Higgsfield Food and Beverage Skill
What this skill does
Crafts production-grade food and beverage video prompts and routes them to the best
Higgsfield model to make dishes, drinks, and ingredients look irresistible on screen.
On request, it assembles the full parameter set, surfaces the credit cost, and —
after explicit user confirmation — generates the asset via the opt-in generation
flow. Text-to-video is the default path; image-to-video is conditional on the user
supplying a reference image.
Model routing
Primary and fallback video models
|
seedance_2_0 (primary) |
marketing_studio_video (fallback) |
| Rationale |
Genre control (e.g., drama, epic) for mood-driven food cinematography; supports video and audio references |
Dedicated marketing pipeline; use for ad-optimised output |
| Resolution |
480p, 720p, 1080p (default 720p) |
480p, 720p, 1080p |
| Aspect ratios |
auto, 21:9, 16:9, 4:3, 1:1, 3:4, 9:16 |
auto, 21:9, 16:9, 4:3, 1:1, 3:4, 9:16 |
| Duration |
4–15 s (continuous range) |
4–15 s (continuous range) |
| Extra params |
mode {std, fast}; genre {auto, action, horror, comedy, noir, drama, epic} |
generate_audio bool; optional folder_id, hook_id, setting_id, ad_reference_id |
| Media roles |
image, start_image, end_image, video, audio |
avatars, image, start_image, end_image |
Routing rule: Use seedance_2_0 by default — genre tags such as drama or
epic give the model a mood direction that suits fine-dining and cinematic food
content. Fall back to marketing_studio_video only when (1) the primary model is
unavailable, or (2) the user wants an ad-optimised output with generate_audio or
ad reference inputs. If falling back, inform the user of the switch. Never switch
silently.
MODEL-06 directive: If a parameter is rejected at generation time, call
higgsfield:models_explore with the target model name to re-verify the live schema.
Full parameter tables: references/model-specs.md.
Per-platform aspect ratio
Quick rule: 9:16 for TikTok / Reels / Shorts; 16:9 for YouTube and restaurant
websites; 1:1 for Instagram and Pinterest. Full per-platform table:
references/model-specs.md.
Prompt-building workflow
Gather intent — Confirm: food or beverage type, request category (restaurant
promo, packaged product, recipe/how-to, lifestyle/ASMR), target platform, aspect
ratio, desired duration, and mood tone (intimate, celebratory, dramatic, cozy).
Select model — Apply the routing table above. Choose seedance_2_0 by
default; select marketing_studio_video only when a routing trigger applies.
Build the prompt — Use the craft principles in the references below:
- Opening 2-second hook from references/hooks.md
- Lighting, staging, texture, money-shot techniques from
references/food-styling.md
- Worked example prompts by food category and platform from
references/examples.md
Present for review — Show the assembled prompt and all parameters to the user
for review and refinement before any generation call.
Opt-in generation
Generation costs Higgsfield credits and requires explicit user confirmation before
any generate call is made. This skill never auto-generates.
Full step-by-step flow (confirmation gate, balance/cost surface,
generate → poll → display):
../../shared/generation-flow.md
This skill's primary model: seedance_2_0
Media upload: Conditional — only when the user supplies a start_image,
end_image, or other reference for image-to-video. This skill is NOT a
mandatory-I2V skill; T2V is the default path. When a reference image is provided,
run the higgsfield:media_upload → higgsfield:media_confirm atomic pair first.
