
FLORA Academy
Master FLORA. Go beyond the fundamentals to the tools, techniques, models, and workflows behind professional creative work.
EDITOR
TEXT MODELS
IMAGE MODELS
Gemini 2.0 Flash
Topaz
Magnific
Seedream
Flux Dev
GPT-Image (OpenAI)
Nano Banana aka GPT 2.5 Flash Image (Google)
VIDEO MODELS
Nano Banana - GPT 2.5 Flash Image (Google)
High-fidelity image generation and editing (photo-real & stylized) — fast, edit-first workflows.
Quick facts
Modes: Text → Image · Image → Image (editing) · Images → Image.
Default output / size: The aspect ratio of the first image connected.
Aspect ratios: The aspect ratio of the first image connected.
Training / licensing: TBD
What it’s great for
Fast photo edits and stylized generation.
Turning photos into collectible / toy-style renders.
Multi-image fusion and targeted local edits.
Example outputs (3-column)
![]() | ![]() | ![]() |
Figurine-style render | Edited render | Multi-image fusion example |
Copy-and-paste prompts
Portrait photo retouched into collectible 3D figurine on acrylic base, studio lighting, crisp detail
Edit: remove background and add dramatic rim light, maintain subject skin tones, photoreal
Blend two product images into a single shelf display with natural shadows and reflections
Parameters
Name | Type | Default | Notes |
| string | — | Natural-language description (required) |
| string | — | For edits / multi-image fusion |
| select | TBD | TBD |
| select | TBD | TBD |
| seed / integer | — | Optional for repeatability |
Modes (summary)
Mode | Estimated time | Required inputs | Typical use |
Text → Image | 20 seconds |
| Generate images from text |
Image → Image (edit) | 30 seconds |
| Local edits, background replacement |
Images → Image | 30 seconds |
| Multi-image fusion / composites |
Output options
Option | Values / notes |
Aspect ratio | Same ratio as the first image inputted |
Formats | |
Notes | Editing-first features and local edits; output specifics: TBD |
Prompt tips
For edits prefix with “Edit:” and describe pixel-accurate changes.
Use clear style tokens (e.g., “photoreal”, “3D figurine”, “studio lighting”).
Add
seedwhen you need repeatable outputs.


