
Adobe Firefly
Commercially safe generation inside the Creative Cloud
Our verdict
The safest pick for commercial imagery β especially if you already pay for Photoshop.
Firefly is Adobe's generator, trained on Adobe Stock and licensed content so outputs are pitched as safe for commercial work. Its real strength is integration: generative fill in Photoshop, vector recolour in Illustrator, and text-to-vector in the browser.
How we scored it
What we liked
- βCommercial-use positioning
- βDeep Adobe app integration
- βFree monthly credits
What to watch
- βCredits run out fast on heavy use
- βOutput can look generic
- βFull value needs a Creative Cloud subscription
Key features
- βText to image
- βGenerative fill
- βText to vector
- βStructure reference
- βStyle reference
- βGenerative remove
Best for
Alternatives to Adobe Firefly

Midjourney
Atmospheric AI art from the generator digital artists love most
Midjourney remains the benchmark for sheer image beauty: painterly light, coherent compositions and a house style that flatters almost any prompt. Generation happens in Discord or on the web, and there is no official API β it is a tool for making images, not a platform to build on.

FLUX
Photoreal open-weights models from the original Stable Diffusion team
FLUX.1 from Black Forest Labs closed much of the gap to Midjourney: sharp detail, dependable hands and strong prompt adherence. The [schnell] variant is open for commercial use, while [dev] carries a non-commercial licence you need to read before shipping anything.

DALLΒ·E
OpenAI's image generator, built right into ChatGPT
DALLΒ·E 3 generates from plain conversational prompts and lives inside ChatGPT, so you refine images by talking to it rather than fighting prompt syntax. It is less stylistically distinctive than Midjourney, but excellent at literal, instruction-following images.

Stable Diffusion
The open-source image model you can run and shape yourself
Stable Diffusion is the open-weights family behind most self-hosted image generation: run it on your own GPU, fine-tune a LoRA on your own data, and pick from thousands of community models and interfaces. Quality depends heavily on the checkpoint and sampler you choose.
