higgsfield-generate

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Translated

Generate images and videos via Higgsfield AI through 30+ models including Nano Banana 2, Soul V2, Veo 3.1, Kling 3.0, Seedance 2.0, Flux 2, GPT Image 2, plus Marketing Studio for branded ad video/image with curated avatars and imported products. Use when: "generate an image", "make a picture", "create artwork", "make a video", "animate this photo", "image-to-video", "img2vid", "edit this image with AI", "stylize a photo", "remix this image", "produce a clip", "render a scene", "create an ad", "make a UGC video", "generate marketing video", "make a product demo", "create unboxing", "TV spot", "virtual try-on", "product showcase", "brand video", "presenter video for product", "import product from URL", "create avatar for ad". Supports text-to-image, image-to-image, image-to-video, reference-based generation, and Marketing Studio (avatars + products + ad modes). Auto-detects whether passed IDs are uploads or previous jobs. Chain with higgsfield-soul-id when the user wants their face in the output. NOT for: training Soul Character (use higgsfield-soul-id), professional product photoshoots with mode-specific prompt enhancement (use higgsfield-product-photoshoot), text-only / chat / TTS tasks.

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Sourcehiggsfield-ai/skills
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NPX Install

npx skill4agent add higgsfield-ai/skills higgsfield-generate

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Translated version includes tags in frontmatter
higgsfield-aiimage-generationvideo-generationmarketing-studioai-generative-tools

SKILL.md Content

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Higgsfield Generate

Submit jobs to any Higgsfield model. Wraps the 
higgsfield
CLI. Covers generic image/video gen and Marketing Studio (branded ads, avatars, products).

Step 0 — Bootstrap

Before any other command, make sure the CLI is installed and authenticated:
  1. If 
    higgsfield
    is not on 
    $PATH
    , install it:
    bash
    curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh
  2. If 
    higgsfield account status
    fails with 
    Session expired
    / 
    Not authenticated
    , ask the user to run 
    higgsfield auth login
    (interactive, opens a browser) and wait for them to confirm before continuing.
Skip both checks if 
higgsfield account status
already prints account info.

UX Rules

  1. Be concise. No raw IDs, no JSON dumps in chat. Print result URL when ready.
  2. No internal jargon. Don't narrate "calling higgsfield cost", "polling job".
  3. Detect the user's language from the first message and reply in it. Technical args (
    --aspect_ratio 16:9
    ) stay English.
  4. Don't batch-ask. Pick a sane default model and ask one thing at a time only if genuinely missing.
  5. Don't pre-estimate cost. Just submit unless the user asks.
  6. Pass 
    --wait
    to 
    generate create
    so the command blocks until done and prints the result URL itself. Avoid the two-step 
    create
    → 
    wait
    pattern.

