Baseten or Shutterstock image generator? A Comprehensive Review

Open-source model

Generates images from text

Various styles and objects

Offers ultra-realistic digital art

Governed by CreativeML License

Can generate detailed scenes

Provides example outputs

Generates custom images

Wide range of prompts

Produces different art genres

Image customization via descriptions

Generates multiple versions

Takes emotional words and cues

Considers camera styles and perspectives

Inclusive imagery

Ethically sourced imagery

Generates images from simple nouns and verbs

Advanced text-to-image prompts

Image generation and customization in one platform

User-friendly

Requires detailed text prompts

No feedback mechanism

Inability to alter generated images

Only handles single prompts

Limited style diversity in output

Over-reliance on licensor Baseten

Lack of multi-language support

Limited use for non-creative purposes

No support for languages other than English

Generates only square Images

Limited resolution and file format

Generates images also available for other customers

Loading time for image generation

Unreadable text in generated images

No direct compensation for contributors involved in the process

Limited level of detail integrity

Bloated text-to-image prompts

Irregular model performance.