The Latent Image

Builds image generation machinery from primitives through training, covering Imagen, FLUX, and diffusion models to teach machines to develop pictures from noise.

Explores control and conditioning techniques—strength, structure, appearance, and surgery—that allow precise manipulation of image generation, from denoise strength and ControlNet to inpainting and instruction-editing models.

Explores how to train a LoRA from dataset curation through training mechanics, captions, and optimization dials to create a reusable character or style file.

Explores production-scale image generation through dataflow graphs, workflow serialization, queue management, and the infrastructure patterns that emerge when ComfyUI scales from tool to platform.

Explores video generation as image generation with a time axis, covering spatiotemporal latents, temporal attention, coherence mechanisms, and the directing techniques that distinguish video from text-to-image.

Explores the final layer of generated media: provenance, ownership, rights, signatures, watermarks, and the legal and technical architecture that governs editions and release quality.