anima_pipeline
Workflow
Anima
Workflow
Anima
v1.5.20

anima_pipeline

⭐ 0.0
⬇ 81 Downloads
👁 1 Views
🖼 4 Images

About this model

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): guide (Civitai Article): />

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: → models/text_encoders/

  • qwen_image_vae.safetensorsmodels/vae/

  • anima-preview.safetensorsmodels/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

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