Unleash Creative Video Generation: How to Pack Objects into Gift Boxes with LoRA Effects

CN
ComfyUI.org
2025-04-11 12:11:01

Unlock creative video generation with WAN models and LoRAs. Learn how to pack objects into gift boxes with animated effects and discover the power of AI-driven video creation. Dive in now!

Use Case
Video
Best For
Video
VRAM
Low VRAM (≤8GB)
Reading Time
3 min
View Required ModelsMore Video Workflows

Workflow Overview

Unlock creative video generation with WAN models and LoRAs. Learn how to pack objects into gift boxes with animated effects and discover the power of AI-driven video creation. Dive in now!

Content type: Workflow

Primary intent: Download

Required Models

  • Wan2.1
  • Lora

Setup Notes

  • Install the required models before opening the workflow template.
  • Recommended hardware: Low VRAM (≤8GB).

1. Workflow Overview

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  • Function: Generates animated videos that pack input objects (e.g., dolls) into gift boxes with LoRA effects.

  • Goal: Combine WAN video models and LoRAs for creative video generation.

  • Key Models:

    • WAN2.1-I2V-14B (Base video model, FP8 precision).

    • "Packed into Box" LoRA (Animation effect).

    • UMT5-XXL (Text encoder for prompts).


2. Node Breakdown

Critical Nodes:

  1. WanVideoModelLoader: Loads WAN model (Wan2_1-I2V-14B-480P_fp8_e4m3fn.safetensors).

  2. WanVideoLoraSelect: Applies effect LoRA (e.g., "Packed into Box").

  3. LoadImage: Input static image (e.g., "POPMART-style doll").

  4. WanVideoTextEncode: Encodes prompts (e.g., "Bounce into a gift box").

  5. WanVideoSampler: Generates video frames (sampler: dpm++_sde, 20 steps).

  6. VHS_VideoCombine: Exports MP4 (16fps, H.264).

Dependencies:

  • WAN Models: Download Wan2_1-I2V-14B and Wan2_1_VAE to models/wan_video.

  • LoRA: Place Packed into Box LoRA in models/loras.


3. Workflow Structure

Group Logic:

  1. Model Loading:

    • Input: WAN model, LoRA, VAE.

    • Output: Video generation pipeline.

  2. Input Processing:

    • Input: Image + text prompts.

    • Output: Image/text embeddings.

  3. Video Generation:

    • Input: Embeddings, seed.

    • Output: Latent video frames.

  4. Video Synthesis:

    • Input: Decoded frames.

    • Output: MP4 (480P by default).


4. Inputs & Outputs

Inputs:

  • Required:

    • Static image (e.g., doll photo).

    • Positive prompt (e.g., "Bounce into a gift box").

  • Optional: Seed (randomized), LoRA strength (default 1.0).

Outputs:

  • MP4 video (e.g., WanVideo2_1_T2V.mp4) with gift box animation.


5. Notes

  1. Hardware:

    • ≥16GB VRAM (FP8 requires high-end GPUs).

    • NVIDIA 30/40-series recommended.

  2. Common Issues:

    • Missing models: Check models/wan_video.

    • Choppy video: Reduce FPS (e.g., 12) or resolution.

  3. Optimization:

    • Enable fp8_e4m3fn if supported.

    • Use offload_device to save VRAM.

FAQ