Fizgig — LoRA & Fine-tune Studio for Klein 9B, Flux 3 Image Klein, Krea 2, MiniMax H3, Qwen Image 2.1, MOSS-Image, Z-Image Turbo, SDXL & Anima

Fine-tune base models on consumer GPUs — down to 8 GB. Fix broken LoRAs without retraining. Find the best epoch by eye.
A train · fine-tune · repair · explore workbench built end-to-end for Flux 2 Klein 9B, Flux 3 Image Klein, Krea 2, MiniMax H3, Qwen Image 2.1, MOSS-Image, Z-Image Turbo, SDXL and Anima — training on photos, video, sound and voices, from quick LoRAs to the full base model.

_{No GPU, or want a bigger one? Fizgig runs on rented hardware — one click, nothing to install.
On RunPod's page, add a 300 GB Volume disk before Deploy Pod (how).
Deploying through that link supports Fizgig's development at no extra cost to you.}

_{Start-to-finish walkthrough — install, prep, caption, train, and the workbench tools}

📰 Latest news

• Fizgig 8.9.6 — masked training. Train on the part of each picture that matters: the person, not the room around them. A black-and-white mask beside a picture says which part counts, and Image Prep makes them for a whole folder in one click (the person, just the face and hair, the body without the face, and more). In our tests of character LoRAs, masks significantly raised both the best likeness a run reached, by eye and in likeness scores, and how quickly it got there, on every recent model. It seems especially effective on MOSS-Image with its default Clean-end share, Slide. Release notes · Masked training guide
• Fizgig 8.9.5 — faster training on 40 GB+ cards. On most pods (A100, A40, A6000, L40S, H100, RTX PRO 6000) Auto now turns gradient checkpointing off when the run fits with room to spare: 13–27 % faster per step on Krea 2, Qwen Image 2.1, MOSS-Image, Z-Image and MiniMax H3. Where it doesn't all fit, the last blocks go without it: 2–21 % faster. Previews keep at least 4 GB free, and cards of 32 GB and under train as before. Release notes
• Fizgig 8.9.0 — your other GPUs, at home or in the cloud, speeding up your run. A helper is another computer running Fizgig: a second PC or laptop, a second GPU in this computer, or a RunPod or Vast.ai pod. It renders your previews so training never stops for them, takes over a run while you need your computer, or trains a share of each epoch alongside your GPU. In a share, each GPU trains its own copy of the LoRA on its part of the images and the copies' changes are added into one LoRA at every combine: in testing its likeness matched a one-GPU run. On a fast network, combine every epoch for the closest result. It pays most on long runs. Training on a pod? Your home GPU can help it, and its checkpoints come home as they're saved. Release notes · ▶ Watch the video · Helpers guide
• Fizgig 8.8.1 — MOSS-Image likeness sooner, and previews with the SFT look. A new Clean-end share default, Slide, brings likeness in early and keeps it: on our most difficult dataset, the best of eight settings we tried, around 70% likeness from epoch 20 to epoch 60. Base previews can take on much of MOSS-Image SFT's look with no model swap, every enlarged preview says how it was made, and Krea 2's Auto precision no longer picks a slow setup on 16 GB cards. 8.8.2 stops the web UI freezing when you open it during a long run. Release notes · 8.8.2 · ▶ Watch the video · MOSS-Image guide
• Fizgig 8.5 — MOSS-Image. OpenMOSS's new 5B open image model trains in Fizgig: LoRAs, LoKRs, sliders, full fine-tuning, Multi Concept and Fizgig LoRA Isolation, with previews on MOSS-Image SFT, the model most people generate with, and every workbench tool. Brought to Fizgig by @Murf-Code. 8.5.1 fixes the GPU readout on AMD cards (thanks @scryptio); 8.5.3 fixes Linux launching; 8.5.4 makes MOSS-Image previews render as ComfyUI does; 8.5.5 trains MOSS-Image at 1 MP; 8.5.8 fixes MOSS-Image training with block swap; 8.5.9 makes MOSS-Image Studio renders faster; 8.6.0 improves MOSS-Image likeness and adds an option for training on SFT; 8.6.1 fixes noisy Qwen Image 2.1 previews; 8.7 brings MOSS-Image likeness much sooner with a new Clean-end share option, 30% by default since 8.7.1, fine-tunes included in 8.7.2, since 8.7.3 a fine-tune fits a 16 GB card, and 8.7.4 adds an 8-step Turbo LoRA for fast previews on Base, 8.7.5 lets MOSS-Image train on computers with 16 GB of RAM, 8.7.6 fixes the cache on a resume and for a refilled folder, 8.7.7 drops Kromoss, 8.7.8 adds preview and save schedules, 8.7.9 is a maintenance release, and 8.8.0 fixes resuming a run on Python 3.10. Release notes · MOSS-Image guide
• Fizgig 8.4 — Fizgig LoRA Isolation. Train two people into one LoRA and every stranger keeps their own face: with a normal LoRA 48 of 50 strangers came out looking like the trained person, with LoRA Isolation 0 of 50, at the same likeness. DOP from @ostris's AI-Toolkit at its base, with Fizgig's own techniques on top, set up on the Training tab's new Subjects card, on every model except ACE-Step. 8.4.2 adds a trigger word checker on the same card. Demo · How to set it up · Release notes
• Fizgig 8.1 — Flux 3 Image Klein, from day one. Black Forest Labs' new 5.6B text-to-image and edit model trains in Fizgig the day it came out: LoRAs, LoKRs, edit LoRAs from before/after pairs, slider LoRAs and full fine-tuning, from an 8 GB card, with every workbench tool, prompt travel and edit chains in LoRA Royale included. Release notes · Flux 3 guide
• Fizgig 8 — the new app (yes, the web UI). Fizgig opens in its own window or your browser, and your phone can watch a run. One Pods tab opens your other computers' GPUs, found on your network by themselves, and RunPod pods, logged in for you. What's training and what's up next sit in the sidebar on every tab, and Runs & outputs keeps every run. Updating keeps your settings, presets, folders and queued runs; a welcome tour on the first start shows where everything went. Release notes · The app
• Fizgig 7.3 — music with ACE-Step 1.5 XL. Train LoRAs on your own songs, music sliders and full fine-tuning, previews you play in the gallery, and Repair Studio as a DAW for AI music: covers, repaint and extend, a model EQ. Gizmo gets a Music tab for cutting songs into sections. Release notes · ACE-Step guide
• Fizgig 7.2 — Qwen Image 2.1 Turbo. Repair Studio, LoRA the Explorer and LoRA Royale preview on Qwen's new Turbo model, and training previews use Comfy-Org's new Turbo LoRA: 8 steps, CFG 1, about four times faster, and LoRAs trained on the base keep their likeness on it. Plus MiniMax H3 long captions on V100-class cards by @Hell-Bent-Fox. Release notes
• Fizgig 7.1 — Z-Image Turbo, with its own training adapter. LoRA and LoKR training, sliders, full fine-tuning and every workbench tab. Fizgig's training adapter keeps Turbo's 8-step look while your LoRA learns: better likeness, image quality and detail than the adapter most people use. LoRAs from 12 GB cards, fine-tunes from 16 GB. Release notes
• **Fizgig 7.0 — Anima and SDXL arrive, fine-tuning for every model, and t