AI Image Generation
Stable Diffusion
Open-source foundation for custom fashion image pipelines
Stable Diffusion remains the base layer for teams that want full control: self-hosted generation, custom LoRA training on a brand's own garments and models, and no per-image API fees once infrastructure is set up. Fashion tech teams use it to build internal tools like virtual try-on prototypes, size-and-fit visualizations, or automated product photography pipelines that plug into a PIM or e-commerce catalog. Because it's open-source, quality and ease of use depend heavily on which interface or fine-tune you're running. It's overkill for a solo designer who just wants quick moodboard images, but it's the right choice when you need a repeatable, ownable pipeline.
Creative use cases
- Custom LoRA training on brand assets
- Self-hosted generation pipelines
- Internal tool building
Free resources for Stable Diffusion
All resources →Getting usable images out of ChatGPT
ChatGPT's built-in image generation reads text and layout well but struggles with tight art direction, here's the workaround.
Editing images with Gemini
Gemini's image capabilities go beyond generation into targeted editing of existing photos, here's how to use that well.
The structure behind a prompt that works
The repeatable six-part order that turns a vague idea into a specific, controllable AI image prompt.
Recorded workshop · €79
How to Properly Use Nano Banana for Creatives (Pro and 2)
25+ practical use cases: product placement, virtual try-on, pose and lighting variations, moodboards and lookbooks.