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metadata
license: other
license_name: circlestone-labs-non-commercial-license
license_link: LICENSE.md
tags:
  - text-to-image
  - diffusers
  - cosmos
library_name: diffusers
pipeline_tag: text-to-image
base_model: circlestone-labs/Anima

Anima 1.0 Turbo (SD.Next Diffusers Conversion)

Diffusers-format conversion of Anima 1.0 Turbo for use with SD.Next.

Anima is a 2 billion parameter text-to-image model created via a collaboration between CircleStone Labs and Comfy Org. It is focused on anime concepts, characters, and styles, and on non-photorealistic illustration in general; it is not intended for realism. The Turbo version is distilled for fast generation; distillation increases stability and imposes a strong default style, at some cost to diversity. The author recommends it as the starting point for prompt iteration.

Original model: circlestone-labs/Anima (split_files/diffusion_models/anima-turbo-v1.0.safetensors)

Architecture

  • Transformer: CosmosTransformer3DModel (2B params, 28 layers)
  • Text Encoder: Qwen3-0.6B (replacing Cosmos T5-11B)
  • LLM Adapter: Custom cross-attention adapter bridging Qwen3 to the transformer
  • VAE: AutoencoderKLWan

Recommended Settings

  • 8-12 steps, CFG 1
  • Resolutions between 512x512 and 1536x1536

Prompting

  • Trained on Danbooru-style tags, natural language captions, and combinations of both. Tags are lowercase with spaces instead of underscores; score tags are the only tags that use underscores.
  • Recommended positive prefix: "masterpiece, best quality, score_7, safe, "
  • Recommended negative: "worst quality, low quality, score_1, score_2, score_3, artist name, blurry, jpeg artifacts, chromatic aberration"
  • Artist tags require an @ prefix (e.g. "@artist name"); without it the effect is very weak.

License

CircleStone Labs Non-Commercial License v1.2 (see LICENSE.md). As a derivative of Cosmos-Predict2-2B-Text2Image, the model is also subject to the NVIDIA Open Model License. The non-commercial restriction applies to the model weights, not to generated images.