Image generation concepts and tools
7 ordered steps, from DALL-E to GAN.
Imagevideoaudio AIAI providers and models
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Step 1: DALL-E
DALL-E starts the path as a recognizable hosted image model, giving learners a concrete product before the underlying technique.
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Step 2: FLUX
FLUX follows because it introduces a strong modern image model outside the OpenAI-centered mental model.
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Step 3: Stable Diffusion
Stable Diffusion matters next because it anchors the open and highly customizable image-generation ecosystem.
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Step 4: ComfyUI
ComfyUI turns Stable Diffusion from a model name into a workflow builder where generation steps can be inspected and rewired.
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Step 5: Diffusion model
After seeing tools, the learner is ready for the shared generative technique that explains why these systems are related.
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Step 6: Latent space
Latent space belongs here because it explains where diffusion tools manipulate compressed visual meaning rather than raw pixels.
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Step 7: GAN
GAN closes the path as a contrast point, helping learners distinguish older adversarial generation from the diffusion approach.