ComfyUI

Pros

• +Completely free to use with no limits, no watermarks, and no per image costs when running locally on your own hardware.
• +Visual node editor makes complex multi step pipelines understandable and editable, rather than hiding everything behind a single prompt box.
• +Supports virtually every open source AI model: Stable Diffusion, FLUX, SDXL, SD3, Hunyuan, and more, often within days of a new model release.
• +Massive custom node ecosystem with thousands of community extensions. If you can imagine a feature, someone has probably built a node for it.
• +Full privacy: everything runs locally on your machine. No images are sent to any server unless you choose to use Comfy Cloud.
• +Active, passionate community. Thousands of shared workflows are available online, so you can learn by loading and studying other people's pipelines.

Cons

• −Steep learning curve compared to prompt based tools like Midjourney or DALL-E. You need to understand concepts like samplers, schedulers, and model architectures to get the most out of it.
• −Requires a decent GPU for local use. NVIDIA GPUs with 8GB+ VRAM work well, but older or weaker hardware will struggle with larger models.
• −The interface can feel overwhelming for beginners. A canvas full of connected nodes looks complicated compared to a simple chat box.
• −Custom node quality varies. Some community extensions are well maintained, others may break after updates or conflict with each other.
• −No built in text rendering in images. Unlike ChatGPT or Nano Banana, ComfyUI relies on the underlying model's text capabilities, which are often poor for diffusion models.