post","status-publish","format-standard","hentry","category-techie","entry"],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"en","enabled_languages":["en","ru","zh","de","fr","ja","pt"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"ru":{"title":true,"content":true,"excerpt":false},"zh":{"title":true,"content":true,"excerpt":false},"de":{"title":true,"content":true,"excerpt":false},"fr":{"title":true,"content":true,"excerpt":false},"ja":{"title":true,"content":true,"excerpt":false},"pt":{"title":true,"content":true,"excerpt":false}}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts\/4344","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/comments?post=4344"}],"version-history":[{"count":3,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts\/4344\/revisions"}],"predecessor-version":[{"id":4347,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts\/4344\/revisions\/4347"}],"wp:attachment":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/media?parent=4344"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/categories?post=4344"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/tags?post=4344"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}