\u0425\u043e\u0442\u0438\u0442\u0435 \u043a\u0430\u0440\u0442\u0438\u043d\u043a\u0443 \u0434\u043b\u044f \u043f\u043e\u0441\u0442\u0430 \u0438\u043b\u0438 \u043c\u0430\u043a\u0435\u0442\u0430, \u0430 \u0434\u0438\u0437\u0430\u0439\u043d\u0435\u0440 \u0437\u0430\u043d\u044f\u0442 \u0434\u043e \u0432\u0435\u0447\u0435\u0440\u0430? \u041d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u044c \u0441\u043e\u0437\u0434\u0430\u0451\u0442 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435 \u043f\u043e \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u043e\u043c\u0443 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044e \u0437\u0430 \u043f\u0430\u0440\u0443 \u043c\u0438\u043d\u0443\u0442: \u0432\u044b \u0440\u0435\u0433\u0438\u0441\u0442\u0440\u0438\u0440\u0443\u0435\u0442\u0435\u0441\u044c \u0432 \u0441\u0435\u0440\u0432\u0438\u0441\u0435 \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438, \u0432\u044b\u0431\u0438\u0440\u0430\u0435\u0442\u0435 \u043c\u043e\u0434\u0435\u043b\u044c \u0432\u0440\u043e\u0434\u0435 FLUX 2 Pro \u0438\u043b\u0438 GPT Image 2, \u043f\u0438\u0448\u0435\u0442\u0435 \u043f\u0440\u043e\u043c\u043f\u0442 \u0438 \u043d\u0430\u0436\u0438\u043c\u0430\u0435\u0442\u0435 \u00ab\u0421\u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u00bb. \u041d\u0438\u0436\u0435 \u2014 \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u044b\u0439 \u043c\u0430\u0440\u0448\u0440\u0443\u0442 \u0434\u043b\u044f \u0442\u0435\u0445, \u043a\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u0442 \u044d\u0442\u043e \u0432\u043f\u0435\u0440\u0432\u044b\u0435, \u0441 \u0442\u0438\u043f\u0438\u0447\u043d\u044b\u043c\u0438 \u043e\u0448\u0438\u0431\u043a\u0430\u043c\u0438 \u0438 \u043c\u044f\u0433\u043a\u0438\u043c \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u043e\u043c \u043a \u043f\u0440\u043e\u0431\u043d\u043e\u043c\u0443 \u0442\u0430\u0440\u0438\u0444\u0443 Vlex AI.<\/p>\n
\u0413\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u044f \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u044c\u044e \u043f\u0435\u0440\u0435\u0441\u0442\u0430\u043b\u0430 \u0431\u044b\u0442\u044c \u0438\u0433\u0440\u0443\u0448\u043a\u043e\u0439 \u0434\u043b\u044f \u044d\u043d\u0442\u0443\u0437\u0438\u0430\u0441\u0442\u043e\u0432. \u041c\u0430\u0440\u043a\u0435\u0442\u043e\u043b\u043e\u0433\u0438 \u0441\u043e\u0431\u0438\u0440\u0430\u044e\u0442 \u043e\u0431\u043b\u043e\u0436\u043a\u0438, SMM-\u0449\u0438\u043a\u0438 \u2014 \u0432\u0438\u0437\u0443\u0430\u043b\u044b \u0434\u043b\u044f \u043b\u0435\u043d\u0442\u044b, \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0438 \u2014 \u0438\u043a\u043e\u043d\u043a\u0438 \u0438 \u043c\u043e\u043a\u0430\u043f\u044b. \u0420\u044b\u043d\u043e\u043a \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u0442 \u0434\u0435\u0441\u044f\u0442\u043a\u0438 \u043c\u043e\u0434\u0435\u043b\u0435\u0439, \u0438 \u043d\u043e\u0432\u0438\u0447\u043a\u0443 \u043b\u0435\u0433\u043a\u043e \u043f\u043e\u0442\u0435\u0440\u044f\u0442\u044c\u0441\u044f \u043c\u0435\u0436\u0434\u0443 Kandinsky, FLUX 2 Pro \u0438 Midjourney. \u0410\u0433\u0440\u0435\u0433\u0430\u0442\u043e\u0440\u044b \u0432\u0440\u043e\u0434\u0435 Vlex AI<\/a> combine several models into one interface\u2014without separate API keys and with trial access after registration.<\/p>\n If you're reading this on your phone, don't put off practicing: one short prompt and one generation are more memorable than ten pages of theory. Next, we'll break down what's going on "under the hood," without delving into the code\u2014just what's needed for the first working frame.<\/p>\n Short answer:<\/b> This is text-to-image mode, where an AI model draws an image based on your text query (prompt). You describe the subject, style, and mood, and the algorithm selects pixels. The result is not deterministic: the same wording can produce different results, so save the prompts that work.