Real projects rarely use one model only
A practical creator stack often includes planning, reference generation, image development, video generation, and final polishing. The workflow layer is what makes those steps manageable.
Platform category
Creators increasingly need more than one model for a real project. NiftyFlow is built around the workflow layer that connects planning, generation, comparison, and iteration across modalities.
A practical creator stack often includes planning, reference generation, image development, video generation, and final polishing. The workflow layer is what makes those steps manageable.
Using multiple models can create chaos if the prompt chain, asset dependencies, and output decisions are not organized. A canvas gives the work a structure.
Multi-model creation should feel like a system, not a browser tab collection. When the process is visible, iteration becomes faster and handoff becomes easier.
It is a production flow that combines multiple AI steps or models across modalities, such as storyboard planning, image generation, video generation, and output review.
Because real creator work often requires more than one generation step. The challenge is not access to models alone, but coordinating them in a repeatable way.