Tool signatures: ../../shared/mcp-tools.md
Reference materials
| File |
Contents |
| references/model-specs.md |
Per-model parameter tables, aspect ratios, durations, routing rationale for seedance_2_0 and marketing_studio_video |
| references/food-styling.md |
Lighting playbook, money-shot library, colour palettes by cuisine, food styling tricks, movement and action vocabulary, sound/ASMR layering |
| references/hooks.md |
2-second hook framework with 12 proven food/beverage hooks and prompt phrasing |
| references/examples.md |
Master template + 5 full example prompts (fine dining, café latte art, fast-food burger, cocktail bar, croissant bakery) |
1---2name: higgsfield-food-beverage3description: Crafts production-grade food and beverage video prompts for Higgsfield and routes to the best model (seedance_2_0 primary, marketing_studio_video fallback). Use when the user wants food videos, recipe content, restaurant promos, beverage ads, cooking videos, food ASMR, menu showcases, food delivery ads, café content, or any food/drink video. Handles text-to-video (default) and optional image-to-video with full prompt assembly, model selection, and parameter validation.4---56# Higgsfield Food and Beverage Skill78## What this skill does910Crafts production-grade food and beverage video prompts and routes them to the best11Higgsfield model to make dishes, drinks, and ingredients look irresistible on screen.12On request, it assembles the full parameter set, surfaces the credit cost, and —13after explicit user confirmation — generates the asset via the opt-in generation14flow. Text-to-video is the default path; image-to-video is conditional on the user15supplying a reference image.1617---1819## Model routing2021### Primary and fallback video models2223| | seedance_2_0 (primary) | marketing_studio_video (fallback) |24|---|---|---|25| **Rationale** | Genre control (e.g., `drama`, `epic`) for mood-driven food cinematography; supports video and audio references | Dedicated marketing pipeline; use for ad-optimised output |26| **Resolution** | `480p`, `720p`, `1080p` (default `720p`) | `480p`, `720p`, `1080p` |27| **Aspect ratios** | `auto`, `21:9`, `16:9`, `4:3`, `1:1`, `3:4`, `9:16` | `auto`, `21:9`, `16:9`, `4:3`, `1:1`, `3:4`, `9:16` |28| **Duration** | 4–15 s (continuous range) | 4–15 s (continuous range) |29| **Extra params** | `mode` {`std`, `fast`}; `genre` {`auto`, `action`, `horror`, `comedy`, `noir`, `drama`, `epic`} | `generate_audio` bool; optional `folder_id`, `hook_id`, `setting_id`, `ad_reference_id` |30| **Media roles** | `image`, `start_image`, `end_image`, `video`, `audio` | `avatars`, `image`, `start_image`, `end_image` |3132**Routing rule:** Use `seedance_2_0` by default — genre tags such as `drama` or33`epic` give the model a mood direction that suits fine-dining and cinematic food34content. Fall back to `marketing_studio_video` only when (1) the primary model is35unavailable, or (2) the user wants an ad-optimised output with `generate_audio` or36ad reference inputs. If falling back, inform the user of the switch. Never switch37silently.3839**MODEL-06 directive:** If a parameter is rejected at generation time, call40`higgsfield:models_explore` with the target model name to re-verify the live schema.41Full parameter tables: [references/model-specs.md](references/model-specs.md).4243### Per-platform aspect ratio4445Quick rule: `9:16` for TikTok / Reels / Shorts; `16:9` for YouTube and restaurant46websites; `1:1` for Instagram and Pinterest. Full per-platform table:47[references/model-specs.md](references/model-specs.md).4849---5051## Prompt-building workflow52531. **Gather intent** — Confirm: food or beverage type, request category (restaurant54 promo, packaged product, recipe/how-to, lifestyle/ASMR), target platform, aspect55 ratio, desired duration, and mood tone (intimate, celebratory, dramatic, cozy).56572. **Select model** — Apply the routing table above. Choose `seedance_2_0` by58 default; select `marketing_studio_video` only when a routing trigger applies.59603. **Build the prompt** — Use the craft principles in the references below:61 - Opening 2-second hook from [references/hooks.md](references/hooks.md)62 - Lighting, staging, texture, money-shot techniques from63 [references/food-styling.md](references/food-styling.md)64 - Worked example prompts by food category and platform from65 [references/examples.md](references/examples.md)66674. **Present for review** — Show the assembled prompt and all parameters to the user68 for review and refinement **before** any generation call.6970---7172## Opt-in generation7374Generation costs Higgsfield credits and requires explicit user confirmation before75any generate call is made. This skill never auto-generates.7677**Full step-by-step flow** (confirmation gate, balance/cost surface,78generate → poll → display):79[`../../shared/generation-flow.md`](../../shared/generation-flow.md)8081**This skill's primary model:** `seedance_2_0`8283**Media upload:** Conditional — only when the user supplies a `start_image`,84`end_image`, or other reference for image-to-video. This skill is NOT a85mandatory-I2V skill; T2V is the default path. When a reference image is provided,86run the `higgsfield:media_upload` → `higgsfield:media_confirm` atomic pair first.8788**Tool signatures:** [`../../shared/mcp-tools.md`](../../shared/mcp-tools.md)8990---9192## Reference materials9394| File | Contents |95|---|---|96| [references/model-specs.md](references/model-specs.md) | Per-model parameter tables, aspect ratios, durations, routing rationale for seedance_2_0 and marketing_studio_video |97| [references/food-styling.md](references/food-styling.md) | Lighting playbook, money-shot library, colour palettes by cuisine, food styling tricks, movement and action vocabulary, sound/ASMR layering |98| [references/hooks.md](references/hooks.md) | 2-second hook framework with 12 proven food/beverage hooks and prompt phrasing |99| [references/examples.md](references/examples.md) | Master template + 5 full example prompts (fine dining, café latte art, fast-food burger, cocktail bar, croissant bakery) |