If you run into any problems feel free to pm me on civitai/discord Hunyuan 720p I2V 1316.72s 73F 688x800 22steps dpmpp_2m simple Hunyuan720pI2V Q6_K gguf (adjust as needed) <a target="_blank" rel="ugc" href="https://huggingface.co/city96/HunyuanVideo-I2V-gguf/tree/main">https://huggingface.co/city96/HunyuanVideo-I2V-gguf/tree/main</a> llava_llama3_vision <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/blob/main/split_files/clip_vision/llava_llama3_vision.safetensors">https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/blob/main/split_files/clip_vision/llava_llama3_vision.safetensors</a> clip_l (renamed to clip_hunyuan) <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/tree/main/split_files/text_encoders">https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/tree/main/split_files/text_encoders</a> hunyuan_video_vae_bf16 <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/tree/main/split_files/vae">https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/tree/main/split_files/vae</a> Python version 3.12.7 Cuda 12.6 Torch 2.6.0+cu126 Triton windows: <a target="_blank" rel="ugc" href="https://github.com/woct0rdho/triton-windows/releases">https://github.com/woct0rdho/triton-windows/releases</a> Once you’ve downloaded the appropriate wheel file for your Python version, proceed to open your command prompt and navigate to the directory where the downloaded file is located. Then, run the following command:Through python_embededpython.exe -m pip install triton-3.2.0-(filename) python.exe -m pip install sageattention==1.0.6 ------------------------------------------------------------------------------------------------------ Wan2.1 562.51s 512x512 uni_pc simple 33F 12step &amp; 8step split works as intended 81F 1018.89s! 81F 573.99s! 8step Split 161F/10s (16fps) 512x512 uni_pc simple 6760.70seconds but it works! (metadata baked png posted) I got buzz to tip, post your creations to the workflow gallery or add the resource to your posts, Have fun! Wan2.1 I2V update published! 49F 512x512 12step(2stage 6+6) Uni_pc Simple Seems like each lora I add +200-400s inference time 33F 700-900s 49F 1000-1500s Wan2.1 480p I2V /unet (Adjust as needed) <a target="_blank" rel="ugc" href="https://huggingface.co/city96/Wan2.1-I2V-14B-480P-gguf/blob/main/wan2.1-i2v-14b-480p-Q6_K.gguf">https://huggingface.co/city96/Wan2.1-I2V-14B-480P-gguf/blob/main/wan2.1-i2v-14b-480p-Q6_K.gguf</a> Clip vision /clip_vision <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/clip_vision/clip_vision_h.safetensors">https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/clip_vision/clip_vision_h.safetensors</a> Vae /vae <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors">https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors</a> Text encoder /clip or /text_encoders <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors">https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors</a> (Optional) Upscale /upscale_models<a target="_blank" rel="ugc" href="https://huggingface.co/lokCX/4x-Ultrasharp/blob/main/4x-UltraSharp.pth">https://huggingface.co/lokCX/4x-Ultrasharp/blob/main/4x-UltraSharp.pth</a> ----------------------------------------------------------------------------------------------------- Skyreels Final barebones+ text weighted Hunyuan Lora compatibility update published 831.61 seconds (NO US) 932.07 seconds (NO US) published vids in showcase Could potentially work on 8GBVRAM or lower if you tinker with virtual_vram_gb on the UnetLoaderGGUFDisTorchMultiGPU custom node (if you have sufficient RAM GB) Stage 1 415.369 Stage 2 315.937 VAE 70.838 total 837.93seconds. Q6+6stepLORA+SmoothLORA+DollyLORA (I have defaulted to DPM++2M\Beta + Smooth LORA always (without for human-centric), AVG runtime: 700-900s 73F No US) Comfyui_MultiGPU = UnetLoaderGGUFDisTorchMultiGPU (image latent batch 4 flux-finetune Q8, replace gguf loader in txt2img workflow) Comfyui_KJNodes = TorchCompileModelHyVideo, Patch Sage Attention KJ, Patch Model Patcher Order (Add nodes&gt;KJNodes&gt;Experimental) ∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨ <a target="_blank" rel="ugc" href="https://huggingface.co/spacepxl/skyreels-i2v-smooth-lora">https://huggingface.co/spacepxl/skyreels-i2v-smooth-lora</a> ∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧ Finetune the virtual_vram_gb to fit your requirements (I suggest looking at the Comfyui cmd for the distorch allocation values that show up after loading the model into SamplerCustom) or use normal Unet Loader (GGUF) with skyreels-hunyuan-I2V-Q?