Generate images/videos/3D assets/audio via Higgsfield AI. Defaults:
GPT Image 2 for image/design/text, Seedance 2.0 for
video, Nano Banana 2/Lite/Pro for character/reference
images, Marketing Studio for ads, Seed Audio 1.0 for audio.
Use when: "generate an image", "make a video", "animate
this photo", "image-to-video", "edit/stylize/remix this
image", "reframe this video", "edit this video from a
sketch", "create a 3D model/GLB", "create a sound effect",
"make music", "text-to-audio", "create an ad", "make a UGC
video", "unboxing", "presenter video", "import product from
URL", or "analyze video virality". Supports generic generation,
workflows, Marketing Studio, and Virality Predictor.
Chain with higgsfield-soul-id for face/identity consistency.
NOT for: Soul training, brand systems/brandbooks (use
higgsfield-brandkit), photoshoots, cards, YouTube thumbnails
(use higgsfield-youtube-thumbnail), explainers (use
higgsfield-video-explainer), playable games/assets (use
higgsfield-game-generation), or TTS.
Generate images/videos/3D assets/audio via Higgsfield AI. Defaults:
GPT Image 2 for image/design/text, Seedance 2.0 for
video, Nano Banana 2/Lite/Pro for character/reference
images, Marketing Studio for ads, Seed Audio 1.0 for audio.
Use when: "generate an image", "make a video", "animate
this photo", "image-to-video", "edit/stylize/remix this
image", "reframe this video", "edit this video from a
sketch", "create a 3D model/GLB", "create a sound effect",
"make music", "text-to-audio", "create an ad", "make a UGC
video", "unboxing", "presenter video", "import product from
URL", or "analyze video virality". Supports generic generation,
workflows, Marketing Studio, and Virality Predictor.
Chain with higgsfield-soul-id for face/identity consistency.
NOT for: Soul training, brand systems/brandbooks (use
higgsfield-brandkit), photoshoots, cards, YouTube thumbnails
(use higgsfield-youtube-thumbnail), explainers (use
higgsfield-video-explainer), playable games/assets (use
higgsfield-game-generation), or TTS.
Submit jobs to any Higgsfield model. Wraps the higgsfield CLI. Covers generic image/video/3D/audio generation, Marketing Studio (branded ads, avatars, products, hooks, settings), and, secondarily, Virality Predictor video scoring.
Step 0 — Bootstrap
Before any other command:
If higgsfield is not on $PATH, install it:
curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh
If higgsfield account status fails with Session expired / Not authenticated, ask the user to run higgsfield auth login (interactive) and wait for confirmation.
UX Rules
Be concise. No raw IDs, no JSON dumps in chat. Print the media URL for generated assets, or the text summary for Virality Predictor.
No internal jargon. Don't narrate "calling higgsfield cost", "polling job".
Detect the user's language from the first message and reply in it. Technical args (--aspect_ratio 16:9) stay English.
Don't batch-ask. Pick a sane default model and ask one thing at a time only if genuinely missing.
Don't pre-estimate cost or optimize for cheaper models unless the user asks. Prefer the quality default first.
Pass --wait to generate create so the command blocks until done and prints the result URL itself. Avoid the two-step create → wait pattern.
Discovery guardrail
When looking for a Higgsfield feature/model, do not rely only on semantic search or CLI --help. First run an unfiltered model list, then inspect likely job_set_type names. If the user says a model exists but search returns no results, trust that signal and verify with the full model list before answering.
Workflows are separate from models. Discover them with higgsfield workflow list and inspect params with higgsfield workflow get <workflow_name>.
Virality Predictor is exposed as:
Customer-facing name: Virality Predictor
Technical job_set_type: brain_activity
Category/output: text report. This is video-in/text-out analysis, not a text/chat generation model.
Input: uploaded video
Purpose: finished-video hook, attention, retention, and virality analysis
If the user says "analyze this video", "score this ad", "evaluate the hook", or similar, route to brain_activity even though it appears under text/analysis models. Classify by task intent and required input, not by output category alone.
Workflow — generic generation
Pick a model. Start with the core defaults unless the brief clearly needs a specialist:
GPT Image 2 → default image model for high-fidelity general generation, graphic design, UI, banners, typography, and on-image text.
