Local Generation with Open Models
Running open models locally gives unlimited generations, privacy and deep control, at the cost of setup and hardware.
Hardware
A GPU with 8 GB of VRAM can run many models with optimisations; 12–24 GB is comfortable for larger ones. Apple Silicon Macs also work with suitable software. Cloud GPUs are an option if you lack hardware.
Interfaces
- ComfyUI: node-based workflows, very flexible and shareable.
- Automatic1111 / Forge: classic web interfaces with many extensions.
- InvokeAI: polished interface with a canvas for editing.
Download models only from reputable sources, prefer safetensors files and check each model's licence.
Key settings
| Setting | Effect |
|---|---|
| Steps | more denoising steps: more detail, slower (diminishing returns) |
| CFG / guidance scale | how strictly the prompt is followed; too high looks harsh |
| Sampler / scheduler | denoising algorithm; affects style and speed |
| Seed | reproducibility; same seed + settings = same image |
| Resolution | use the model's native resolution, then upscale |
Control
- ControlNet and similar guide composition with edges, depth maps, poses or sketches, so the layout is exactly what you want.
- LoRAs add styles, characters or products.
- IP-Adapter-style references transfer the look of a reference image.
Workflows as assets
Save ComfyUI workflows as files in version control. A reusable "product on pedestal, studio lighting" workflow can produce consistent images for a whole catalogue.
Exercise
Install ComfyUI (or a hosted equivalent), generate an image with a fixed seed, then use a ControlNet depth or edge map from a photo you took to control composition. Save the workflow and reproduce the image exactly.
Check yourself
- What does the seed control?
- What does ControlNet add?
- Why save workflows as files?
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