_ 1st load Prompt executed in 1662.22 seconds -587.365 seconds for upscale = 1075 seconds 640x864 73 frames (stable/generation time) Steps: 6-12 (Stage 1 6 steps + Stage 2 6 steps) cfg: 4.0 Sampler: Euler Scheduler: Simple (Original Kijai WF <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/SkyReels-V1-Hunyuan_comfy/blob/main/skyreels_hunyuan_I2V_native_example_01.json">https://huggingface.co/Kijai/SkyReels-V1-Hunyuan_comfy/blob/main/skyreels_hunyuan_I2V_native_example_01.json</a>) Barebones I2V workflow with Upscaler, optimised on 306012GBVRAM + 32GBRAM Make sure you update comfyui, torch &amp; cuda Run the update_comfyui.bat from the update folderGo back to your python_embeded folderClick on the file directory bar at the top, type cmd then hit enterIn cmd type "python.exe -m pip install --upgrade torch torchvision torchaudio --extra-index-url <a target="_blank" rel="ugc" href="https://download.pytorch.org/whl/cu126">https://download.pytorch.org/whl/cu126</a>"<h3 id="may-ruin-older-workflows-ptezvwqf9"> ∨∨ May ruin older workflows ∨∨</h3>Run the other update.bat if it still aint working: update_comfyui_and_python_dependencies.bat<h3 id="may-ruin-older-workflows-clia4vgen">∧∧ May ruin older workflows ∧∧</h3> Workflow Resources: Fast_Hunyuan Lora (models/lora): <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/HunyuanVideo_comfy/blob/main/hyvideo_FastVideo_LoRA-fp8.safetensors">https://huggingface.co/Kijai/HunyuanVideo_comfy/blob/main/hyvideo_FastVideo_LoRA-fp8.safetensors</a>GGUF Model (Switch the models to fit your requirements) (models/unet):<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/SkyReels-V1-Hunyuan_comfy/blob/main/skyreels-hunyuan-I2V-Q6_K.gguf">https://huggingface.co/Kijai/SkyReels-V1-Hunyuan_comfy/blob/main/skyreels-hunyuan-I2V-Q6_K.gguf</a>VAE model (models/vae): <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/HunyuanVideo_comfy/blob/main/hunyuan_video_vae_bf16.safetensors">https://huggingface.co/Kijai/HunyuanVideo_comfy/blob/main/hunyuan_video_vae_bf16.safetensors</a>Clip_l model (I renamed it to clip_hunyuan) (models/clip):<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/blob/main/split_files/text_encoders/clip_l.safetensors">https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/blob/main/split_files/text_encoders/clip_l.safetensors</a>llava_llama3 model (models/clip):<a target="_blank" rel="ugc" href="https://huggingface.co/calcuis/hunyuan-gguf/blob/main/llava_llama3_fp8_scaled.safetensors">https://huggingface.co/calcuis/hunyuan-gguf/blob/main/llava_llama3_fp8_scaled.safetensors</a>Upscale Model (models/upscale_models):<a target="_blank" rel="ugc" href="https://huggingface.co/uwg/upscaler/blob/main/ESRGAN/4x-UltraSharp.pth">https://huggingface.co/uwg/upscaler/blob/main/ESRGAN/4x-UltraSharp.pth</a> Personal Generation Times after 1st load base gen runtimes(2Stage+Vae Decode): 758.173 seconds 704.589 seconds with suggested lora after 1st: 779.494 169F tests after 1st (No Load Test): OOM 121F test after 1st+6stepLORA+smoothLORA (No Load Test): 1st stage 525.14s 1st iteration 729.66s 2nd 736.19s 3rd 645.15s 4th 665.55s 5th 764.12s 6th/Average 2nd stage 81.90s 1st+2nd iteration OOM Instant requeue after oom runs from 2nd stage 6.17s 1st Iteration 113.74s 2nd+3rd 222.92s 4th 327.62s 5th 282.29s 6th/Average VAE 128.309s 97F tests I2V+6stepLora (posted in gallery) (no oom yet) 1123s 1013s

Optimised Hunyuan/Skyreels/Wan 2.1 GGUF I2V + Upscale (Hunyuan LORA Compatible) (3060 12GBVRAM + 32gbRAM)

(Original Kijai WF <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/SkyReels-V1-Hunyuan_comfy/blob/main/skyreels_hunyuan_I2V_native_example_01.json">https://huggingface.co/Kijai/SkyReels-V1-Hunyuan_comfy/blob/main/skyreels_hunyuan_I2V_native_example_01.json</a>)Barebones I2V workflow with Upscaler, optimised for 306012GBVRAM + 32GBRAM (potentially on lower vram) Make sure you update comfyui, torch &amp; cuda

Files with SHA256: 71d98ae98fbe4ffe532053cd5b70846ef44a0ed2c25e472af84eb4b956467b10