Introduction
A Molto Italiana GRWM workflow is an AI video pipeline that produces a vertical get ready with me video in the soft romantic Italian editorial aesthetic, complete with voiceover and ambient score. Total run time from interface form submission to final video is under 15 minutes. This guide shows you the exact seven node Vertex build, the field names for each node, the prompts you need, and a hero image prompt you can run standalone.
What Is the Molto Italiana Aesthetic
The Molto Italiana aesthetic centers on soft natural light, warm terracotta and cream tones, editorial framing, and an unhurried morning ritual mood. Think Milanese apartment, espresso on marble, linen curtains, gold jewelry, a hint of film grain. The tonal reference is Italian Vogue editorial meets slow cinema. Makeup is minimal and glowy. Wardrobe leans cream, camel, and rose tones with one hero piece of gold.
What the Workflow Produces
A 15 to 20 second vertical 9:16 video with a cinematic still of the protagonist, a one shot slow camera push in, a soft female voiceover in Italian or Hinglish, and an ambient acoustic score. Output is ready to post to Instagram Reels or TikTok without additional editing.
Hero Image Prompt You Can Run Today
Run this prompt directly in Flux Kontext, Midjourney v7, or Nano Banana to generate the hero image that accompanies this blog post. The prompt is tuned for a 9:16 vertical composition and can be adapted to 1:1 for feed posts.
A young Italian woman in her late twenties, olive skin, dark wavy shoulder length hair, natural brows, minimal makeup with a hint of rose on the cheeks and lips. She wears a cream silk slip top and delicate gold jewelry. She stands in a sunlit Milanese apartment with tall shuttered windows, white linen curtains catching morning breeze, warm terracotta tiled floor, a small espresso moka pot steaming on a marble counter behind her. Soft golden hour light streams from the left, creating gentle shadows across her face. Shot on 35mm film, Kodak Portra 400 grain, shallow depth of field at f 2.0, warm color grade, cinematic editorial mood, Cinzia Bolognesi photography style. Vertical 9:16 composition, subject centered in the upper third.
Step by Step Vertex Build
The full workflow uses seven nodes connected in a single linear pipeline with one parallel audio branch. Every node below lists its execution mode, field names, and what it connects to. Build these in order on the Vertex canvas.
Node Build Table
The table below lists every node in the workflow with its execution mode and the critical field names and wiring details. Build them in order on the Vertex canvas./
Step | Node Name | Execution Mode/ | Key Fields and Wiring |
|---|---|---|---|
1 | node_interface_form | INTERFACE_FORM | node_type INTERFACE. Outputs: creator_archetype (TEXT), scene_context (TEXT), voiceover_script (TEXT), aspect_ratio (ASPECT_RATIO default NINE_SIXTEEN) |
2 | node_chat_image_prompt | CHAT | Inputs: prompt (TEXT) from interface_form.creator_archetype and scene_context joined. Output: generated_text. Writes full visual prompt for Flux Kontext/ |
3 | node_flux_keyframe | CREATE | Inputs: prompt (TEXT) from node_chat_image_prompt.generated_text, aspect_ratio from interface_form.aspect_ratio. Output: generated_asset (IMAGE) |
4 | node_veo_animate | VIDEO | Inputs: reference_image_1 (IMAGE) from node_flux_keyframe.generated_asset, prompt (TEXT) slow push in dolly 8 seconds, aspect_ratio NINE_SIXTEEN. Output: generated_asset (VIDEO) |
5 | node_elevenlabs_vo | TEXT_TO_SPEECH | Inputs: text_input from interface_form.voiceover_script, voice_id set to warm female Italian voice. Output: generated_audio (SPEECH) |
6 | node_music_bed | MUSIC_GENERATOR | Prompt: slow acoustic guitar with ambient pad 90 BPM warm romantic Italian morning 15 seconds. Output: generated_audio (AUDIO) |
7 | node_final_merge | VIDEO_AUDIO_MERGE | Inputs: video_reference from node_veo_animate.generated_asset, audio_reference from a prior TEXT_JOINER or compose step combining VO and music. Output: merged_video |
Edge Wiring Notes
All edges from the interface form node use type NODE_TO_INTERFACE. All other edges use NODE_TO_NODE. Two key wiring details: the CHAT image prompt node must not wire directly into the Flux node's prompt handle without a TEXT_JOINER if you are combining its output with fixed anchor text. The final audio merge requires a COMPOSE or a staged merge if you want both voiceover and music layered. For the simplest v1 ship with voiceover only and add music in v2.
Flux Kontext Keyframe Prompt
Copy this prompt into the node_flux_keyframe node as the anchor prompt. The CHAT node prepends user specific details from the interface form. Base prompt: young Italian woman in her late twenties, olive skin, natural brows, minimal glowy makeup, cream silk slip top, delicate gold chain, sunlit Milan apartment with shuttered windows and linen curtains, terracotta tiled floor, warm 35mm film grain, soft golden hour light from camera left, shallow depth of field at f 2.0, editorial Italian Vogue mood, vertical 9:16 composition, subject in upper third.
Veo 3.1 Motion Prompt
For the node_veo_animate node use this motion prompt: slow continuous camera push in over eight seconds, subject stays centered, soft breeze moves linen curtains in background, warm film grain remains consistent, no cuts, no zoom burst, single sustained take with gentle camera drift.
FAQ
Can I use this workflow with a different voiceover language?
Yes. Change the voice_id in the TEXT_TO_SPEECH node to a Hinglish, English, or French voice from the ElevenLabs catalog. The script itself can stay in any language.
How much does one run cost in Vertex credits?
A single Molto Italiana run consumes approximately 40 to 60 Vertex credits depending on video length and whether you include music generation.
Can I swap Flux for Midjourney or Nano Banana?
Yes but expect aesthetic drift. Flux Kontext is recommended because its reference fidelity and editorial tone match the Molto Italiana brief best.