Seedance 2.0 → default video model for serious motion, cinematic clips, multi-shot work, image-to-video, and 4–15s production-quality output up to 4K. 12s is valid.
Nano Banana 2/Lite/Pro → default for character, cartoon, stylized, and reference-driven image work; use Lite for speed/cost, Pro for harder briefs.
Marketing Studio → default for ads, UGC, product demos, unboxing, TV spots, presenter videos, and brand/product workflows.
Seed Audio 1.0 → default audio model for text-to-audio, voice, sound effects, ambience, foley, and music-like audio unless the user names Sonilo/Mirelo.
Image:
Complete brand identity, logo system, palette, typography, brandbook, packaging system, signage, or coordinated branded asset suite → use higgsfield-brandkit instead.
YouTube thumbnail, Shorts cover, or Instagram video cover → use higgsfield-youtube-thumbnail instead.
Brand product visual (Pinterest pin, lifestyle, hero banner, ad pack, virtual try-on) → use higgsfield-product-photoshoot instead. NOT this skill.
Generated product concept / packaging / can / bottle with brand name or label text → GPT Image 2.
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
Logo, icon, vector-like illustration, brand mark, controlled-palette graphic → Recraft V4.1 (recraft_v4_1, often with --model_type vector)
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
Character or cartoon-style work → Nano Banana 2; use Nano Banana 2 Lite (nano_banana_2_lite) for fast/simple reference edits, step up to Nano Banana Pro on hard cases
Fast and cheap iteration → Z Image
Default for everything else → GPT Image 2. Graphic design, UI, banners, typography, and high-fidelity general generation.
Video:
Complete narrated explainer from a topic, story, or document → use higgsfield-video-explainer, not generic video generation.
All advertising / commercial / branded ad video → Marketing Studio (see Marketing Studio below)
Edit existing video from sketch/timestamp, or reframe to another aspect ratio → workflow (draw_to_video or reframe), not a model. See references/workflows.md.
Default all-purpose serious video (multi-shot, consistent identity, motion-heavy, image-to-video, 4–15s requests) → Seedance 2.0. SOTA. Do not downgrade to Seedance 1.5 just because its duration enum is easier to read; validate Seedance 2.0 first.
Single-plane scene without strong dynamics, cheaper than Seedance 2.0 → Kling 3.0; if the user explicitly asks for Turbo, faster, or lower-cost Kling output → Kling 3.0 Turbo (kling3_0_turbo)
Cheap clean shot without cuts, only when the user asks for cheaper/budget output → 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
Bold/stylized image-to-video from a required start image → Grok Video 1.5 (grok_video_v15). Requires one --start-image or --image, duration 2–15s, resolution 480p or 720p.
Multimodal reference-to-video with up to 7 images or one video reference → Gemini Omni Flash (gemini_omni); keep Seedance 2.0 as the default serious-video pick.
Reference-driven generation, editing an existing video, or extending one → Seedance 2.5 (seedance_2_5), whose modes are t2v / omni_reference / video_edit / video_extension and which takes image/video/audio reference arrays. It is NOT a newer Seedance 2.0: it caps at 720p, so anything needing 1080p or 4K stays on Seedance 2.0.
Video analysis:
Rate a finished video's hook, virality potential, attention, retention, or distraction risk → Virality Predictor (brain_activity). This is a video analysis model that returns a text score/report, not a generated media asset.
3D:
A 3D asset within a playable game or game-wide asset system → use higgsfield-game-generation.
Create an actual 3D mesh/model/GLB from one or more object/product reference images → Multi-Image to 3D (multi_image_to_3d). Pass 1–4 images with repeated --image; use --should_texture true when the asset needs texture. If the user only asks for a 3D-rendered picture, use an image model instead.
Audio:
Default for audio generation → Seed Audio 1.0 (seed_audio). Use for text-to-audio, sound effects, ambience, foley, impacts, environmental audio, voice-style generations, and music-like audio. It requires --prompt; use optional --audio-references/--image-references only when the user provides references.
