Update your ComfyUI to the latest (Github version) =&gt; cd to ComfyUI directory -&gt; terminal -&gt; git pull -&gt; restart ComfyUIThe upscale workflow file contains Wan FlashVSR, which is the fastest but resource-heavy at 10GB VRAM. The Hunyuan SR workflow is time-consuming but VRAM-friendlyLightx2v 4steps LoRA: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2162543">https://civarchive.com/models/2162543</a>Prompt guide: <a target="_blank" rel="ugc" href="https://civarchive.com/articles/22889/hunyuan-15-sudio-prompt-generator-and-guide">https://civarchive.com/articles/22889/hunyuan-15-sudio-prompt-generator-and-guide</a>CFG 1 Steps 30-50 [ with no 4steps LoRA ]<h3 id="workflows-in-the-zip-files-(i2v-and-t2v)-+-download-links-(text-encoders-vae-clip-vision-upscalers)">Workflows in the zip files (i2v &amp; t2v) + download links (text encoders, vae, clip vision, upscalers)</h3><ul><li>Type: Lightweight, open-source video generation model (Diffusion Transformer, 8.3B parameters)</li><li>Capabilities: High-quality text-to-video (T2V) and image-to-video (I2V) synthesis</li><li>Efficiency Features: Selective and Sliding Tile Attention for faster inference on consumer GPUs</li><li>Additional Support: Bilingual prompts, integrated super-resolution to 1080p</li><li>Performance: State-of-the-art visual quality and motion coherence among open-source models</li></ul>These models are redistributed here for the sake of convenience.

HunyuanVideo-1.5 Distill Models

hunyuanvideo15Distill_480pI2vDistilledFP8.safetensors

hunyuanvideo15Distill_480pI2vDistilledFP8_trainingData.zip

480p i2v Distilled FP8

Upscale Workflow

1080p SR Distiiled FP8

720p SR Distilled FP8

480p t2v Distilled FP8

720p i2v Destilled FP8

<h2 id="hunyuan-video-1.5">HUNYUAN VIDEO 1.5</h2>Official Releases (from Tencent, pulled from Comfy-Org's HuggingFace) Maintained and updated here for convenience. Not affiliated with Tencent — just a fan of Hunyuan Video.🎉 Training code for Hunyuan Video 1.5 is now released! LoRA's incoming... Confirmed, Lora training working in musubi-tuner, its a bit picky, but it works. I find that T2V works best with er_sde and beta11, and I2V works best with ipndm and simple/beta11.<hr /><h2 id="text-to-video-models">TEXT TO VIDEO MODELS</h2>• 720p T2V — FP16 — 16GB • 480p T2V — FP16 — 16GB • 480p T2V — FP8 — CFG-Distilled Scaled — 8GB<hr /><h2 id="image-to-video-models">IMAGE TO VIDEO MODELS</h2>• 720p I2V — FP16 — 16GB • 480p I2V — FP16 — 16GB • 480p I2V — FP16 — Step-Distilled — 16GB (added Dec 5) • 480p I2V — FP8 — Step-Distilled Scaled — 8GB (added Dec 5) • 480p I2V — FP8 — CFG-Distilled Scaled — 8GB<hr /><h2 id="upscale-models">UPSCALE MODELS</h2>• 1080p SR — FP16 — Distilled — 16GB<hr /><h2 id="notes">NOTES</h2>• Text-to-Video models can also be used for Image-to-Video. They behave differently from true I2V models, but still work.<hr /><h2 id="tencent-update-log-(summarized)">TENCENT UPDATE LOG (summarized)</h2>Dec 05, 2025 • 480p I2V Step-Distilled model released (8 or 12 steps recommended). • End-to-end generation ~75% faster on RTX 4090 (≈75 seconds per video). • Step-distilled quality remains close to the original. • Optional 4-step mode available for ultra-fast output. • Training code now open-sourced (Muon optimizer). • HunyuanVideo-1.5 available on Hugging Face Diffusers.Nov 27, 2025 • Cache inference support added (deepcache, teacache, taylorcache). • Major speedups.Nov 24, 2025 • Deepcache inference introduced.Nov 20, 2025 • Inference code and model weights released.<hr /><h2 id="lightx2v-compatibility">LightX2V COMPATIBILITY</h2>Tested and WORKING (4 or 8 step generation): • T2V 720p FP16 • T2V 480p FP16 • I2V 720p FP16 • I2V 480p FP16 • I2V 480p FP8 CFG-D Scaled (Distilled)Tested and NOT WORKING (full 50-step generation): • T2V 480p FP8 CFG-D Scaled (Distilled)

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