Anime-Themed Text-to-Image
Generate character portraits, manga-style scenes, and anime key art from detailed text prompts.

Animagine XL 3.1 is a proven anime text-to-image model for Danbooru-style prompts, character portraits, manga-inspired scenes, and clean anime illustrations. It is a strong baseline for creators who want fast anime image generation with familiar tag syntax.


Creator workflows
Build production-ready comics, manga, storyboards, videos, and connected IP workflows with LlamaGen.
特性
Animagine XL 3.1 is a reliable anime model for creators who prefer tag-driven prompts and fast character generation.
Generate character portraits, manga-style scenes, and anime key art from detailed text prompts.
Animagine XL 3.1 works well with structured anime tags, making it approachable for Danbooru-style prompt writers.
Use it when you want a stable, familiar anime model before testing newer Animagine XL v4 variants.
探索範例

Animagine XL 3.1 Replicate preview image for anime-themed text-to-image generation.
Anime character portrait generated with tag-style prompting.
Anime scenery example with cinematic sky and detailed city background.
它是如何工作的
Start with the subject tags: number of characters, hair, eyes, outfit, pose, camera framing, and setting.
Add quality and style tags, then use negative prompts to remove low-quality artifacts, watermark text, and anatomy issues.
Generate, review the composition, then refine the tag order and details for a cleaner anime result.
常見問題
Animagine XL 3.1 is an anime-themed text-to-image Stable Diffusion model on Replicate. It is designed for anime characters, manga-style scenes, and tag-based prompt workflows.
Use Animagine XL 3.1 for a proven classic anime baseline. Use Animagine XL 4.0 or Animagine XL V4 Opt when you want newer v4-style detail and prompt behavior.
Yes. Negative prompts are useful for reducing low quality, watermark, bad anatomy, extra digits, and other common anime diffusion artifacts.
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Trusted Creative Infrastructure
Create anime characters, manga scenes, and classic diffusion-style illustrations with structured prompts.
Use clear tags and negative prompts for the best results.
Model Version
Prompt Style
Typical Wait