<\/p>\n Recommendation: Start with simple scenes\u2014an object on a table, a landscape, an abstract background. Beginners usually master complex compositions with dozens of objects later, once they understand how the model "reads" the text.<\/p>\n Minimum set:<\/p>\n \u041e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0439 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0440\u0435\u0434\u0430\u043a\u0442\u043e\u0440 \u043d\u0435 \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u0435\u043d \u043d\u0430 \u0441\u0442\u0430\u0440\u0442\u0435. \u0421\u043a\u0430\u0447\u0430\u0442\u044c PNG \u0438\u043b\u0438 JPEG \u043c\u043e\u0436\u043d\u043e \u043f\u0440\u044f\u043c\u043e \u0438\u0437 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0430 \u0441\u0435\u0440\u0432\u0438\u0441\u0430. \u0414\u043b\u044f \u043a\u043e\u043c\u043c\u0435\u0440\u0447\u0435\u0441\u043a\u0438\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 \u043f\u043e\u0437\u0436\u0435 \u0443\u0442\u043e\u0447\u043d\u0438\u0442\u0435 \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 \u2014 \u043e\u043d\u0438 \u0440\u0430\u0437\u043b\u0438\u0447\u0430\u044e\u0442\u0441\u044f \u0443 FLUX 2 Pro, Midjourney \u0438 \u0440\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0438\u0445 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c.<\/p>\n Several image models are usually available on the aggregator. A quick guide for beginners:<\/p>\n \u0420\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0446\u0438\u044f: \u0434\u043b\u044f \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0430 \u0432\u043e\u0437\u044c\u043c\u0438\u0442\u0435 FLUX 2 Pro \u0438\u043b\u0438 GPT Image 2 \u2014 \u043e\u043d\u0438 \u043f\u0440\u043e\u0449\u0430\u044e\u0442 \u043d\u0435\u0442\u043e\u0447\u043d\u044b\u0435 \u043f\u0440\u043e\u043c\u043f\u0442\u044b. \u0415\u0441\u043b\u0438 \u043d\u0443\u0436\u0435\u043d \u00ab\u043a\u0438\u043d\u043e\u0448\u043d\u044b\u0439\u00bb \u0432\u0438\u0437\u0443\u0430\u043b \u2014 \u043f\u043e\u043f\u0440\u043e\u0431\u0443\u0439\u0442\u0435 Midjourney \u043d\u0430 \u0432\u0442\u043e\u0440\u043e\u043c \u0437\u0430\u0445\u043e\u0434\u0435 \u0438 \u0441\u0440\u0430\u0432\u043d\u0438\u0442\u0435 \u0441 \u043f\u0435\u0440\u0432\u044b\u043c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u043c.<\/p>\n \u0410\u043b\u044c\u0442\u0435\u0440\u043d\u0430\u0442\u0438\u0432\u0430 \u0434\u043b\u044f \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439, \u043a\u043e\u0442\u043e\u0440\u044b\u043c \u0432\u0430\u0436\u0435\u043d \u0442\u043e\u043b\u044c\u043a\u043e \u0440\u0443\u0441\u0441\u043a\u043e\u044f\u0437\u044b\u0447\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u0431\u0435\u0437 \u0437\u0430\u0440\u0443\u0431\u0435\u0436\u043d\u044b\u0445 \u043f\u043e\u0434\u043f\u0438\u0441\u043e\u043a, \u2014 Kandinsky \u0432 GigaChat \u0438\u043b\u0438 \u0428\u0435\u0434\u0435\u0432\u0440\u0443\u043c \u043e\u0442 \u042f\u043d\u0434\u0435\u043a\u0441\u0430. \u041e\u043d\u0438 \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u044b \u0432 \u0431\u0430\u0437\u043e\u0432\u044b\u0445 \u043b\u0438\u043c\u0438\u0442\u0430\u0445, \u043d\u043e \u043d\u0435 \u0434\u0430\u044e\u0442 \u0434\u043e\u0441\u0442\u0443\u043f \u043a FLUX 2 Pro \u0438 Midjourney \u0432 \u043e\u0434\u043d\u043e\u043c \u043e\u043a\u043d\u0435. \u0418\u043c\u0435\u043d\u043d\u043e \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u043c\u0430\u0440\u043a\u0435\u0442\u043e\u043b\u043e\u0433\u0438 \u0447\u0430\u0441\u0442\u043e \u043a\u043e\u043c\u0431\u0438\u043d\u0438\u0440\u0443\u044e\u0442: \u0431\u044b\u0442\u043e\u0432\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438 \u2014 \u0432 RU-\u0441\u0435\u0440\u0432\u0438\u0441\u0435, \u043a\u043e\u043c\u043c\u0435\u0440\u0447\u0435\u0441\u043a\u0438\u0435 \u043c\u0430\u043a\u0435\u0442\u044b \u2014 \u0432 \u0430\u0433\u0440\u0435\u0433\u0430\u0442\u043e\u0440\u0435 \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043c\u043e\u0434\u0435\u043b\u044f\u043c\u0438.