Generative AI
Exploring techniques in generative artificial intelligence
Generative AI can be applied to various tasks, including (most common):
Task | Examples |
---|---|
Text to Image | Models: DALL-E, Stable Diffusion, Midjourney; API Providers: OpenAI, Anthropic, Stability AI |
Speech to Text (S2T) | - |
Text to Speech (T2S) | - |
Video Generation | - |
Text to Image
Image generation, a key area in generative AI, often uses diffusion models. These models employ supervised learning to progressively reduce noise in images.
Diffusion Model Process
Stage | Input | Output |
---|---|---|
Training | Noisy image (A) | Less noisy image (B) |
Generation Step | Input | Output |
---|---|---|
1 | Pure noise | Less noisy image |
2 | Less noisy image | Even less noisy image |
3 | Minimally noisy image | Clean picture |
This iterative process gradually transforms random noise into a coherent image based on the text prompt.
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