# LTX-2.5 Two-Stage Seed Hunt WorkflowA ComfyUI workflow for fast seed hunting on LTX-2.5 distilled (22B), using two-stage generation to preview at 0.3 MP (736×416) before upscaling to 1.2 MP (1472×832).## How it worksSTEP 1 – Seed Hunt (4 previews)- Queue once with four different noise seeds; get four 8-step outputs at 0.3 MP in seconds- Distilled model + low resolution = ~40-50 seconds per preview- Compare composition, motion, and timing without the upscale cost- Change seeds and queue again until you find one you likeSTEP 2 – Final Render (chosen seed)- Copy the winning seed number into the red CHOSEN SEED node- Un-mute SAVE FINAL (Ctrl+M), mute the green seed-hunt group- Stage 1 re-runs that seed at 0.3 MP, stage 2 upscales the latent ×2 and re-samples 3 more steps → 1472×832 (1.22 MP)- Composition and motion carry over faithfully because stage 2 doesn't resample from scratch## Key features- KJNodes Set/Get wiring keeps routing clean — rename a <code>Set_*</code> and every <code>Get_*</code> follows- Shared loaders — models load once, not four times- No prompt enhancer — prompt goes straight to CLIP encode for clarity and speed- Resolution flexibility — adjust width/height on the two primitives; stage 2 doubles both automatically- Supports image-to-video via the <code>bypass_i2v</code> boolean (falses out the input frame for pure T2V)## What you need- LTX-2.5 distilled checkpoint <code>ltx-2.5-22b-distilled-transformer-bf16.safetensors</code>)- Video VAE <code>ltx-2.5-video-vae-bf16.safetensors</code>)- Audio VAE <code>ltx-2.5-audio-vae-bf16.safetensors</code>)- Spatial upscaler <code>ltx-2.3-spatial-upscaler-x2-1.1.safetensors</code>)- Text encoder CLIP <code>gemma4-12b-with-proj-ltx-2.5-bf16.safetensors</code>)- ComfyUI node pack: comfyui-kjnodes (for Set/Get nodes)## Tips- Preview layout is trustworthy — stage 2 upscales the same latent, so seed #1001 produces the exact same composition at both resolutions- Duration and FPS matter — they cascade through the empty latent and frame count automatically- Width/height must be divisible by 32- Try 6–8 seeds before settling on one if the results feel closeBest for: rapid iteration on T2V/I2V prompts where composition matters more than final detail.

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