Workflow — generic generation

  1. Pick a model. Practical defaults from production use:
    Image:
    • Brand product visual (Pinterest pin, lifestyle, hero banner, ad pack, virtual try-on) → use 
      higgsfield-product-photoshoot
      instead. NOT this skill.
    • Branded ad image with avatar + product (Marketing Studio shape) → Marketing Studio Image (see Marketing Studio below)
    • Aesthetic UGC / fashion editorial / lifestyle character → Soul 2.0
    • Cinematic still frame → Soul Cinema
    • Highly characterful creative persona (text-only, distinctive) → Soul Cast
    • Locations / environments / no-people scenes → Soul Location (best in class)
    • Vector illustrations OR face edit + complex scene swap → Seedream 4.5
    • Soul Character (reference id from 
      higgsfield-soul-id
      ) → Soul 2.0 for stills, Soul Cinema for cinematic
    • Fast and cheap iteration → Z Image
    • Character or cartoon-style work → Nano Banana 2; step up to Nano Banana Pro on hard cases
    • Default for everything else → GPT Image 2. Graphic design, UI, banners, typography, and high-fidelity general generation.
    Video:
    • All advertising / commercial / branded ad video → Marketing Studio (see Marketing Studio below)
    • Default all-purpose serious video (multi-shot, consistent identity, motion-heavy) → Seedance 2.0. SOTA.
    • Single-plane scene without strong dynamics, cheaper than Seedance 2.0 → Kling 3.0
    • Cheap clean shot without cuts → Seedance 1.5 Pro
    • Cinema-grade highest fidelity → Cinema Studio Video 3.0
    • Cheap with strong physics, no audio needed → Minimax Hailuo
    • Fast batch / volume → Veo 3.1 Lite
    For the actual 
    --model
    ID to pass to 
    higgsfield generate create
    , run 
    higgsfield model list --json | jq
    to map display names to IDs. See 
    references/model-catalog.md
    for the full table.
  2. Pass media inputs straight to flags. Media flags accept a local file path or a UUID. CLI auto-uploads paths and auto-detects job vs upload for UUIDs. No need to pre-upload. Each model declares accepted roles (
    image
    , 
    start_image
    , 
    end_image
    , 
    video
    , 
    audio
    ) — see 
    references/media-inputs.md
    .
  3. Validate quickly. If unsure of params, run 
    higgsfield model get <jst> --json
    once and pass only what's needed. Use schema defaults otherwise. The server returns 
    adjustments
    for non-fatal coercions (e.g. 
    aspect_ratio=99:99
    → closest match) and a structured error for invalid declared-param values.
  4. Submit and wait in one shot. 
    higgsfield generate create <jst> --prompt "..." [media flags] [param flags] --wait
    . Blocks until terminal status and prints the result URL on stdout. Tunables: 
    --wait-timeout 20m
    (default 10m), 
    --wait-interval 5s
    (default 3s).
  5. Deliver. Send the URL plus a one-line summary (model, duration if video).
To inspect or rerun later, 
higgsfield generate list --json
and 
higgsfield generate get <id> --json
work for retrospection. 
higgsfield generate wait <id>
is still available if you ever need to rejoin a job started without 
--wait
.

Media flags

FlagUse forModels that accept it
--image <path-or-id>
reference imagemost image models, 
seedance_2_0
, 
veo3
, 
marketing_studio_video
--start-image <path-or-id>
first frame for image-to-video transitions
kling3_0
, 
kling2_6
, 
veo3_1
, 
seedance_2_0
, 
marketing_studio_video
--end-image <path-or-id>
last frame for transitions
kling3_0
, 
seedance_2_0
, 
marketing_studio_video
--video <path-or-id>
reference video
seedance_2_0
--audio <path-or-id>
reference audio (lipsync, soundtrack match)
seedance_2_0
(use this, NOT 
--generate-audio
)
Each flag accepts either a local file path (auto-uploaded) or a UUID (upload id from 
higgsfield upload create
, or a previous job id). Each model declares its own role set via 
MEDIA_ROLES
. See 
references/media-inputs.md
for the full table.

Common params

Flags pass through to model schema. Use 
higgsfield model get <jst>
to discover.
bash
higgsfield generate create gpt_image_2 --prompt "neon city at dusk" --aspect_ratio 16:9 --resolution 2k --wait
higgsfield generate create nano_banana_2 --prompt "anime character concept, expressive pose" --image ./ref.png --wait
higgsfield generate create seedance_2_0 --prompt "camera dollies in" --start-image ./first.png --duration 8 --wait
higgsfield generate create text2image_soul_v2 --prompt "..." --soul-id <soul_ref_id> --wait
For machine-readable output (chained pipelines, agent context), add 
--json
. With 
--wait --json
you get the final job object array. Without 
--wait
, you get the job IDs.
Stdin prompt: 
echo "..." | higgsfield generate create z_image --wait
.

Marketing Studio

Branded image/video gen: avatars + products + ad-style modes. Use models 
marketing_studio_video
and 
marketing_studio_image
.

