circlestone-labs/Anima

AI model by circlestone-labs

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Anima is a 2 billion parameter text-to-image model created via a collaboration between CircleStone Labs and Comfy Org. It is focused mainly on anime concepts, characters, and styles, but is also capable of generating a wide variety of other non-photorealistic content. The model is designed for making illustrations and artistic images, and will not work well at realism. It is trained on several million anime images and about 800k non-anime artistic images. No synthetic data was used for training. The knowledge cut-off date for the anime training data is September 2025. I recommend starting with Anima-Turbo. On average, it is only slightly worse than Anima-Aesthetic, while being very fast to generate (and much cheaper if you use it on an online platform that scales the cost with step count). This makes it very convenient for quickly iterating on prompts. The increased stability can even make it better than Aesthetic in…

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Model overview

circlestone-labs/Anima is a task-unspecified model repository published by circlestone-labs on Hugging Face. The source reports the diffusion-single-file library.

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Model facts

Task: Not reported
Library: diffusion-single-file
Recent downloads (30 days): 1,858,907
Cumulative likes: 2,523
Hugging Face trending score: 32
Reported safetensors parameters: Not reported
Architecture: Not reported
License: other
Access: Not gated by Hugging Face
Created: 2026-01-29T21:17:57.000Z
Last modified: 2026-08-24T23:52:12.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: nvidia/Cosmos-Predict2-2B-Text2Image

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:50:33.901Z. Daily imports are snapshots, not real-time monitoring.

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