CivArchive
    Kandinsky5 Lite T/I2V – Low VRAM Workflow v1.0 - v1.0
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    🔥 Overview

    This workflow enables stable, coherent image‑to‑video generation using Kandinsky5 Lite I2V, even on GPUs with only 4GB of VRAM (e.g., RTX 3050 Ti mobile). Through targeted optimizations (SAGEAttention, 4‑step LoRA, Hunyuan Video VAE, SD3 sampling, latent normalization), the workflow achieves impressive performance:

    • 5‑second video duration

    • 675×900 resolution

    • 8 steps → ~15 minutes

    • 12 steps → ~27 minutes on first run, ~23 minutes on subsequent runs

    • High visual quality via YUV422p12le (FFV1)

    • Consistent motion, no drift, no temporal artifacts

    This makes Kandinsky5 Lite one of the most efficient video models available for low‑VRAM systems.

    ✨ Key Features

    ✔ Runs on 4GB VRAM GPUs

    The entire model is offloaded to system RAM while maintaining stability and temporal consistency.

    ✔ Optimized Resolution: 675×900

    Balanced resolution that preserves detail while keeping latent sizes manageable.

    ✔ Professional Output Codec

    Videos are exported using FFV1 MKV – YUV422p12le, ideal for editing, grading, and upscaling.

    ✔ Natural Motion & High Coherence

    Achieved through:

    • NormalizeVideoLatentStart

    • ReplaceVideoLatentFrames

    • Kandinsky5ImageToVideo

    • PathchSageAttentionKJ

    • Hunyuan 1.5 4‑step LoRA

    ✔ Advanced Negative Prompt

    Prevents anatomical drift, motion loops, frame duplication, and temporal artifacts.

    📦 Model Components

    From the workflow:

    • UNET: kandinsky5lite_i2v_5s.safetensors

    • VAE: hunyuan_video_vae_bf16.safetensors

    • Text Encoders:

      • qwen_2.5_vl_7b_fp8_scaled.safetensors

      • clip_l.safetensors

    • LoRA: hunyuanvideo1.5_t2v_480p_lightx2v_4step_lora_rank_32_bf16.safetensors

    🧩 Hardware Requirements

    • GPU: 4GB VRAM (tested on RTX 3050 Ti mobile)

    • RAM: 64GB recommended

    • CPU: any CPU capable of heavy RAM offload

    • ComfyUI 0.3.68+

    • KJ Nodes + VideoHelperSuite

    🚀 Real‑World Performance

    8 steps

    • ~15 minutes

    • Good motion stability

    • Ideal for quick tests

    12 steps

    • ~27 minutes (first run)

    • ~23 minutes (subsequent runs)

    • Higher detail

    • More stable motion

    • Cleaner temporal consistency

    📁 Output Specifications

    • Format: MKV

    • Codec: FFV1

    • Color: YUV422p12le

    • FPS: 24

    • Duration: 5 seconds

    • Resolution: 675×900

    Description

    FAQ

    Workflows
    Hunyuan Video

    Details

    Downloads
    138
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/20/2026
    Updated
    9/29/2026
    Deleted
    -

    Files

    kandinsky5LiteTI2VLow_v10.json

    Mirrors

    kandinsky5LiteTI2VLow_v10.json

    Mirrors