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Generate images from text prompts with styles, negative prompts, and size controls.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Kandinsky" yet — see the docs or source repo.
Use Kandinsky to generate a concept image for a new coffee product poster. Style: modern minimalism. Main colors: brown and beige. Include a coffee cup and steam. Avoid people. Set size to 1024x1024.
A poster-style concept image matching the prompt, suitable for marketing ideation.
Generate a cover image for a tech blog: theme of a futuristic city and artificial intelligence, illustration style, cool color palette. Negative prompt: blurry, low quality, text, watermark. Size: 1280x720.
An illustrated cover image suitable for a blog post or article header.
Using the theme 'a small cabin in the forest,' generate two images: one realistic and one dreamy. Keep a similar composition, use a negative prompt to reduce distortion, and set size to 768x768.
Two images of the same theme in different styles for creative comparison.
Designers or content creators can quickly generate concept images from text prompts. It is useful for early-stage exploration of different visual directions and styles.
Marketers can use it to create visuals for posters, social posts, or campaign pages. Style and size settings help fit different publishing contexts.
When users want to reduce unwanted elements or visual issues, they can add negative prompts. This helps constrain the output toward the desired result.
It generates images from text prompts using the Kandinsky neural network API. It also supports styles, negative prompts, and configurable image dimensions.
Yes. The provided information explicitly says it supports style options and configurable image dimensions.
The provided material does not include installation steps or prerequisite details. See the source repository for that information.
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