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GLOW-UP aka lazy-WAN-KR (Florence Caption -> WAN2.2 T2I -> WAN2.2 I2V) — v0.8

Simplified to single clip I2V back end, multi clips can be generated from the end frame with multi-WAN-KR WF.

TaskMultiCapabilitiesCaptioning · Image to video · Text to videoFamilyWanVersionRelease 2306246 — GLOW-UP_aka_lazy-WAN-KR_I2fT2I2V_V0.8.jsonEstimated VRAMNot yet characterizedBgrade

Runtime profile

Access
External workflow
Status
Listed
Version
GLOW-UP_aka_lazy-WAN-KR_I2fT2I2V_V0.8.json
Source
Civitai
Updated
Oct 18, 2026

Source description

Simplified to single clip I2V back end, multi clips can be generated from the end frame with multi-WAN-KR WF.

Dropped the Florence/Manual prompt switch. Additional prompt can be added to Florence caption optionally (e.g. action happening, camera movement etc.)

What you need

System memory
64 GiB
Model files
1.5 GiB known subtotal

Remaining hardware or download-size estimates are not available yet.

Requirements

Models

14

Node packs

12

AI-generated commentary

AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.

Purpose

  • Use GLOW-UP aka lazy-WAN-KR to turn an SD1.5 or SDXL image into one video clip: it captions the image with Florence, generates a new WAN2.2 image, and feeds that image into WAN2.2 image-to-video generation. You provide the source image, a WAN T2V target resolution, and optional .

Flow

  • Flow: Florence captioning → WAN2.2 text-to-image generation → WAN2.2 image-to-video generation.

  • Version v0.8 is described as a single-clip I2V back end; additional clips can be generated from the end frame with a multi-WAN-KR workflow.

Inputs and outputs

  • The generated WAN2.2 image feeds the I2V stage, which produces a single video clip.

Setup

  • The WAN2.2 T2V stage additionally needs wan2.2_t2v_low_noise_14B_Q8_0.gguf; the description says WAN2.1 T2V should also work.

  • It is listed as a Workflows item using base model Wan Video 2.2 I2V-A14B, version v0.8.

Dependencies

  • Listed model files: Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors; MiaoshouAI/Florence-2-large-PromptGen-v2.0; Wan2_1_VAE_fp32.safetensors; wan2.2_t2v_low_noise_14B_Q8_0.gguf; gimmvfi_r_arb_lpips_fp32.safetensors; Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1_high;

  • More listed model files: clip_vision_h.safetensors; Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensors; OmniSR_X2_DIV2K.safetensors; umt5_xxl_fp16.safetensors; Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32.safetensors; and Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_

  • Listed node packs: comfyui-kjnodes, rgthree-comfy, comfyui-videohelpersuite, gguf, ComfyUI-GIMM-VFI, comfyui-aspect-ratio-crop-node, SeargeSDXL, comfyui-mxtoolkit, comfyui-custom-scripts, comfyui-florence2, comfyui-easy-use, and ComfyUI-GGUF.

Configuration

  • Choose the WAN T2V target resolution as high as your machine permits, and add optional prompt directions to the Florence caption, such as camera movement or an action.

    Suggestion · not verified

  • To inspect the T2I image before video generation, use the black group bypasser to block the video stage; if the image looks right, unblock GFXCARD_GOES_BRRR.

    Suggestion · not verified

Cautions

  • Before use, verify that these listed files are present: Wan2_1_VAE_fp32.safetensors, gimmvfi_r_arb_lpips_fp32.safetensors, Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1_high_noise_model.safetensors, clip_vision_h.safetensors, and OmniSR_X2_DIV2K.safetensors.

    Suggestion · not verified

  • Also verify the exact node-pack names for ComfyUI-GIMM-VFI, comfyui-aspect-ratio-crop-node, comfyui-florence2, and ComfyUI-GGUF before use.

    Suggestion · not verified

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Sources

1 source
CivitaiPrimaryVersion 2306246
civitai.com/models/2010816

Verified Oct 18

Source excerpts

3 excerpts

Source context: 180 downloads · Type Workflows · Base model Wan Video 2.2 I2V-A14B

Source context: 147 downloads · Type Workflows · Base model Wan Video 2.2 I2V-A14B

Source context: 139 downloads · Type Workflows · Base model Wan Video 2.2 I2V-A14B