You want to generate a poster image from a short description. What do you use?
Why C is the answer
An image generation model
Generative image models create new images from a prompt.
In detail
- An image generation model creates images from text.
- Review generated images before you publish them.
Use case
An illustrative scenario, not a real incident.
A designer describes a poster, and an image generation model draws a first version.
See it in different ways
mindmap
root((AI workloads))
Text
Sentiment
Key phrases
Entities
Speech
Recognition
Synthesis
Vision
Classification
Object detection
OCR
Documents
Information extraction
Generative
Text
Imagesflowchart LR S0["Short description"] --> S1["Image generation model"] --> S2["Poster draft"]
Key point: Images from text need an image model.
Why the other options are wrong
- A. A speech to text model
- Speech to text works on audio.
- B. A text classification model that labels the description
- A classifier labels text, and creates nothing.
- D. An embedding model
- An embedding model creates vectors.