> For the complete documentation index, see [llms.txt](https://docs.pletor.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pletor.ai/model-library/image-models/recraft-v4.md). # Recraft v4 ## Overview Recraft V4 excels at generating images with intentional composition, balanced color, and refined detail — what Recraft calls "design taste." Use it when you need visuals that feel art-directed rather than stock-like, especially for brand systems, campaigns, and print-ready assets. The model has two core differentiators: it treats typography as a structural part of the composition (not just an overlay), and it's the only model capable of generating native, editable SVG vector files. ### Strengths for marketers * Strong compositional judgment: intentional negative space, clear hierarchy, and layout-aware outputs ready for headlines and overlays * Native vector generation: production-quality SVG files with real paths, structured layers, and clean geometry * Precise prompt accuracy with prompts up to 10,000 characters * RGB color control: specify exact brand colors and maintain them across generations * Consistent visual identity across campaign-style outputs ### Ideal use cases * **Visual direction:** Create assets to influence downards nodes & models * **Editorial covers:** Art-directed photography with film-like tonal depth * **Vector assets:** Icons, logos, illustrations as production-ready SVGs — no tracing needed * **Branding systems** Cohesive visuals across formats with consistent design language * **Posters & print layouts:** Layout-aware compositions with space for typography and overlays ### Weaknesses * **Complex human dynamics:** Scenes depending on believable interpersonal relationships or gestural accuracy between figures don't land well. The model can render people but struggles with the logic of how people relate to each other in space. * **Does not handle reference images**, limiting image editing, product & character consistency use cases. * **Dense or integrated text accuracy:** Product labels, packaging, multi-element interfaces — the visual rendering can appear fine while the actual copy is wrong. Not reliable where text accuracy inside the image matters. ### Pro tips * Define the final format in your prompt (poster, hero banner, editorial cover) — it helps the model build the right composition from the start * Describe spatial relationships, not just subjects: "centered subject with empty upper third" beats a subject-only description * Use V4 for iteration and exploration (\~10s), V4 Pro for final production assets (\~30s, 2048x2048) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.pletor.ai/model-library/image-models/recraft-v4.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.