<\/p>\n Prompt is the heart of generation. The structure that works for most models:<\/p>\n \nPrompt formula:<\/b> subject \u2192 style \u2192 light \u2192 angle \u2192 format (aspect ratio)\n<\/p><\/blockquote>\n Mini examples to get you started:<\/p>\n A typical mistake is a two-word prompt ("beautiful sunset"). Add details: time of day, weather, shooting style. More on techniques in the article. How to write prompts for image generation<\/a>.<\/p>\n In Vlex AI, you can start with a ready-made template from the library (100+ options based on product data), then customize the text to suit your needs. It's faster than writing a prompt from scratch.<\/p>\n The request is too abstract.<\/b> \u00abThe model doesn't understand "make it beautiful." Name the object, the material, the lighting.<\/p>\n Conflicting styles.<\/b> \u00ab"Photorealism + watercolor + 3D render" in one line confuses the internet. Stick to one dominant style.<\/p>\n Ignoring the format.<\/b> A vertical prompt for a horizontal banner produces a cropped composition. Set the aspect ratio before generation.<\/p>\n One try.<\/b> Professionals do 3-5 iterations, changing one parameter at a time - this makes it easier to understand what exactly is \u00abbreaking\u00bb the shot.<\/p>\n Recommendation: keep a note of successful prompts. In a week, you'll have a personal library, faster than any random search.<\/p>\n Vlex AI operates a credit system: monthly subscriptions and one-time token packages. Upon registration, you receive a trial balance (20 tokens, according to the billing section at the time of writing). For exact pricing in rubles, please visit the pricing page on the official landing page. Current price: TBD<\/b>, we do not publish unverified figures.<\/p>\n The product landing page lists the estimated plan capacity (approximately 50\u2013250 images depending on the plan, along with other generation types). A trial access is sufficient for a one-time test; for regular use, compare packages after the first ten frames.<\/p>\n It's important to plan your token spending: a single high-resolution image can cost more than a standard-quality preview. Record successful settings to avoid burning through your quota on repeated experiments with the same prompt. If your team works together, agree on a unified prompt library in advance\u2014this reduces confusion in your brand's visual style.<\/p>\n If you came from the main page, return to the review on image generation<\/a> or to the section free generation<\/a>. A longread will be useful for comparing models. Flux vs Midjourney vs Kandinsky<\/a> and the page about neural network aggregator<\/a>.<\/p>\n Yes, to a limited extent. Vlex AI offers a trial plan with tokens upon registration; Russian services like Kandinsky on GigaChat and Shedevroom also have free modes with limits. For a series of commercial tasks, you typically need a paid plan or an aggregator with a credit package.<\/p>\n No. Most modern generators, including Vlex AI, work in a browser. All you need is an account and a stable internet connection.<\/p>\n Typically, it takes one to three minutes to register, select a model, enter the prompt, and wait for the render. Complex or high-resolution models may take longer.