--- name: higgsfield-assist description: > Use when the user asks about Higgsfield Assist (the built-in GPT-5 copilot), how to use the platform's native AI assistant, credit optimization strategies, plan selection, how to get more from fewer credits, or platform efficiency tips. user-invocable: true metadata: tags: [higgsfield, assist, GPT-5, copilot, credits, pricing, optimization, efficiency] version: 3.1.3 updated: 2026-09-26 parent: higgsfield --- # Higgsfield Assist + Credit Optimization --- ## Higgsfield Assist (GPT-5 Powered Copilot) **Location:** higgsfield.ai/chat Higgsfield Assist is a GPT-5 powered creative copilot built directly into the platform. It's separate from Claude — it lives inside Higgsfield's interface and is trained specifically on Higgsfield's tools, workflows, and generation patterns. ### What Assist Can Do - Generate image prompts optimized for the Soul model - Generate prompts for viral videos in specific styles - Navigate the platform — recommend which tool to use for a goal - Recommend the right effects, apps, or presets for your use case - Answer questions about features and capabilities - Give feedback on scripts, prompts, or creative concepts - Suggest fresh ideas when you're blocked - Help with storyboard planning ### How to Use Assist 1. Click **"Assistant"** in the top Higgsfield header 2. Select the GPT-5 model 3. Ask anything — examples: - "Generate a Soul image prompt in the style of a Helmut Newton editorial" - "What's the best workflow to create a 30-second branded video with consistent characters?" - "Which camera preset works best for a car chase sequence?" - "Help me write a prompt for a product video for a skincare brand, sophisticated tone" 4. Copy the generated prompt → paste into the relevant feature ### When to Use Assist vs Claude with This Skill | Use Assist for | Use this Claude skill for | |----------------|--------------------------| | Quick prompt generation within the platform | Building complex multi-shot workflows | | Platform navigation questions | Structuring long-form projects | | Viral/trend suggestions (platform-current) | Systematic MCSLA prompt construction | | Real-time platform feature questions | Genre recipe templates and troubleshooting | | Rapid iteration inside the Higgsfield UI | Understanding the underlying principles | **Best workflow:** Use this Claude skill to plan and structure → use Higgsfield Assist for final in-platform prompt refinement and quick generation. ### Coming Features in Assist - Generate content (Image, Video, Canvas) directly inside chat - Upload and analyze media files - Large file analysis - Storyboard builder from ideas --- ## Credit Optimization Guide ### Understanding Credits | Plan | Monthly credits | Cost | Best for | |------|----------------|------|----------| | Free | 25 | $0 | Testing only | | Basic | 150 | $6/mo (annual) | Hobby / light use | | Pro | 700 | $27/mo (annual) | Regular creators | | Ultimate | 1,500 | $55/mo (annual) | Daily production | **Commercial rights:** Basic and above. **Watermarks:** Free tier only. **Priority processing:** Pro and above. > Plan names, prices, and credit allowances above are hand-maintained and not > verifiable from the API catalog (last reviewed 2026-07-06, not re-verified > against the live UI) — check higgsfield.ai/pricing before quoting them. ### Credit Cost Tiers (Approximate) *Model roster reviewed against the 2026-07-05 catalog snapshot; tier placements are hand-maintained — verify live before quoting.* **Low cost:** Seedance 2.0 Fast / Mini, standard image generation, Nano Banana 2 Lite **Medium cost:** Kling 2.6 (legacy), Kling 3.0 Turbo, Wan 2.6/2.7 (and 2.5 — not in the API catalog, 2026-09-26 — verify in the live UI), Minimax Hailuo 2.3, standard I2V **High cost:** Kling 3.0 (pro/4K modes), Seedance 2.0 at 1080p/4K, Veo 3 / 3.1, Cinema Studio **Apps:** Vary widely — one-click apps are generally efficient > "Seedance Pro" is a legacy UI label — not in the API catalog (2026-07-05); > its budget slot is now Seedance 2.0 Fast / Mini. Sora 2 is retired — OpenAI shut the Sora 2 API down on 2026-09-24 > and Higgsfield UI availability is unconfirmed; don't recommend it (`../../model-guide.md`). ### Quote From the Ledger, Not From Vibes **Before quoting any credit estimate for multi-shot work, run the generation ledger and cite the numbers:** ```bash python3 ../../scripts/higgsfield_memory.py ratio --credits python3 ../../scripts/higgsfield_memory.py budget --shots ``` - `ratio` gives empirical takes-per-kept per shot type, with the structural-vs-stochastic rejection split (high structural% = rewrite the prompt, don't re-roll; high stochastic% = priced re-roll territory). - `budget` multiplies a planned shot manifest by those ratios → expected generations + credit estimate with a stated confidence level. - **Never budget from a row marked `low-n`** (under 5 logged generations) — the tool flags them; respect the flag. - **If the ledger is empty or thin, say so explicitly** and use the documented default planning ratios — **2–3:1 simple shots, 4–6:1 complex shots — labeled as defaults, not data.