Model Selection
Learn how to choose models and how model choice changes inputs, settings, and outputs.
Model Selection
Model selection happens inside generative nodes. The selected model controls what the node can do and what settings appear.
Where model selection appears
Model selection is available on:
Image GenerationVideo GenerationAudioMusic Generation
What changes when you switch a model
Changing models can affect:
- supported input types
- required source inputs
- available configuration fields
- cost per run
- estimated generation time
That means model choice is not just a quality preference. It can change how the workflow is wired.
How to choose a model
When picking a model, think about:
- media type you want
- whether you are starting from text or source media
- speed vs quality
- available credits
- provider-specific behavior
Model categories in practice
Image models
Best for:
- still image generation
- image editing
- upscaling
- character or style-driven visual creation
Video models
Best for:
- text-to-video
- image-to-video
- extension and upscale utilities
- advanced provider-specific workflows
Audio and music models
Best for:
- text to speech
- sound effects
- dialogue generation
- music generation
- audio utility tasks
Important rule
Always confirm the selected model matches the inputs already connected to the node.
Examples:
- a text-only model may ignore image inputs
- an image-to-video model may require an uploaded image
- a utility model may require upstream source metadata instead of a plain media file
Best practice
- Pick the model first when starting a new node.
- Then review the fields that appear.
- Then connect the inputs the model expects.
For pricing details, read Credits and Pricing.