How do I install the Civitai AI Art skill?

Run npx skillmds@latest add johnalbertini14-glitch/civitai-ai-art in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Civitai AI Art safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Civitai AI Art?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Civitai AI Art free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Civitai AI Art?

johnalbertini14-glitch (@johnalbertini14-glitch) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Civitai AI Art by johnalbertini14-glitch

Name: Civitai AI Art
Rating: 4.2 (5 reviews)
Author: johnalbertini14-glitch

Civitai AI Art

Generate AI artwork using CivitAI's JavaScript SDK. Use when the user wants to create AI-generated images using Stable Diffusion models from CivitAI, including anime-style illustrations, character art, or custom generations with specific prompts, negative prompts, seeds, and sampling settings.

File contents

CivitAI AI Art Generation

Generate AI artwork using CivitAI's official JavaScript SDK.

Prerequisites

Node.js 18+ environment
CivitAI API access token (stored in environment variable CIVITAI_API_TOKEN)
civitai npm package installed

Installation

npm install civitai

Usage

node scripts/get_illust.js [options]

Options

Option	Description	Default
`--prompt`	Main generation prompt (required)	-
`--negative`	Negative prompt	"bad quality,worst quality,worst detail,sketch,censor"
`--width`	Image width	832
`--height`	Image height	1216
`--seed`	Random seed	random
`--steps`	Sampling steps	20
`--cfg-scale`	CFG scale	5
`--model`	Model URN identifier	"urn:air:sdxl:checkpoint:civitai:827184@2514310"
`--sampler`	Sampler algorithm	"Euler a"
`--clip-skip`	CLIP skip layers	2
`--output`	Output file path	"./output.png"
`--lora`	LoRA network URN with optional strength (format: `urn,strength`)	-

Example Usage

# 基础生成
node scripts/get_illust.js --prompt "1girl, red hair, blue eyes, maid outfit, smile" --output maid.png

# 高级设置
node scripts/get_illust.js \
  --prompt "1girl, long silver hair, purple eyes, magical girl, cityscape at night" \
  --negative "lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet" \
  --width 1024 \
  --height 1536 \
  --steps 28 \
  --cfg-scale 6 \
  --seed 42 \
  --output magical_girl.png

# 使用不同模型
node scripts/get_illust.js \
  --prompt "fantasy landscape, floating islands, waterfalls" \
  --model "urn:air:sdxl:checkpoint:civitai:101055@128641" \
  --output landscape.png

# 使用 LoRA
node scripts/get_illust.js \
  --prompt "1girl, red hair, blue eyes, maid outfit, smile" \
  --lora "urn:air:sdxl:lora:civitai:162141@182559,0.8" \
  --output maid_with_lora.png

# 使用多个 LoRA
node scripts/get_illust.js \
  --prompt "1girl, cat ears, cute smile, IncrsAhri, multiple tails" \
  --lora "urn:air:sd1:lora:civitai:162141@182559,1.0" \
  --lora "urn:air:sd1:lora:civitai:176425@198856,0.6" \
  --output multi_lora.png

Markdown 链接示例

生成图片后，使用 markdown 格式包裹链接：

[生成的图片](https://blobs-temp.s3.us-west-004.backblazeb2.com/...)

Scheduler Options

Available sampler values:

Sampler Name	Enum Value
Euler a	EULER_A
Euler	EULER
LMS	LMS
Heun	HEUN
DPM2	DPM2
DPM2 a	DPM2_A
DPM++ 2S a	DPM2_SA
DPM++ 2M	DPM2_M
DPM++ SDE	DPM_SDE
DPM fast	DPM_FAST
DPM adaptive	DPM_ADAPTIVE
LMS Karras	LMS_KARRAS
DPM2 Karras	DPM2_KARRAS
DPM2 a Karras	DPM2_A_KARRAS
DPM++ 2S a Karras	DPM2_SA_KARRAS
DPM++ 2M Karras	DPM2_M_KARRAS
DPM++ SDE Karras	DPM_SDE_KARRAS
DDIM	DDIM
PLMS	PLMS
UniPC	UNIPC
LCM	LCM
DDPM	DDPM
DEIS	DEIS