Use Sonilo Music (sonilo_music) only when the user explicitly asks for Sonilo or you need that specialist music model. It requires --prompt and --duration, and returns audio.
Use Mirelo Text to Audio (mirelo_text_to_audio) only when the user explicitly asks for Mirelo or you need that legacy SFX model. It requires --prompt and --duration, and returns audio.
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.
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 media roles or *_references params — see references/media-inputs.md.
Validate quickly. If unsure of params, run higgsfield model get <jst> --json once and pass only what's needed. Validate the preferred model before falling back to an older one. 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.
Submit and wait in one shot.higgsfield generate create <jst> [--prompt "..."] [media flags] [param flags] --wait. Blocks until terminal status and prints the result on stdout. Tunables: --wait-timeout 20m (default 10m), --wait-interval 5s (default 3s). Virality Predictor does not need a prompt; pass --video.
Deliver. For generated media and 3D assets, send the primary result URL plus a one-line summary (model, duration if video; GLB/asset URL for 3D). For Virality Predictor, deliver the scores, business interpretation, and the Open report link. Do not surface Virality Predictor .glb, .bin, or region-table internals in normal chat output.
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.
For workflow jobs, use higgsfield generate workflow <workflow_name> ... --wait. Cost syntax is higgsfield generate cost workflow <workflow_name> .... See references/workflows.md.
Media flags
Flag
Purpose
Models that accept it
--image <path-or-id>
reference image
most image models, grok_video_v15, multi_image_to_3d, seedance_2_0, seedance_2_5, veo3, marketing_studio_video
seedance_2_0, seedance_2_5 (use this, NOT --generate-audio)
For reference-array models, the explicit flags are --image-references, --video-references, and --audio-references; --image, --video, and --audio are short aliases when the schema exposes those params.
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 media roles or *_references params. See references/media-inputs.md for the full table.
Common params
Flags pass through to model schema. Use higgsfield model get <jst> to discover.
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. Virality Predictor stores raw analysis and render artifacts in the job params, but the default text output should stay to scores plus Open report.
Soul image quality: for text2image_soul_v2 and soul_cinematic, pass --quality 1.5k or --quality 2k. These are UI-facing tiers; the backend maps them to 720p/1080p and model-specific dimensions from the selected --aspect_ratio. soul_location has no quality selector; it uses fixed dimensions per aspect ratio.
Marketing Studio
Branded image/video gen: avatars + products + optional setup hooks/settings + 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). For UGC modes, an avatar is optional if the brief clearly mentions a person; the backend can create a Soul Character automatically. Pass an avatar when the user wants a specific presenter.
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.
Hook — reusable opening angle / ad hook. Browse with higgsfield marketing-studio hooks list. Hook text is prepended to the user's prompt; it does not replace --prompt.
Setting — reusable environment / scene context. Browse with higgsfield marketing-studio settings list.
Ad reference — reusable inspiration video that can be bound to an avatar and/or product. Created from an uploaded video (--video-input <upload_id>) or a previous generation job (--job <job_id>). Browse with higgsfield marketing-studio ad-references list. See references/marketing-ad-references.md.
Brand kit — captures a brand's identity (name, logo, hero images, colours, fonts, tone) for reuse across image generations. Created by handing in a website URL (higgsfield marketing-studio brand-kits fetch --url https://… --wait). See references/marketing-brand-kits.md.
Ad format — presets that drives the visual structure of a generated image (headline, bullet-points, etc.). Read-only, browse with higgsfield marketing-studio ad-formats list. Required input for dtc-ads generate.
Discovery commands
Use these exact list commands when the user asks what already exists:
higgsfield marketing-studio avatars list --json
higgsfield marketing-studio products list --json
higgsfield marketing-studio hooks list --json
higgsfield marketing-studio settings list --json
higgsfield marketing-studio ad-references list --json
higgsfield marketing-studio brand-kits list --json
higgsfield marketing-studio ad-formats list --json
--hook_id and --setting_id are supported by marketing_studio_video only; do not pass them to marketing_studio_image.
UX rules (additional)
One question per phase. Don't ask product+avatar+mode upfront.
