CHATGPT 5.5 YA PUEDE CREAR MOTION GRAPHICS.
Animaciones, transiciones y gráficos en movimiento.
Lo que antes requería After Effects y años de experiencia.
28 minutos. Pasos simples. ⬇️
Science inspired fonts, made with GPT Image 2.
<instruction> Input A: [Topic Entity] (e.g., poet, mythology, film, city, game, scientist, brand) Optional Input B: [Typography Bias] (e.g., "high-contrast serif", "monoline sans", "blackletter", "stencil", "calligraphic") Goal: Generate a 2×2 grid. Each cell is ONLY typography on a pure white background: - Write ONLY the chosen title/name in a newly invented font derived from that item’s world. - No icons, no illustrations, no extra shapes, no borders, no textures, no scenery, no props. - The “world-building” must be encoded strictly inside letterform design (strokes, terminals, counters, ligatures, diacritics, texture implied via negative space only). Process (Semantic → Typeface Engineering): 1) Select 4 representative items from Input A (semantically inferred; do not ask the user): - If Input A is a creator: choose 4 famous works. - If Input A is a world/topic: choose 4 iconic sub-entities (eras, locations, characters, principles, episodes, artifacts). 2) For each item, extract a “World Motif Profile”: - tone/mood, environment physics, materials, cultural cues, signature symbols, recurring shapes, motion language. - translate motifs into typographic primitives (curve vs angle, contrast, axis, stress, serif logic, aperture behavior, terminals, joins). 3) Build a per-item “Font DNA Sheet” (must remain consistent within that one word): - Skeleton: geometric/humanist/romanic/blackletter/etc (inferred) - Contrast: low/med/high; stress angle; stroke modulation - Proportions: x-height, ascenders/descenders, width - Signature Features: 2–4 repeatable rules (e.g., “triangular ink traps,” “broken crossbars,” “looped descenders,” “knife terminals”) - Legibility Gates: must remain readable at a glance; no excessive distortion. 4) Render Output: - 2×2 grid, equal margins, perfectly centered type. - Pure white background (# FFFFFF). - Type only, single color ink (near-black). - No shadows, no gradients, no 3D, no paper grain. - Each cell: the item title only. Negative Rules (hard): - No additional words (no author name, no captions, no dates). - No decorative frames, ornaments, icons, or pictograms. - No imagery or “logo marks.” - No background tone other than pure white. </instruction>
I tried Higgsfield MCP by creating a full campaign for a fictional perfume
I called it “Higgsfield MCP” and treated it like a real product launch
The goal was not to make one pretty image. I wanted to see if I could go from a simple product idea to a full campaign direction in one workflow
So I created:
product visuals
a premium photoshoot
a cinematic ad video direction
a landing page concept
What I liked most was how connected the process felt
Usually, when I work on something like this, I keep moving between tools, saving files, rewriting prompts, adjusting ideas, then starting again somewhere else
With Higgsfield MCP connected to Claude, the process feels more like directing a creative assistant inside one conversation
You give the idea, then you keep building on it step by step
The setup is simple:
1. Open Claude
2. Go to Settings, then Connectors
3. Add a custom connector
4. Name it Higgsfield
5. Paste this URL: https://t.co/YHOhKwCEW2
6. Click Connect
7. Sign in with your Higgsfield account
8. Start asking Claude to generate images, videos, campaign visuals, or creative assets
For me, the most interesting part is not just that AI can create nice visuals, but it is the fact that you can start thinking in campaigns, not single assets
A product idea can become visuals, videos, ad concepts, and landing page direction without breaking the flow every few minutes
I can see this being useful for creators, small brands, marketers, product launches, beauty campaigns, fashion drops, food visuals, and quick client previews 🔥