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LTX-2.5 First-Last-Frame Seed Hunt Workflow – FLF2V Preview-to-Upscale

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LTX-2_5_FLF2V_Seed_Hunt_0.3MP_to_1.2MP.json

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Type
ComfyUI Workflows
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32

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Published

Aug 23, 2026

Base Model

LTXV 2.5

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AutoV2
BE9CC228D3
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LTX Video 2.5 and its derivatives, including LoRAs and fine-tunes, are licensed by Lightricks Ltd. under the LTX-2.x Community License Agreement and must be redistributed under that same agreement, with a copy included. Use is subject to the use restrictions in its Attachment A. Entities with annual revenues of at least $10,000,000 must obtain a paid commercial license from Lightricks before any commercial use.

Screenshot 2026-08-23 224939.png

# LTX-2.5 First-Last-Frame Seed Hunt Workflow

A ComfyUI workflow for **FLF2V seed hunting** on LTX-2.5 distilled (22B), pinning start and end frames while previewing at 0.3 MP before upscaling to 1.2 MP.

## How it works

**STEP 1 – Seed Hunt (4 previews)**

- Load a **first frame** (start image) and **last frame** (end image)

- Queue four times with different noise seeds; each produces an 8-step video at 0.3 MP (736×416)

- Stage 1 anchors both endpoints at strength 0.7, so they guide but don't lock the content

- Preview time: ~40–50 seconds per seed

- Compare transitions without upscale overhead

**STEP 2 – Final Render (chosen seed)**

- Copy the winning seed into the red **CHOSEN SEED** node

- Un-mute **SAVE FINAL**, mute the green seed-hunt group

- Stage 1 re-runs at 0.3 MP, stage 2 upscales the latent ×2, re-anchors both frames at strength 1.0 (for sharpness), and runs 3 refinement steps → **1472×832 (1.22 MP)**

## Key features

- **Shared conditioning + guides** — both endpoints and their strengths are set once, reused by all four previews

- **KJNodes Set/Get wiring** — clean routing; rename a Set and every Get follows

- **No prompt enhancer** — prompt feed is direct

- **Frame-aware preprocessing** — both start and end images resize to the hunt resolution before encoding

- **Two-level guide strength** — stage 1 uses 0.7 (soft anchoring), stage 2 uses 1.0 (sharp re-inject on the upscaled latent)

## What you need

- LTX-2.5 distilled checkpoint ltx-2.5-22b-distilled-transformer-bf16.safetensors)

- Video VAE ltx-2.5-video-vae-bf16.safetensors)

- Audio VAE ltx-2.5-audio-vae-bf16.safetensors)

- Spatial upscaler ltx-2.3-spatial-upscaler-x2-1.1.safetensors)

- Text encoder CLIP gemma4-12b-with-proj-ltx-2.5-bf16.safetensors)

- ComfyUI node pack: **comfyui-kjnodes** (for Set/Get nodes)

## Tips

- **Start and end frames should share aspect ratio** — the first frame's resize defines the empty latent dimensions

- **Keep duration at 5s or less** — FLF2V works best as a constrained reframe; longer clips invite the model to invent content in the middle

- **Add No dialogue to your prompt if there are faces** — LTX-2.5's audio branch animates lips when mouths are in frame, which breaks the anchor frames

- **Try 6–8 seeds** if the transition feels off in all four previews (e.g., pulls back too early)

- If all previews show the same failure, tweak the prompt add "the transition happens immediately", add "the camera holds the close shot for the first second") and hunt again

Best for: smooth reframes between two fixed keyframes, where prompt and timing matter and the detail pass can use a stage-2 refine.