- Higgsfield Katana video templates are reusable editing directions built around a reference video plus your assets.
- Four preset types: Personalized Edits, Style Transfer, Motion Transfer, and product/social workflows.
- Best practice: one reference video with one clear action plus one consistent subject image.
- Cost control: every rerun or modification can consume additional credits, so refine before regenerating.
- Top pick for beginners: Personalized Edits for product and social media content.
What Are Higgsfield Katana Video Templates?
Higgsfield Katana video templates are structured creative workflows that pair a reference video with your own character, product, or clothing assets. Instead of generating a clip from text alone, a template preserves the movement, camera behavior, pacing, and shot rhythm of a proven video structure while replacing the subject or visual identity. This makes them closer to reusable edit blueprints than static downloads.
The template system draws on Katana's core capabilities, including reference video reconstruction, character and product replacement, motion transfer, style transfer, and conversational follow-up modifications. Each template defines what stays consistent and what changes.
| Template Element | Role in the Workflow |
|---|---|
| Reference video | Guides movement, framing, timing, camera rhythm |
| Character image | Keeps identity, face, hairstyle, styling consistent |
| Product image | Defines shape, color, logo placement, key details |
| Clothing image | Communicates silhouette, material, color, design |
| Edit instructions | State what must change and what must stay |
| Preset direction | Sets the creative goal: personalize, restyle, or transfer motion |
A template defines the whole workflow structure, while a prompt handles one specific change. Start with a template, then refine with focused prompts.
The Four Katana Preset Types Compared
Katana's preset library organizes templates by creative goal. Each preset matches a different relationship between your reference and your intended output.
Personalized Edits
- Category: Subject Adaptation
- Adapts a reference to your character, product, or brand
- Best for product ads and personalized social videos
- Needs a reference video plus clear subject images
Style Transfer
- Category: Visual Transformation
- Keeps structure, changes visual identity and atmosphere
- Best for fashion films and brand visual experiments
- Needs a clear style direction in the prompt
Motion Transfer
- Category: Movement Adaptation
- Carries reference action to a new subject
- Best for action videos and performance clips
- Needs readable reference movement
Product & Social Workflows
- Category: Content Scenario
- Builds short-form content around product or fashion concepts
- Best for social campaigns and short ads
- Needs a concise prompt covering subject, action, style, camera
| Preset | Best For | Key Asset Requirement | Output Style |
|---|---|---|---|
| Personalized Edits | Product ads, social videos | Replacement subject images | Branded variations |
| Style Transfer | Fashion, brand experiments | Clear style direction | Restyled sequences |
| Motion Transfer | Action, performance clips | Target character or product | Movement-led studies |
| Product & Social | Short-form campaigns | Product or wardrobe materials | Vertical social clips |
Choose Personalized Edits when the subject changes, Style Transfer when only the look changes, and Motion Transfer when the performance matters most.
How to Use a Template: Step-by-Step
Follow this workflow to turn a template into a finished video. Each step narrows the creative direction so the generation stays predictable.
Choose a Reference Video
Pick footage with one clear, readable action and camera direction that matches your intended content type, such as an ad, fashion clip, or action sequence. Avoid references with rapid unnecessary cuts.
Upload Your Assets
Add clear character, product, or clothing images that show the intended subject from useful angles. Describe each asset's role so Katana can distinguish the replacement subject from the reference.
Select a Preset Template
Choose Personalized Edits, Style Transfer, Motion Transfer, or a product/social workflow based on what should stay and what should change.
Describe the Changes
State what must remain consistent, such as camera rhythm or main action, and what should change, such as subject, product, palette, or wardrobe.
Generate and Review
Check whether framing, pacing, subject consistency, and product details match your intent before iterating.
Refine with a Follow-Up Edit
Request one focused change at a time and explicitly protect the parts that already work instead of rebuilding from scratch.
Every rerun or modified generation can count as a new request and consume additional credits. Review the displayed consumption before each submission.
Use Cases and Recommended Workflows
Each use case pairs a template type with specific inputs. Use this table to match your goal to the right starting workflow.
| Use Case | Recommended Inputs | Workflow Focus | Expected Output |
|---|---|---|---|
| Product advertisements | Reference with camera movement, product image | Transfer presentation, keep product visible | Social ad concepts |
| Social media shorts | Focused clip with one action, brand image | Strong opening hook, one visual idea | Quick-test vertical clips |
| Fashion content | Pose or walk reference, clothing image | Garment readability, silhouette | Editorial-style clips |
| Character videos | Performance reference, character image | Identity and motion preservation | Character-led scenes |
| Action scenes | Reference with readable action beats | Motion continuity, subject visibility | Previsualization studies |
| Brand assets | Brand-approved media, identity images | Logo, color, and messaging consistency | Reusable campaign directions |
Keep each request focused on a single subject and a single visual idea. Conflicting instructions are a common reason results drift from the reference.
Before You Generate:
- Reference video opens and plays correctly
- Subject images are clear, consistent, and rights-cleared
- Links are accessible without extra login
- Instructions separate keep-list from change-list
- Credit requirement reviewed before submitting
Prompt Patterns for Templates
A strong template prompt separates preservation from replacement. Use these tested structures from the official Katana prompt guidance.
| Prompt Pattern | Template |
|---|---|
| "Use the reference video as the foundation. Replace the main subject with [subject]. Preserve movement, camera direction, and pacing." | Personalized Edits |
| "Replace the product with [product]. Keep shot sequence, camera movement, and timing. Make the product clearly visible." | Product ads |
| "Replace the character with [description]. Preserve the performance. Dress in [wardrobe] with [colors, materials]." | Character videos |
| "Apply a [style] to the reference. Preserve composition and pacing. Change palette to [palette] and lighting to [lighting]." | Style Transfer |
| "Keep camera, pacing, and main action unchanged. Change only [element]." | Follow-up edits |
Make one focused modification per request and explicitly name the elements that must not change. This protects successful results while iterating.
FAQ
Q: What are Higgsfield Katana video templates used for?
They are reusable workflow blueprints that combine a reference video with your own assets to create product ads, fashion clips, social shorts, character videos, and action concepts while preserving the reference's movement and pacing.
Q: Which template should a beginner start with?
Personalized Edits is the most forgiving starting point, because it adapts a proven reference structure to your own subject or product with straightforward asset requirements.
Q: Why doesn't my result match the reference?
Reference transfer weakens with unclear action, inconsistent subject images, or conflicting instructions. Use one readable movement, consistent references, and one change per iteration.
Q: Do retries cost extra credits?
Yes, a retry or revised generation can be treated as a new request and may consume additional credits, so refine inputs before rerunning.