<\/p>\n \u041e\u0431\u0435 \u043e\u043f\u0446\u0438\u0438 \u0440\u0430\u0431\u043e\u0447\u0438\u0435. \u0414\u043b\u044f Kandinsky \u0438 \u0428\u0435\u0434\u0435\u0432\u0440\u0443\u043c\u0430 \u0440\u0443\u0441\u0441\u043a\u0438\u0439 \u0447\u0430\u0441\u0442\u043e \u0443\u0434\u043e\u0431\u043d\u0435\u0435; FLUX 2 Pro \u0438 Midjourney \u0445\u043e\u0440\u043e\u0448\u043e \u043f\u043e\u043d\u0438\u043c\u0430\u044e\u0442 \u0430\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u0438\u0439, \u043d\u043e \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u044e\u0442 \u0438 \u0440\u0443\u0441\u0441\u043a\u0438\u0435 \u0444\u043e\u0440\u043c\u0443\u043b\u0438\u0440\u043e\u0432\u043a\u0438. \u0415\u0441\u043b\u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u00ab\u043f\u043b\u044b\u0432\u0451\u0442\u00bb, \u043f\u043e\u043f\u0440\u043e\u0431\u0443\u0439\u0442\u0435 \u043f\u0435\u0440\u0435\u0432\u0435\u0441\u0442\u0438 \u043a\u043b\u044e\u0447\u0435\u0432\u044b\u0435 \u0441\u043b\u043e\u0432\u0430 \u0441\u0442\u0438\u043b\u044f \u0438 \u043e\u0441\u0432\u0435\u0449\u0435\u043d\u0438\u044f \u043d\u0430 \u0430\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u0438\u0439.<\/p>\n In the Vlex AI aggregator, models are already connected\u2014separate keys are not required, according to the official FAQ. When working directly with competitors' APIs, keys and billing are configured separately.<\/p>\n Refine the prompt: add style, remove unnecessary adjectives, and fix the angle. Generate 2-3 more variations, changing one parameter at a time. Vlex AI's ready-made templates help you quickly find a working query structure.<\/p>\n A single model is suitable if you have a clear style (MJ's illustrations only or Flux's photos only). An aggregator is advantageous when you need to switch between models and pay from a single account\u2014a typical scenario for a marketer or designer with different task formats.<\/p>","protected":false},"excerpt":{"rendered":" u041fu043eu0448u0430u0433u043eu0432u0430u044f u0438u043du0441u0442u0440u0443u043au0446u0438u044f: u0432u044bu0431u043eu0440 u043cu043eu0434u0435u043bu0438 (FLUX 2 Pro, Midjourney, Seedream), u043fu0440u043eu043cu043fu0442, u043fu0435u0440u0432u0430u044f u0433u0435u043du0435u0440u0430u0446u0438u044f. u041fu043eu043fu0440u043eu0431u0443u0439u0442u0435 u0431u0435u0441u043fu043bu0430u0442u043du043e u0432 Vlex AI.<\/p>","protected":false},"author":0,"featured_media":21,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-12","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/generatsiya-izobrazhenii.ru\/en\/wp-json\/wp\/v2\/posts\/12","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/generatsiya-izobrazhenii.ru\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/generatsiya-izobrazhenii.ru\/en\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/generatsiya-izobrazhenii.ru\/en\/wp-json\/wp\/v2\/comments?post=12"}],"version-history":[{"count":3,"href":"https:\/\/generatsiya-izobrazhenii.ru\/en\/wp-json\/wp\/v2\/posts\/12\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/generatsiya-izobrazhenii.ru\/en\/wp-json\/wp\/v2\/posts\/12\/revisions\/56"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/generatsiya-izobrazhenii.ru\/en\/wp-json\/wp\/v2\/media\/21"}],"wp:attachment":[{"href":"https:\/\/generatsiya-izobrazhenii.ru\/en\/wp-json\/wp\/v2\/media?parent=12"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/generatsiya-izobrazhenii.ru\/en\/wp-json\/wp\/v2\/categories?post=12"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/generatsiya-izobrazhenii.ru\/en\/wp-json\/wp\/v2\/tags?post=12"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}What is neural network image generation?<\/h2>\n
What you need to get started<\/h2>\n
\n
Step 1: Choose a model<\/h2>\n
\n
Step 2: Write a prompt<\/h2>\n
\n
Step 3: Customize the format and generate<\/h2>\n
\n
Typical mistakes beginners make<\/h2>\n
Tariffs and limits: what to consider<\/h2>\n
What's next?<\/h2>\n
\n
Useful materials on the site<\/h2>\n
Frequently asked questions<\/h2>\n
Is it possible to generate images for free?<\/h3>\n
Do I need to install the program on my computer?<\/h3>\n
How long does it take to get the first picture?<\/h3>\n
Should I write the prompt in Russian or English?<\/h3>\n
Do I need API keys from OpenAI or other providers?<\/h3>\n
What to do if the result doesn\u2019t look like what you intended?<\/h3>\n
How to choose between a single model and an aggregator?<\/h3>\n