Anima

Updated
24.08.2026
Visuals

Anima is a 2B text-to-image model from CircleStone Labs and Comfy Org, trained on several million anime images for illustration and artistic work.

At a glance

  • License: CircleStone Labs Non-Commercial; generated images are free to use, including commercially
  • Parameters: 2B
  • Modality: text to image, anime and non-photorealistic art
  • Resolutions: 512 to 1536 pixels squared
  • Minimum hardware: about 5.6 GB of files, runs natively in ComfyUI

What is Anima?

Anima is a 2 billion parameter text-to-image model created by CircleStone Labs in collaboration with Comfy Org. It is focused on anime concepts, characters and styles, and also generates a wide variety of other non-photorealistic content. It is a model for illustrations and artistic images, and the vendor is explicit that it will not work well at realism. Training used several million anime images and about 800k non-anime artistic images, with no synthetic data; the anime knowledge cutoff is September 2025.

SpecificationAnima
Parameters2B
ModalityText to image
Text encoderQwen3 0.6B base
VAEQwen-Image VAE
Resolutions512 to 1536 pixels squared
VersionsBase, Aesthetic, Turbo
Release dateJanuary 2026
LicenseCircleStone Labs Non-Commercial

Anima versions

The repository ships three variants. Anima-Base is the pretrained, unrefined base model with maximum flexibility and diversity, and the version LoRAs should be trained on. Anima-Aesthetic is fine-tuned for better consistency and a higher quality default art style. Anima-Turbo is a distilled version for fast generations at CFG 1 and 8 to 12 steps; CircleStone recommends starting with Turbo, since on average it is only slightly worse than Aesthetic while being much faster to iterate with.

Prompting follows Danbooru conventions: lowercase tags with spaces instead of underscores, artists prefixed with @, and quality tags such as masterpiece and best quality up front. Natural language captions work too, and the two can be mixed in arbitrary order. For Base and Aesthetic the vendor suggests 30 to 50 steps at CFG 4 to 5.

Anima hardware requirements

The download is small for an image model. Each diffusion checkpoint is 4.18 GB, the Qwen3 0.6B text encoder is 1.19 GB, and the Qwen-Image VAE is 0.25 GB, so a full setup is about 5.6 GB on disk. The model is natively supported in ComfyUI and generates between 512 and 1536 pixels squared, which puts a consumer GPU with 8 GB or more of VRAM in comfortable territory.

FileGoes toSize
anima-turbo-v1.0.safetensorsmodels/diffusion_models4.18 GB
qwen_3_06b_base.safetensorsmodels/text_encoders1.19 GB
qwen_image_vae.safetensorsmodels/vae0.25 GB

How to run Anima locally

Anima runs natively in ComfyUI. Download the three files from the circlestone-labs/Anima repository, place them in the matching ComfyUI model folders, and open the example workflow image from the repo; ComfyUI loads the whole graph from it. Swap the checkpoint between Base, Aesthetic and Turbo depending on whether you are training LoRAs, chasing the best default style, or iterating fast.

For language models you can run next to it, see the full catalog of models that run locally in Atomic Chat.

Anima license

The weights ship under the CircleStone Labs Non-Commercial License: model use is limited to non-commercial purposes, and commercial use of the model itself requires a separate license from CircleStone Labs. The license claims no ownership of outputs, so the images you generate can be used for any purpose, including commercial work. Read the license file on the repository before deploying it anywhere revenue touches.

Get the weights from Hugging Face

huggingface-cli download circlestone-labs/Anima split_files/diffusion_models/anima-turbo-v1.0.safetensors
huggingface-cli download circlestone-labs/Anima split_files/text_encoders/qwen_3_06b_base.safetensors
huggingface-cli download circlestone-labs/Anima split_files/vae/qwen_image_vae.safetensors
# Anima is natively supported in ComfyUI; the repo ships a drag-and-drop workflow image.
# Place the files in your ComfyUI model directory:
#   anima-turbo-v1.0.safetensors  -> ComfyUI/models/diffusion_models
#   qwen_3_06b_base.safetensors   -> ComfyUI/models/text_encoders
#   qwen_image_vae.safetensors    -> ComfyUI/models/vae
# Then open example.png from the repo in ComfyUI to load the workflow.
Desktop
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Windows
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Linux
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Frequently asked questions

Anima is a 2 billion parameter text-to-image model created by CircleStone Labs together with Comfy Org. It focuses on anime concepts, characters and styles, and also handles a wide range of other non-photorealistic art. It was trained on several million anime images and about 800k non-anime artistic images, with no synthetic data.

Yes. The CircleStone Labs Non-Commercial License claims no ownership of outputs, so images you generate can be used for any purpose, including commercial work. The model weights themselves are limited to non-commercial use; for commercial use of the model itself you need a separate license from CircleStone Labs.

CircleStone recommends starting with Anima-Turbo: it is distilled for fast generations at CFG 1 with 8 to 12 steps and has a strong, stable default style. Anima-Base is the unrefined base model with maximum flexibility, and the version to train LoRAs on. Anima-Aesthetic is fine-tuned for a higher quality default art style.

Each Anima checkpoint is about 4.2 GB, plus a 1.2 GB Qwen3 0.6B text encoder and a 0.25 GB VAE. The model is natively supported in ComfyUI and generates at resolutions between 512 and 1536 pixels squared, so a consumer GPU with 8 GB or more of VRAM is a practical target.

Anima is trained on Danbooru-style tags, natural language captions, and combinations of both. Use lowercase tags with spaces instead of underscores, prefix artists with @, and start with the recommended positive prefix of quality tags. The vendor suggests 30 to 50 steps at CFG 4 to 5 for Base and Aesthetic, and CFG 1 at 8 to 12 steps for Turbo.