Lesson 01
Platform & models
Higgsfield is a complete production studio.
We start from the map of the platform (Soul, Cinema Studio, Popcorn, Canvas) and the roster of video models, from Seedance to Kling and Veo. Then model routing: which engine to pick for each video based on motion, realism, length, references and native audio.
By the end you’ll haveA producer’s view of the whole suite and a cheat sheet for choosing the right model.
Lesson 02
MCP & Supercomputer
Your LLM becomes your production assistant.
With Higgsfield’s MCP server we connect Claude, ChatGPT and Cursor to the platform: the language model writes prompts, picks the engine, generates and manages batches of variants. Then Supercomputer, Higgsfield’s agent that plans, runs and assembles multi-step jobs. Above all, credit economy: a planned budget and no credits wasted, even when an agent is generating.
By the end you’ll haveAn AI assistant connected to Higgsfield and a budget under control.
Lesson 03
Prompt architecture
A prompt isn’t written. It’s directed.
We take apart a high-level prompt: subject, action, setting, camera, lens, light, palette, mood. We speak the language of cinematography (shot size, focal length, aperture, camera movement, blocking), which is what models really understand. Then the iteration method: prompt layering, reference images, negative constraints, seeds and controlled variations.
By the end you’ll haveA prompt architecture you can reuse on any model, today and tomorrow.
Lesson 04
Image generation
Before the camera moves, the look is set.
Text-to-image with the right model: Soul 2.0 and Soul Cinema for fashion and film, Nano Banana Pro for references and text, Seedream for complex prompts, GPT Image for colour and typography. Inside Higgsfield Soul: presets, moodboards trained on your references and Soul HEX to lock the palette. With cinematic cameras we choose body, lens, focal length and aperture.
By the end you’ll haveA visual bible for the project: look, light and palette defined before any video.