Notes

Requires Node.js 18+ for native fetch support
Store API tokens securely using environment variables
Generated images are subject to CivitAI's terms of service
Some models may require specific permissions or subscriptions
The script always waits for job completion by default

---name: civitai-ai-artdescription: Generate AI artwork using CivitAI's JavaScript SDK. Use when the user wants to create AI-generated images using Stable Diffusion models from CivitAI, including anime-style illustrations, character art, or custom generations with specific prompts, negative prompts, seeds, and sampling settings.--- # CivitAI AI Art Generation Generate AI artwork using CivitAI's official JavaScript SDK. ## Prerequisites - Node.js 18+ environment - CivitAI API access token (stored in environment variable `CIVITAI_API_TOKEN`) - `civitai` npm package installed ## Installation ```bash npm install civitai ``` ## Usage ```bash node scripts/get_illust.js [options] ``` ### Options | Option | Description | Default | |--------|-------------|---------| | `--prompt` | Main generation prompt (required) | - | | `--negative` | Negative prompt | "bad quality,worst quality,worst detail,sketch,censor" | | `--width` | Image width | 832 | | `--height` | Image height | 1216 | | `--seed` | Random seed | random | | `--steps` | Sampling steps | 20 | | `--cfg-scale` | CFG scale | 5 | | `--model` | Model URN identifier | "urn:air:sdxl:checkpoint:civitai:827184@2514310" | | `--sampler` | Sampler algorithm | "Euler a" | | `--clip-skip` | CLIP skip layers | 2 | | `--output` | Output file path | "./output.png" | | `--lora` | LoRA network URN with optional strength (format: `urn,strength`) | - | ### Example Usage ```bash # 基础生成 node scripts/get_illust.js --prompt "1girl, red hair, blue eyes, maid outfit, smile" --output maid.png # 高级设置 node scripts/get_illust.js \ --prompt "1girl, long silver hair, purple eyes, magical girl, cityscape at night" \ --negative "lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, bad feet" \ --width 1024 \ --height 1536 \ --steps 28 \ --cfg-scale 6 \ --seed 42 \ --output magical_girl.png # 使用不同模型 node scripts/get_illust.js \ --prompt "fantasy landscape, floating islands, waterfalls" \ --model "urn:air:sdxl:checkpoint:civitai:101055@128641" \ --output landscape.png # 使用 LoRA node scripts/get_illust.js \ --prompt "1girl, red hair, blue eyes, maid outfit, smile" \ --lora "urn:air:sdxl:lora:civitai:162141@182559,0.8" \ --output maid_with_lora.png # 使用多个 LoRA node scripts/get_illust.js \ --prompt "1girl, cat ears, cute smile, IncrsAhri, multiple tails" \ --lora "urn:air:sd1:lora:civitai:162141@182559,1.0" \ --lora "urn:air:sd1:lora:civitai:176425@198856,0.6" \ --output multi_lora.png ``` ### Markdown 链接示例生成图片后，使用 markdown 格式包裹链接： ```markdown [生成的图片](https://blobs-temp.s3.us-west-004.backblazeb2.com/...) ``` ## Scheduler Options Available sampler values: | Sampler Name | Enum Value | |--------------|------------| | Euler a | EULER_A | | Euler | EULER | | LMS | LMS | | Heun | HEUN | | DPM2 | DPM2 | | DPM2 a | DPM2_A | | DPM++ 2S a | DPM2_SA | | DPM++ 2M | DPM2_M | | DPM++ SDE | DPM_SDE | | DPM fast | DPM_FAST | | DPM adaptive | DPM_ADAPTIVE | | LMS Karras | LMS_KARRAS | | DPM2 Karras | DPM2_KARRAS | | DPM2 a Karras | DPM2_A_KARRAS | | DPM++ 2S a Karras | DPM2_SA_KARRAS | | DPM++ 2M Karras | DPM2_M_KARRAS | | DPM++ SDE Karras | DPM_SDE_KARRAS | | DDIM | DDIM | | PLMS | PLMS | | UniPC | UNIPC | | LCM | LCM | | DDPM | DDPM | | DEIS | DEIS | ## Notes - Requires Node.js 18+ for native fetch support - Store API tokens securely using environment variables - Generated images are subject to CivitAI's terms of service - Some models may require specific permissions or subscriptions - The script always waits for job completion by default

Frequently asked questions