anima-base

anima-base is a skill for Claude Code, Codex from sandyup/comfyui-mcp. It costs 67 tokens per session (4,937 once invoked), scanned A, original, MIT.

An anime and illustration image generator based on the ANIMA 1.0 model. It accepts both Danbooru-style tags, which are common anime image labels, and ordinary written prompts.

In plain words
What is it for?
Use it to generate anime characters, manga scenes, and other illustrated artwork, or to fill in parts of an existing anime image.
Why use it?
It helps create anime or manga-style images without needing a large amount of graphics memory. It is intended for illustrated styles rather than realistic images.

Skill for Claude CodeCodex

Part of the comfy plugin — 32 skills, 11 commands, 4 agents, 2 hooks shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/sandyup/comfyui-mcp/anima-base
Any agent
npx skills add sandyup/comfyui-mcp --skill anima-base
Clone the repo
git clone --depth 1 https://github.com/sandyup/comfyui-mcp

Made for: Claude Code, Codex.

Or install comfy, the plugin that ships this one along with the rest of its 32 skills, 11 commands, 4 agents, 2 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for anima-base

README.md
[![agentmods](https://agentmods.dev/badge/skills/sandyup/comfyui-mcp/anima-base.svg)](https://agentmods.dev/skills/sandyup/comfyui-mcp/anima-base)
Your own site
<a href="https://agentmods.dev/skills/sandyup/comfyui-mcp/anima-base"><img src="https://agentmods.dev/badge/skills/sandyup/comfyui-mcp/anima-base.svg" alt="Measured on agentmods" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,937 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00067 $0.04937
Opus 5 $0.00034 $0.02469
Sonnet 5 $0.00013 $0.00987
Haiku 4.5 $0.00007 $0.00494

Measured 4d ago against content hash b4ae1ee6839c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

anima-base scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/anima-base/SKILL.md · 241 lines

How it starts

The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ANIMA 1.0 (Anima Base Ultra) Text-to-Image Workflows

Overview

Anima is a ~2B-parameter anime / illustration text-to-image base model from CircleStone Labs (in collaboration with Comfy Org). It is not SDXL-lineage: the architecture is NVIDIA Cosmos-Predict2-2B-Text2Image (a DiT / flow model), trained on several million anime images plus ~800k non-anime artistic images. It is best for anime, manga, and illustrated characters/styles (not realism).

Key traits:

  • Accepts Danbooru-style tags AND/OR natural language in the same prompt.
  • Very low VRAM — generates (and trains) on <6GB VRAM; runs on any PC that can run SDXL/Illustrious.
  • License: CircleStone Labs Non-Commercial License (with NVIDIA Open Model License terms on the weights/derivatives). Generated images are usable commercially per the model card — verify the current license text before relying on this.

Loaded in ComfyUI with standard split-file loaders (not a single checkpoint):

Component Node Model file Folder Notes
Diffusion model UNETLoader anima-base-v1.0.safetensors models/diffusion_models/ weight_dtype default; ~4GB fp
Text encoder CLIPLoader qwen_3_06b_base.safetensors models/text_encoders/ Qwen3-0.6B base; type": "stable_diffusion" in this pack
VAE VAELoader qwen_image_vae.safetensors models/vae/ Qwen-Image VAE (~254MB)

Verified from the pack's workflow JSON: CLIPLoader widget values are ["qwen_3_06b_base.safetensors", "stable_diffusion", "default"]. (The HF model card describes standard loaders; the exact CLIP type string stable_diffusion is what the Aitrepreneur "Anima Base Ultra" workflow ships — use it as-is.)

Installation

The "Anima Base Ultra" pack (by Aitrepreneur) installs custom nodes and downloads all models. Models are mirrored on https://huggingface.co/Aitrepreneur/FLX/resolve/main (the official source is https://huggingface.co/circlestone-labs/Anima).

Read the full file on GitHub · 241 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 241 lines · 67 tokens per session scan A b4ae1ee6839c

Subscribe to this mod's changes

anima-base is a skill published in the GitHub repository sandyup/comfyui-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 4,937 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

general-video

Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…

heygen-com/hyperframes · 92 tokens

html-ppt-hermes-cyber-terminal

OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.

nexu-io/open-design · 53 tokens

html-ppt-taste-brutalist

16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).

nexu-io/open-design · 78 tokens

diagnostic-stem-delivery

Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.

HKUDS/OpenSpace · 23 tokens

chengfeng-check-updates

剪辑环境的唯一管理者:就绪检查(skills 是否最新 → Runtime 是否配套)、Skills 更新激活、Runtime 安装与体检。用户说检查更新、安装剪辑环境、装播放器、检查剪辑环境、剪辑环境就绪了吗、配置转录凭证时使用;业务 Skill(剪口播/字幕/画面/导出)第 0 步也引用本 Skill 的就绪检查。不用于剪辑、字幕、画面、导出本身或项目数据迁移。.

Agentchengfeng/chengfeng-videocut-skills · 120 tokens

infographic-template-updater

Update template catalogs and UI prompts after adding new infographic templates (src/templates/.ts), including SKILL.md template list, site gallery template mappings, and the AIPlayground prompt list.

antvis/Infographic · 43 tokens