AnimaForge
Free, local, one-click LoRA trainer built only for Anima. Point it at a folder. Name it. Forge.
Training a LoRA shouldn't mean an evening lost in Kohya's wall of knobs. AnimaForge is a free Windows app that does the whole run from one screen: pick your image folder, name the LoRA, hit Train. It auto-captions (WD14 tags + JoyCaption descriptions), calculates sane step counts for your dataset size, and trains with settings hand-tuned for one model — Anima. That focus is the whole point.
You watch it learn. Preview images render every epoch while training runs. Flip on Compare epochs to see them side by side, spot the earliest epoch that already nails your character, and stop right there — no over-training guesswork, no re-runs. Stopped too soon or crashed? Resume from the last checkpoint.
It has opinions, so you don't need any. Pick a preset — Person, Object / Concept, or Style — and the subject handling, optimizer, network size, and step budget are set. Power users can save their own presets, switch optimizers (Prodigy auto-LR or classic AdamW8bit), and preview the exact training config before launch. Guard rails catch the classics before they burn a run: empty captions (one-click fix), low VRAM, even duplicate images hiding in your dataset.
It finishes the job. One click copies the trained LoRA into your Forge or ComfyUI models folder — with the trigger word baked into the filename, so anyone you share it with knows exactly what to type. A batch queue runs multiple LoRAs unattended and survives a restart.
Runs on your machine. Your images, captions, and LoRAs never leave your computer. No subscriptions, no queues, no uploads.
WHAT'S NEW — v1.9
• Training presets: one-click intents (Person / Object / Style) + save your own in Setup
• Compare epochs: side-by-side previews per epoch — stop at the earliest best
• Deliver to ComfyUI + trigger word in the delivered filename
• Duplicate catcher: same-name images flagged in the gallery, one-click delete
• Cleaner, more readable UI (proper CJK support), accurate speed/ETA dials, RTX 50-series ready
Full history: github.com/SillySilk/AnimaForge
WHAT YOU'LL NEED
• Windows + NVIDIA GPU (CUDA) — includes RTX 50-series. No CPU/AMD path.
• ~16 GB VRAM comfortable; low-VRAM mode reaches smaller cards (8 GB practical floor).
• The three Anima files (Setup auto-detects them): DiT checkpoint, Qwen3 text encoder, Qwen-Image VAE — from Hugging Face circlestone-labs/Anima.
GET IT → github.com/SillySilk/AnimaForge
install.bat (one-time — builds a self-contained .venv with the full stack), then launch.bat.
100% free and open source (MIT). Built for the Anima community. Forge something great.
------------------------------ ② VERSION DESCRIPTION (v1.9) ------------------------------
v1.9 — presets, epoch comparison & your feedback
• Training presets — one-click intents (Person / Object / Style), plus save your own in Setup for bigger configurations
• Compare epochs — side-by-side previews per epoch; stop at the earliest one that nails it
• Deliver to ComfyUI, and delivered files are named name_trigger.safetensors so the trigger is never a mystery
• Duplicate images get caught — same-name doubles are flagged in the gallery with one-click delete
• Feedback round 2: accurate speed/ETA dials, readable UI text (incl. Korean Windows), previews every epoch by default, config check at launch, side-by-side installs stay separate, real version stamp
Every item here came from user feedback — keep it coming.
Full detail: github.com/SillySilk/AnimaForge
Description
<!--
CIVITAI VERSION UPDATE — AnimaForge v2.1 (autosave + updater release)
HOW TO USE: Civitai → your AnimaForge model → Add Version.
• Version name: v2.1
• File: marketing/Zip file 2026-07-03/AnimaForge.zip (built from
public main @ 67d9bcc, app version 2.1.0 — replace the old zip)
• Paste ONLY the short blurb below as the version description.
• Also swap the "What's new" section of the model description and add the
v2.1 row to the version-history code block.
-->
## v2.1 — never lose a captioning run
- **Project autosave** — when captioning finishes (and again when the final caption files are built), the whole run is saved under your LoRA's name automatically; a failure or a re-crop later can't cost you the work
- **Restore captions** — one click in Saved Sets puts either autosaved restore point back into the dataset folder
- **Walk away for real** — the low-VRAM warning no longer strands an unattended run: it auto-continues after 10 seconds (manual runs still wait for you)
- **In-app updates** — a small ⟳ Updates button on the front page checks GitHub and updates AnimaForge in place; your sets, settings, and models are never touched
Full detail: **github.com/SillySilk/AnimaForge**