anima_pipeline

Browser UI + optional LLM → ComfyUI Anima workflow automation. Point-and-click Danbooru prompt builder for anime image generation.

anima_pipeline is a local browser UI that connects to your ComfyUI Anima workflow and handles the tedious parts of anime-style image generation: looking up Danbooru tags, typing character details by hand, and rebuilding prompts from scratch every time.

GitHub (download here): https://tomotto1296.github.io/anima-pipeline/index_en.html

Full guide (Civitai Article): https://civitai.com/articles/27575

What it does

• Point-and-click prompt building — select hair style, hair color, eye color, expression, outfit, pose, and more via buttons. The Danbooru prompt is assembled automatically.

• Optional LLM integration — type a character name (e.g. "Reimu Hakurei") and an LLM auto-generates the Danbooru tags. Supports LM Studio (local/free), Gemini free tier, or any OpenAI-compatible API. Works 100% offline without LLM too.

• Multi-character — up to 6 characters simultaneously in separate blocks

• LoRA injection — card grid with thumbnail preview, up to 4 slots, auto-fetches your ComfyUI LoRA list

• Workflow switching — drop any API-format workflow JSON into workflows/ and select from dropdown

• Character presets — save/load configs with thumbnail gallery. Auto-generate from character name + Danbooru Wiki via LLM.

• Session auto-save — picks up where you left off

• Mobile support — use from phone/tablet on the same Wi-Fi

Requirements

• ComfyUI 0.16.4+ with Anima workflow (grab from ComfyUI's Browse Templates)

• Anima model files — download from Hugging Face: https://huggingface.co/circlestone-labs/Anima/tree/main/split_files

  • qwen_3_06b_base.safetensors → models/text_encoders/

  • qwen_image_vae.safetensors → models/vae/

  • anima-preview.safetensors → models/diffusion_models/

• Python 3.10+

• LLM optional (Gemini free tier recommended for beginners)

Quick start

1. Download ZIP from GitHub → extract

2. Get Anima workflow JSON from ComfyUI Browse Templates → Save (API Format) → place in workflows/

3. Double-click start_anima_pipeline.bat (Windows) or run python anima_pipeline.py

4. Open http://localhost:7860