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Hailuo 2.3 Fast

Hailuo 2.3 Fast

Official

A fast, low-latency image-to-video model preserving motion quality and visual consistency for efficient iteration.

Nodespell AI
AI / Video / Minimax

A fast, low-latency image-to-video model preserving motion quality and visual consistency for efficient iteration.

Overview

MiniMax-Hailuo-2.3-Fast is an optimized variant of the MiniMax-Hailuo-2.3 video generation model family designed specifically for lower latency and faster iteration cycles. It generates video from a single image input combined with a text prompt, producing stylized, visually consistent video sequences that maintain realistic motion dynamics.

Strengths / What it does well

  • Provides a faster generation time compared to the standard MiniMax-Hailuo-2.3 model.
  • Preserves core motion quality and high-fidelity stylization despite reduced latency.
  • Supports video resolutions of 768p and 1080p (with 1080p limited to 6-second videos).
  • Maintains the aspect ratio of the input image for the output video.

Limitations

  • Only supports image-to-video input; text-to-video is not supported.
  • Duration options are limited to either 6 or 10 seconds, with 1080p limited to 6 seconds.
  • Does not support last frame handling or extended duration beyond stated limits.

Improvements over previous versions

Compared to the core MiniMax-Hailuo-2.3 model, this fast variant reduces latency and computational load while preserving essential qualities like motion realism and stylization, facilitating quicker prototyping and iteration in video generation workflows.

Best use cases

  • Rapid prototyping of stylized video sequences from static images.
  • Scenarios requiring consistent visual styling and motion with quick turnaround.
  • Applications needing mid-resolution video outputs with maintained aspect ratio fidelity.
Inputs (2)

Prompt

String

Text prompt for generation

Multi InputMin: 0Max: 100

First Frame Image

String

First frame image for video generation. The output video will have the same aspect ratio as this image.

Min: 0Max: 100
Parameters (4)

Prompt

String

Text prompt for generation

Default:

Duration

Number

Duration of the video in seconds. 10 seconds is only available for 768p resolution.

Default: 6

Resolution

String

Pick between 768p or 1080p resolution. 1080p supports only 6-second duration.

Default: 768p

Prompt Optimizer

Boolean

Use prompt optimizer

Default: true
Outputs (1)

Output

Inferred

Output

Used in Snippets (2)

Short Film From Story Idea
Snippet
# Short Film From Story Idea ## Overview This workflow turns a raw story idea into a structured, AI-assisted short film package. It combines multi-step text generation and visual concept art so you can move from concept to shot-ready pre‑production in a single Nodespell graph. ## What You'll Build - A concise story breakdown with clear cinematic beats. - A 10‑shot film shot list derived from your short story. - Deeply refined descriptions for key shots (including shots #5 and #10). - High‑res character and scene reference images for visual development. ## How It Works 1. Your story idea or short story enters through multiple input nodes (23 inputs in total), feeding a complex graph of 52 nodes and 77 connections. 2. Fifteen **Gemini text** nodes, configured with the `gemini-2.5-flash` model (up to 3000 tokens for longer outputs), interpret the narrative, extract key beats, and transform the prose into a filmable structure. 3. Guided by embedded sticky note instructions, the workflow converts the narrative into a ~10‑shot list (e.g., the note that instructs: “Convert the short story into a shot list, roughly 10 shots in length”). 4. Dedicated refinement passes focus on pivotal moments: one set of Gemini text nodes expands shot #5, and another expands shot #10, adding detailed camera, performance, and environment notes suitable for directors and cinematographers. 5. Twelve **Seedream4** image nodes (configured at 2K, 2048×2048, 16:9, single-image output) use prompts such as the full‑body character portrait note to generate high-quality character and keyframe-style visuals. 6. A **hailuo23Fast** text node can provide additional fast drafting or alternate takes, giving you variation on dialogue, action, or pacing. ## Best For - Filmmakers and indie directors turning written ideas into ready-to-shoot plans. - Writers who want to visualize their short stories as films. - Storyboard artists and pre‑production teams needing structured shot lists and references. - Creators prototyping short films, teasers, or proof‑of‑concepts with AI. Try this snippet in Nodespell to turn your next story idea into a ready-to-shoot short film package.
NTNodespell Team
Recent
Fashion Print Design
Snippet
# Fashion Print Design ## Overview This Fashion Print Design workflow turns your fabric motifs and reference photos into production-ready dress visuals and motion previews. It combines multiple image models to apply prints to cotton garments with realistic studio lighting and consistent color. ## What You'll Build - High‑resolution **1:1 garment mockups** with your print applied across the full dress. - 2K **fabric texture tiles** suitable for textile sampling or e‑commerce. - Short **5‑second fashion clips** that showcase the dress and print in motion. - Iterative concept boards that stay aligned to your fashion print moodboard. ## How It Works 1. A moodboard image input (e.g., `fashion_print_moodboard`) anchors the overall style, palette, and motif direction. 2. Multiple **Seedream 4** nodes (25 total, key ones like `seedream9`, `seedream11`, `seedream13`) generate 2048×2048, 2K print swatches and fabric renders at a **1:1 aspect ratio**, optimized for color consistency where Nano Banana struggles with flower tones. 3. **googleNanoBanana** nodes (7 total, JPG output, 1:1) support fast ideation passes, while sticky notes guide prompts such as changing the dress material to match the reference and ensuring the print pattern wraps cleanly across the garment. 4. A dedicated instruction note drives photorealism: applying the print texture to **cotton fabric** under clear, realistic studio lighting. 5. **qwenImageEditPlus** and **qwenImage** refine fit, fabric details, and print placement, while **reveCreate** and `hailuo23Fast` assist with stylistic variations and composition. 6. **kling25ImageToVideo** nodes transform key frames into **5‑second videos** (CFG scale 0.5, negative prompt to avoid blur, distortion, and low quality), giving you animated fashion previews. ## Best For - Fashion and textile designers developing new print collections. - Apparel brands needing fast dress and fabric mockups from reference art. - Surface pattern designers pitching prints to clothing labels. - E‑commerce teams creating on‑model visuals and motion previews without a full photoshoot. - Creative studios prototyping AI‑assisted fashion print design workflows. Try this Fashion Print Design snippet in Nodespell to turn flat print references into polished, motion‑ready fashion visuals in a few guided steps.
NTNodespell Team
Recent
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Type

Node

Status

Official

Package

Nodespell AI

Category

AI / Video / Minimax

Input

TextImage

Output

Video

Keywords

Video GenerationAspect ControlResolution Control
Use in Workflow