AI Image Generation
Flux (Black Forest Labs)
Open-weight image model prized for realism and control
Flux has become a workhorse for teams that need photorealistic output with tighter prompt adherence than many competitors, including accurate hands, fabric drape, and typography on packaging or labels. Because model weights are open and it's available through several hosting platforms and APIs, in-house dev teams can fine-tune or run it privately, which matters for brands protecting unreleased designs. Fashion teams use it for product mockups, texture studies, and rapid iteration on garment renders where consistency between generations counts. It's more technical to access well than a polished consumer app, so many users reach it through third-party interfaces rather than a single official site.
Creative use cases
- Photorealistic product renders
- Fine-tuning on brand assets
- API-based generation pipelines
Free resources for Flux (Black Forest Labs)
All resources →AI privacy settings checklist: turn off what you do not want trained on
The exact menus in ChatGPT, Gemini and Claude that control whether your chats train the model or get kept forever.
Keeping the same face across every frame
The reference-image and repetition techniques that stop your AI model's face drifting between shots.
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.
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.