Concepts

  • Avatar — presenter face. Curated 
    preset
    (browse 
    higgsfield marketing-studio avatars list
    ) or 
    custom
    (uploaded photos via 
    higgsfield marketing-studio avatars create
    ).
  • Product — brand item with title + reference images. Imported from URL (
    higgsfield marketing-studio products fetch --url ...
    ) or created from uploaded images (
    higgsfield marketing-studio products create
    ).
  • Webproduct — App Store / web page version. Auto-routes when fetching App Store URLs.

UX rules (additional)

  • One question per phase. Don't ask product+avatar+mode upfront.

Workflow — quick ad video

  1. Get product.
    • URL → 
      higgsfield marketing-studio products fetch --url <url> --wait
      (polls until import done)
    • Local images → 
      higgsfield upload create <photo>...
      then 
      higgsfield marketing-studio products create --title "..." --image <id>...
      Capture product id.
  2. Pick avatar.
    • Default: 
      higgsfield marketing-studio avatars list
      and pick a preset matching the brand voice.
    • Custom: 
      higgsfield marketing-studio avatars create --name "..." --image <upload_id>
      .
  3. Pick mode. Default 
    ugc
    . Other slugs (canonical from MCP): 
    ugc_how_to
    , 
    ugc_unboxing
    , 
    product_showcase
    , 
    product_review
    , 
    tv_spot
    , 
    wild_card
    , 
    ugc_virtual_try_on
    , 
    virtual_try_on
    . See 
    references/marketing-modes.md
    .
  4. Generate (one-shot).
    bash
    higgsfield generate create marketing_studio_video \
  --prompt "..." \
  --avatars '[{"id":"<avatar_id>","type":"preset"}]' \
  --product_ids '[<product_id>]' \
  --mode ugc \
  --duration 15 \
  --resolution 720p \
  --aspect_ratio 9:16 \
  --wait
    Resolution is 
    480p
    or 
    720p
    . Aspect ratio is one of 
    auto
    /
    21:9
    /
    16:9
    /
    4:3
    /
    1:1
    /
    3:4
    /
    9:16
    . 
    --generate-audio true
    is supported here (unlike 
    seedance_2_0
    ). 
    --wait
    blocks until done; bump 
    --wait-timeout 30m
    for longer ad runs.
  5. Deliver. URL + one-line summary (mode, duration).

Click-to-Ad shortcut (URL-driven)

When the user gives a product URL and wants a marketing video in one go:
bash
# 1. Trigger fetch (returns the product id and starts background scrape)
higgsfield marketing-studio products fetch --url https://shop.example.com/sneakers --wait

# 2. Generate the marketing video against the same URL — backend reuses the entity
higgsfield generate create marketing_studio_video \
  --url https://shop.example.com/sneakers \
  --mode ugc \
  --duration 15 \
  --aspect_ratio 9:16 \
  --wait
Backend dedupes by URL, so repeated runs reuse the existing entity instead of re-fetching.

Workflow — marketing image

Same as above but use 
marketing_studio_image
model:
bash
higgsfield generate create marketing_studio_image \
  --prompt "..." \
  --aspect_ratio 1:1 \
  --resolution 2k \
  --wait

Errors

  • Missing required params: prompt
    → user gave no prompt; ask for it.
  • Invalid values: aspect_ratio=99:99 (allowed: ...)
    → bad enum; pick from allowed.
  • Unknown params: foo
    → schema doesn't accept that flag; check 
    higgsfield model get <jst>
    .
  • Session expired
    → 
    higgsfield auth login
    .
See 
references/troubleshooting.md
for more.

Reference docs

Load on demand:
  • references/model-catalog.md
    — picking the right model for the task
  • references/prompt-engineering.md
    — writing prompts that work
  • references/media-inputs.md
    — image/video reference flows
  • references/troubleshooting.md
    — common errors and fixes
  • references/marketing-avatars.md
    — preset vs custom avatars
  • references/marketing-products.md
    — URL fetch vs manual product create
  • references/marketing-modes.md
    — every Marketing Studio mode