What is anima-lora-trainer?

A local tool for training small add-on models called LoRAs for Anima, an image-generation model. It prepares the images, runs the training, and produces a file that can be used in ComfyUI.

Use it to prepare a training dataset, set training options, train character or style LoRAs, and use the resulting .safetensors file in an Anima ComfyUI workflow.

It provides a guided way to teach Anima a particular character or visual style without needing a large graphics card. The included setup is designed to work with about 6 GB of video memory.

anima-lora-trainer — Skill for Claude Code by artokun

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.

Any agent

npx skills add artokun/comfyui-mcp --skill anima-lora-trainer

Clone the repo

git clone --depth 1 https://github.com/artokun/comfyui-mcp

Made for: Claude Code.

Or install comfy, the plugin that ships this one along with the rest of its 42 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/artokun/comfyui-mcp/anima-lora-trainer/github.svg)](https://agentmods.dev/skills/artokun/comfyui-mcp/anima-lora-trainer)

Your own site

<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/anima-lora-trainer"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/anima-lora-trainer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/anima-lora-trainer"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/anima-lora-trainer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,574 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00064	$0.02574
Opus 5	$0.00032	$0.01287
Sonnet 5	$0.00013	$0.00515
Haiku 4.5	$0.00006	$0.00257

Measured 12d ago against content hash 8b306bf33b30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

anima-lora-trainer scanned grade A with 1 finding 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 12d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`app.py` runs Gradio on `0.0.0.0:7860`, so open http://127.0.0.1:7860. Re-launch later with `run_anima_base_windows.bat` (Win) or `./run_anima_base_runpod.sh` (RunPod). The DiT base model auto-downloads on the first "Sta

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

anima-lora-trainer — 91% identical, 55 lines differ

plugin/skills/anima-lora-trainer/SKILL.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Citron Anima LoRA Trainer

Overview

Citron's Anima LoRA Trainer (app.py, titled "Citron's Anima LoRA Trainer" in the UI) is a local Gradio UI for training LoRA adapters on the Anima diffusion model using kohya-ss/sd-scripts. It trains on ~6GB VRAM with the default settings, the same low-VRAM profile as Anima generation.

Created by Citron Legacy; UI repo: https://github.com/citronlegacy/citron-anima-lora-trainer-ui. The Aitrepreneur adaptive installers clone the fork https://github.com/aitrepreneur/citron-anima-lora-trainer-ui.
Training backend: kohya-ss/sd-scripts (https://github.com/kohya-ss/sd-scripts), launched via accelerate launch.
Trains LoRAs for Anima DiT (Cosmos-2B). Uses Anima's own components: DiT weights + Qwen3-0.6B text encoder + Qwen-Image VAE.
Output: a standard .safetensors LoRA usable directly in the anima-base ComfyUI workflow.

The network module is networks.lora_anima and the training script is sd-scripts/anima_train_network.py (an Anima-specific kohya script the installer expects). Confirm these exist after the installer's git clone of sd-scripts. app.py references them, but they are pulled from the upstream repo at install time.

Setup

Windows

Run CITRON_ANIMA_LORA_TRAINER-V2.bat. It:

Ensures Git and Python 3.10 are present (via winget if missing).
Detects the NVIDIA GPU/driver and picks a matching PyTorch CUDA wheel automatically:
- Blackwell (RTX 50xx) → cu128, bf16
- Modern (RTX 20/30/40, etc.) → cu128/cu126/cu118 by driver, bf16 (fp16 on Turing)
- Pascal/Maxwell (GTX 10/9xx) → cu126/cu118, fp16
- Kepler/older → unsupported
Clones the UI repo, patches app.py defaults (base_model → anima-preview3-base, mixed_precision → detected value), writes app_configs/accelerate_gpu.yaml.
Creates .venv, installs PyTorch, clones and installs sd-scripts, installs app requirements.txt.
Downloads models into models/anima/{dit,text_encoder,vae}/ from https://huggingface.co/circlestone-labs/Anima/resolve/main/split_files/...:
- dit/anima-base-v1.0.safetensors (~4GB)
- text_encoder/qwen_3_06b_base.safetensors (~1.19GB)
- vae/qwen_image_vae.safetensors (~254MB)
Writes and launches run_anima_base_windows.bat.

Read the full file on GitHub · 168 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.

12d ago First seen · 168 lines · 64 tokens per session scan A 8b306bf33b30

Subscribe to this mod's changes

anima-lora-trainer is a skill published in the GitHub repository artokun/comfyui-mcp (740 stars, last pushed 2d ago), licensed MIT. It adds 64 tokens to every session and 2,574 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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anima-lora-trainer