Prompting
Negative prompts: what they do, when they help and why Flux does not need them
The negative prompt explained through how classifier-free guidance works: a short list that helps on SD 1.5 and SDXL, the negative embeddings people actually use, why long copy-pasted negatives hurt, and what to do instead on Flux, Qwen and other guidance-distilled models that have no negative at all.
Prompting
Prompt writing basics for AI images: structure, order, weights and the two prompt dialects
How to write a prompt that works on the first try: the subject-scene-style order, why word position matters, the tag dialect of SDXL anime models against the sentence dialect of Flux and Qwen, attention weights, prompt length limits and a checklist for fixing a prompt that is being ignored.
Models
Checkpoint vs LoRA vs embedding vs ControlNet: which file does what
The six kinds of model files you will meet, what each one changes, how big it is, where it goes and when to use it: checkpoints and fine-tunes, LoRAs and their LyCORIS cousins, textual inversion embeddings, ControlNets and IP-Adapters, VAEs and upscalers.
Apps
How to install a LoRA: folders, file checks and first use in ComfyUI, Forge, Automatic1111 and Draw Things
The practical installation walkthrough: where to download a LoRA from, how to check the file hash against the model page, which folder it goes in for every popular UI, how to refresh the list, how to load it the first time, and the three ways to use one on the cloud without installing anything.
Models
Which AI image models to try first, and why: a ranked starting list
Seven models for a first week, chosen for forgiveness rather than hype: one SDXL photo fine-tune, one anime fine-tune, Flux dev, a fast turbo model, an inpainting model, a video model and an upscaler, each with the reason, the memory it needs and the prompt style it expects.
Models
How generative AI image models work: diffusion, latents and text encoders explained simply
The mechanics behind Stable Diffusion, SDXL, Flux and the video models without the maths: what noise has to do with it, why models work in a compressed latent space, what the text encoder and VAE do, what steps and guidance really change, and why training data decides what a model can draw.
Cloud services
Getting started with AI image generation: your first picture in ten minutes
A plain-language start for complete beginners: what a model is, the three ways to run one (web app, chat bot, your own PC), how to write a first prompt, what the settings mean and how to tell a good result from a lucky one.
Models
FLUX.1 Dev: how to prompt it, best settings and creative ideas
A practical guide to FLUX.1 Dev by Black Forest Labs: natural-language prompting, guidance and step settings, LoRA stacking, text rendering and prompt ideas that play to its strengths.