Two ad approaches are mutually exclusive. Either the user gives an ad reference video (reference-driven) or picks hook/setting blocks (composed-from-blocks) — never both. If the user has an ad reference selected, do not offer hook/setting; if hook/setting are picked, do not offer to attach an ad reference.
Ad reference source. The only valid inputs are a local video file (uploaded via higgsfield upload create ... --video) or a prior video job. If the user provides anything else, ask for a local file.
dtc-ads ad format is mandatory. Always ask the user to pick from ad-formats list. There is no auto-default — both the CLI and server reject calls without --format-id.
dtc-ads optional inputs. Suggest avatars, products, and reference media when the brief calls for them; only attach what the user picks.
Workflow — quick ad video
Get product.
Existing product → higgsfield marketing-studio products list --json
Local images → higgsfield upload create <photo>... then higgsfield marketing-studio products create --title "..." --image <id>...
Capture product id. When using --hook_id, strongly prefer passing --product_ids; hooks are designed to pivot into a product and work poorly without product context.
Pick avatar if needed.
Default: higgsfield marketing-studio avatars list and pick a preset matching the brand voice.
Custom: higgsfield marketing-studio avatars create --name "..." --image <upload_id>.
For UGC modes, you may omit --avatars when no specific presenter is required and the brief mentions a person; the backend can synthesize a Soul Character.
Optionally pick setup items.
Hook: higgsfield marketing-studio hooks list --json
Setting: higgsfield marketing-studio settings list --json
Pass selected IDs as --hook_id <hook_id> and --setting_id <setting_id> for marketing_studio_video only. Do not copy the hook's prompt into --prompt unless the user explicitly wants to reinforce the same wording.
Pick mode if needed. Default is ugc; --mode is not required just because --hook_id is present. Other current slugs: ugc_how_to, ugc_unboxing, product_showcase, product_review, tv_spot, wild_card, ugc_virtual_try_on, virtual_try_on. Hook/setting are valid only for ugc, ugc_how_to, ugc_unboxing, product_review, ugc_virtual_try_on — do not pass --hook_id / --setting_id with the other modes. See references/marketing-modes.md.
Add --hook_id <hook_id> and/or --setting_id <setting_id> when a setup hook/setting was selected.
product_ids and avatars are JSON arrays; pass them via @/path/to/file.json. Do not pass a bare UUID to --product_ids.
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.
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:
# 1. Trigger fetch (returns the product id, import runs in the background)
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:
Use Virality Predictor (brain_activity) when the user wants to evaluate a finished video as a business creative: hook strength, virality potential, attention, retention, or how well the content/product holds focus and minimizes distraction. Treat "Virality Predictor" as the customer-facing feature name; brain_activity is only the CLI/job_set_type.
The result is text, not a generated image/video. Report the overall score, peak hook second, sustain score, strongest/weakest regions, and report URL if present. Interpret it as an objective attention proxy for creative testing: higher Visual/Auditory/Language/Attention scores suggest stronger stimulus and focus; lower Default Mode is better because it suggests less mind-wandering.
The CLI prints an Open report URL like https://<app-domain>/apps/virality-predictor?resultJobId=<job_id>. Send that URL for the visual report. Raw artifact URLs such as brain_example_url, vertexMapBinaryUrl, and vertexMapUrl are implementation details; mention them only when the user asks for raw data or implementation details.
Good final shape:
Overall score: 44/100
Peak hook: 49% at 1s
Sustain: 89%
Strongest region: Visual Cortex
Risk: Default Mode is high, which can indicate mind-wandering.
Open report: <report_url>
Errors
Missing required params: prompt → user gave no prompt; ask for it.
Missing required params: medias on brain_activity / Virality Predictor → pass exactly one video via --video <path-or-id>.
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>. If this happens for hook_id or setting_id, the selected model/job_set_type does not support Marketing Studio setup items.
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/workflows.md — draw_to_video and reframe workflow generation
references/prompt-engineering.md — writing prompts that work
references/media-inputs.md — image/video/audio reference flows and Virality Predictor video analysis
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-setup-items.md — hooks/settings discovery and usage
references/marketing-ad-references.md — ad reference videos (create/list/get)
references/marketing-brand-kits.md — brand kits (fetch from URL, list, get)
