Guides
Practical walkthroughs for training, generating, and managing models with modl.
Getting Started 3
Getting Started with modl
Install modl, pull your first model, and generate an image — all in under 5 minutes. Then explore training, the web UI, and what to try next.
Which Model Should I Use?
Understand the six ways modl creates images, compare all 16 supported models by size, speed, quality, and VRAM — with side-by-side generated samples.
Generate, Train & Browse From Your Browser
Launch modl's built-in web interface for visual generation, training management, and output browsing — all running locally on your machine.
Generate 4
Fast Inference with Lightning LoRAs
Use --fast to generate images 10x faster with Lightning distillation LoRAs. Side-by-side comparisons of text rendering, editing, and outpainting quality at 4, 8, and 50 steps.
Product Photography Pipeline
Generate, edit, and process product images — from studio shots to lifestyle placements. Compare models, explore background removal, upscaling, outpainting, and the multi-seed pick-the-best workflow.
Make a Children's Book of Your Dog with AI
Train a LoRA of your pet, generate consistent illustrations with a quality-checking pipeline, and compile a print-ready PDF storybook.
Multi-Stage Generation: Z-Image to ZIT Refiner
Chain models for better results — generate with Z-Image base for prompt adherence, then refine with Z-Image Turbo for detail. Two commands, one pipeline.
Edit & Refine 6
From Draft to Final: Upscale + Score
Take a generated image from draft to production quality — upscale to 4096px and score to filter your best work. Two commands, one CLI.
Shape Control with ControlNet
Turn sketches into photos, swap materials, transfer compositions — use structural control to tell the AI where everything goes while changing everything else.
Shape Control Without ControlNet
Use preprocessor outputs as structural guides for edit models — get ControlNet-like results without ControlNet weights. Klein 4B does it in 4 steps.
Transfer Style From a Reference Image
Transform any photo into oil paintings, anime, comic books, coloring pages, pixel art, and more — 20+ real examples across two subjects using Klein 9b and Z-Image.
Inpaint Any Image with Any Model
LanPaint brings training-free inpainting to every model in modl. Remove people, change expressions, swap objects — no dedicated inpaint model required.
Virtual Try-On Deep Dive
The definitive comparison of every clothing-swap method in modl — text edits, reference images, and inpainting — tested across jackets, dresses, pants, and accessories with real results.
Train 3
Train Your First Style LoRA
Go from a folder of kids' drawings to a working SDXL style LoRA — dataset creation, captioning strategy, training, and testing.
Train a Character LoRA — From 24 Photos to Infinite Scenes
I trained my Pomeranian on 5 models in one day. Real benchmarks, real failures, and the one setting that fixed Z-Image.
Datasets
Create, caption, and manage training datasets for LoRA training with modl
Analyze 3
Upscale, Restore & Score Images
Score, detect faces, segment objects, restore faces, upscale, and remove backgrounds — six commands that read an image and output a result. Chain them into pipelines.
Caption, Tag & Detect Objects
Find objects by name, generate captions, and auto-tag images using Qwen3-VL. Three commands that bridge language and image understanding.
Capabilities Reference
What can each model do? A task-oriented guide mapping every modl capability to the models that support it, with recommended picks and CLI commands.