** The `budget` command does this labeling automatically; keep the label when you relay the estimate. - Every logged generation sharpens these numbers — the logging workflow is one command (`../higgsfield-recall/SKILL.md` § Log the Generation Result). ### The 5 Most Common Credit Waste Patterns **1. Generating video before perfecting the image** The single biggest waste. If your Hero Frame (base image) isn't right, every animated version will be wrong too. **Fix:** Spend extra time on image generation (low cost) → animate once (higher cost) **2. Long prompts that fight each other** Over-specified prompts create conflicting instructions, forcing multiple regenerations. **Fix:** Under-specialize on elements you don't care about. Specify only what matters. **3. Changing multiple variables between generations** If you change the prompt, the model, AND the camera in one go, you can't learn what fixed what. **Fix:** Change one thing at a time. Systematic iteration is faster than random retries. **4. Using premium tiers (Kling 3.0 pro/4K, Seedance 2.0 4K, Veo 3.1) for simple shots** Premium models for simple single-character, single-camera shots. **Fix:** Reserve premium models for scenes that genuinely need their capabilities. Kling 3.0 Turbo or Kling 2.6 (legacy) handles most character drama at lower cost — and on Kling 3.0, `sound: off` gives a silent video at lower credits (per the live spec). Seedance has the same switch (`generate_audio: false`). **5. Not using Apps for tasks Apps are built for** Face swap, product placement, style transfer — doing these manually via prompt takes more credits than the App designed for that task. **Fix:** Check the Apps library first. If an App covers your use case, use it. --- ### The Hero Frame Efficiency Method This is the single highest-leverage credit optimization technique: ``` Step 1: Generate 5–10 image variations (very low credit cost) → Find the one that's closest to your vision Step 2: Refine that one image with inpainting/editing (low cost) → Get it exactly right Step 3: Animate ONCE from the perfect Hero Frame (medium-high cost) → First animation attempt is already working with a strong foundation ``` **Result:** You spend more on cheap image credits, far less on expensive video credits. The credit math almost always favors this approach. --- ### Model Selection by Budget Scenario **Tight budget (Basic plan — 150 credits):** - Primary model: Seedance 2.0 Fast / Mini (fast, low cost; the old "Seedance Pro" is a legacy UI label — not in the API catalog) - Character shots: Kling 3.0 Turbo (or legacy Kling 2.6) only when quality requires it - Avoid: Kling 3.0 pro/4K modes, Seedance 2.0 at 1080p/4K, Veo 3 / 3.1 - Strategy: Use Apps heavily — they're credit-efficient for their use cases **Mid budget (Pro plan — 700 credits):** - Primary models: Kling 3.0 Turbo, Kling 2.6 (legacy), Wan 2.7, Minimax Hailuo 2.3 (Wan 2.5: not in the API catalog, 2026-09-26 — verify in the live UI) - Reserve Kling 3.0 (pro/4K) / Seedance 2.0 4K for hero shots only (Sora 2 is retired — OpenAI shut its API down 2026-09-24; don't budget for it) - Use Cinema Studio for your two or three most important scenes - Strategy: Iterate in image first, commit in video second **High volume (Ultimate — 1,500 credits):** - Full access to all models - Cinema Studio as primary workflow for quality content - Audio is no longer a one-model feature — Seedance 2.0 / 2.0 Mini / 1.5 Pro generate native audio (`generate_audio`, default on for 2.0), Kling 3.0 and 2.6 have a `sound` switch, Veo 3.1 Lite has `generate_audio`. Pick by scene fit, then toggle audio — don't pick the model for the audio. - Strategy: Invest in Moodboard + Soul ID upfront to avoid style drift --- ### Platform Efficiency Tips **Use presets before writing from scratch** Higgsfield's presets (visual styles, motion presets, Cinema Studio genres) encode a lot of quality that's hard to replicate with text alone. Always start with a preset as a base, then customize. **Check the Community gallery before generating** Before burning credits on a new style or effect you haven't tried, find a community example that uses it. See what actually works before committing. **Use Assist for quick decisions** "Should I use Kling 3.0 or Seedance 2.0 for this?" → ask Assist in 5 seconds rather than generating two test clips. **Save successful prompts** When a generation works well, save the complete prompt immediately. Higgsfield doesn't have a native prompt library — you need your own. A simple text file organized by genre works well. **Chain Apps with video for social content** Generate a base clip with Kling 2.6, then feed it through an App (Transitions, Style Snap, Urban Cuts) for the final social-ready version. Two steps, total cost is still lower than generating a "perfect" clip from scratch. **Batch similar shots together** If you're using the same Soul ID character in 5 different scenes, generate them in the same session. The Hero Frame warm-up time is essentially zero if you're using the same Reference Anchor. --- ### The Platform Learning Path (Credit-Efficient) **Week 1 — Image foundation (Basic plan)** - Master Soul 2.0 + Nano Banana Pro for image generation - Build your first Soul ID character - Create a Moodboard for your project - Target: consistently generating images you're proud of **Week 2 — Simple video (Basic plan)** - I2V with Kling 2.6, single camera control, one scene type - Target: one good 5-second clip you'd actually use **Week 3 — Cinema Studio (Pro plan)** - One Cinema Studio project, 3–5 shots - Learn the Hero Frame + Reference Anchor workflow - Target: a 15–20 second sequence with consistent character **Week 4+ — Full production (Pro or Ultimate)** - Mix Cinema Studio with Apps for efficiency - Add Moodboard + Soul ID for consistent series content - Use Higgsfield Assist for rapid iteration --- ## Related skills - `higgsfield-models` — Detailed model comparison beyond what Assist provides - `higgsfield-prompt` — MCSLA formula for structured prompt building - `higgsfield-apps` — Apps Assist can recommend - `higgsfield-pipeline` — Full production workflows