<h1 id="wan2.1-skyreelsv2-vace-workflow-tested-with-moviigen-accvid-causvid-fusionx-loras-(14b-t2v-reference-i2v-extend-and-loop)-2k8w0oqxy">Wan2.1 SkyReelsV2 VACE workflow tested with MoviiGen AccVid CausVid FusionX LoRAs (14B T2V, Reference I2V, Extend &amp; Loop)</h1>This ComfyUI workflow supports:<ul><li>Image-to-Video (I2V) and Loopable Video Extension (V2V) generation using SkyReels-V2-VACE-GGUF</li><li>Using AccVid and CausVid LoRAs with 2 samplers for faster generations</li><li>Using MoviiGen and Rewards LoRAs for better performance</li></ul><h3 id="you-can:-49gjcxbdv">You can:</h3><ul><li>Generate the first video as your starting point</li><li>Extend the video one at a time to gradually build out the full sequence</li><li>Cherry-pick the best segments for your final cut</li><li>Refine prompts step-by-step as the scene or motion evolves</li></ul><hr /><h3 id="components-i768snd06">🔧 Components</h3>🌀 <a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/SkyReels-V2-T2V-14B-720P-VACE-GGUF">SkyReels-V2-VACE-GGUF</a> (by <a target="_blank" rel="ugc" href="https://huggingface.co/wsbagnsv1">wsbagnsv1</a>)<ul><li>Based on Wan2.1, fine-tuned in 720p@24fps videos</li><li>Integrated VACE (All-in-One Video Creation and Editing framework) allows motion control using reference videos (like ControlNet for video)</li><li>Native support in ComfyUI via GGUF format</li><li>Temporal consistency across the full sequence</li></ul><hr /><h3 id="lora-models-8oap0qki6">⚡ LoRA Models</h3>Speed<ul><li>CausVid v2, <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_CausVid_14B_T2V_lora_rank32_v2.safetensors">https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_CausVid_14B_T2V_lora_rank32_v2.safetensors</a></li></ul><ul><li>AccVid, <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_AccVid_T2V_14B_lora_rank32_fp16.safetensors">https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_AccVid_T2V_14B_lora_rank32_fp16.safetensors</a></li></ul>Quality<ul><li>MoviiGen, <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_T2V_14B_MoviiGen_lora_rank32_fp16.safetensors">https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_T2V_14B_MoviiGen_lora_rank32_fp16.safetensors</a></li></ul><ul><li>MPS, <a target="_blank" rel="ugc" href="https://huggingface.co/alibaba-pai/Wan2.1-Fun-Reward-LoRAs/blob/main/Wan2.1-Fun-14B-InP-MPS.safetensors">https://huggingface.co/alibaba-pai/Wan2.1-Fun-Reward-LoRAs/blob/main/Wan2.1-Fun-14B-InP-MPS.safetensors</a></li></ul><ul><li>HPS, <a target="_blank" rel="ugc" href="https://huggingface.co/alibaba-pai/Wan2.1-Fun-Reward-LoRAs/blob/main/Wan2.1-Fun-14B-InP-HPS2.1.safetensors">https://huggingface.co/alibaba-pai/Wan2.1-Fun-Reward-LoRAs/blob/main/Wan2.1-Fun-14B-InP-HPS2.1.safetensors</a></li></ul>All-in-one<ul><li>FusionX, <a target="_blank" rel="ugc" href="https://civarchive.com/models/1678575">https://civarchive.com/models/1678575</a> (T2V for VACE)</li></ul><hr /><h3 id="how-to-use-tuimxnfpw">▶️ How to Use</h3><hr />🖼️ To Generate Video from an Image as First Frame<ol><li>Enable "First Frame" from the muter node</li><li>Upload your input image</li><li>Set generation parameters:<ul><li>Prompts (positive/negative)</li><li>Shift</li><li>Steps</li><li>Seed</li><li>Width / Height</li><li>Length (frame count)</li><li>Sampler</li><li>Scheduler</li></ul></li><li>Click Run</li></ol><hr />🎥 To Extend or Loop an Existing Video<ol><li>Enable "Video Extension" or "Video Loop" option</li><li>Upload or select your input video (via Load Image node, in animated webp format for optimal quality)</li><li>Set extension parameters:<ul><li>Overlap Frame Count</li><li>Extension Frame Count</li><li>Prompts (positive/negative)</li><li>Shift</li><li>Steps</li><li>Seed</li><li>Sampler</li><li>Scheduler</li></ul></li><li>Click Run</li></ol>Number of Frames for Continuation (Adjust as Needed)<ul><li>Overlap Frames: Number of frames carried over from the original animation.<ul><li>Higher values increase temporal consistency and preserve the flow from the previous segment.</li><li>Lower values may result in more abrupt transitions or sudden changes in motion, tempo, or direction.</li></ul></li><li>Extension Frames: Number of new frames to generate beyond the current animation.</li></ul><hr /><h3 id="challenges-and-limitations-hfq09uv0b">⚠️ Challenges and Limitations</h3>The base model is a T2V model, not a true I2V model.The I2V is achieved by feeding a reference image into the VACE node, rather than directly preserving the image.An I2V model typically keeps the input image as the exact first frame.Here, VACE treats the image as loose guidance, not strict visual preservationExamples:<ul><li>If your source image lacks an object, but your prompt includes it, that object might be added to the first frame.</li><li>If the prompt contradicts the image, some original elements may be missing.</li><li>Fine details may degrade over time, especially in extended video generations.</li></ul><hr /><h3 id="references-ugqy8p807">📂 References</h3><ul><li><a target="_blank" rel="ugc" href="https://www.reddit.com/r/StableDiffusion/comments/1kwpq1s/new_skyreelsv2vaceggufs">SkyReels V2 + VACE Overview (Reddit)</a></li><li><a target="_new" rel="ugc" href="https://www.reddit.com/r/StableDiffusion/comments/1ktjx0v/new_moviigen11vaceggufs/">MoviiGen + VACE Overview (Reddit)</a></li><li><a target="_blank" rel="ugc" href="https://www.reddit.com/r/StableDiffusion/comments/1ksxy6m/causvid_wan_img2vid_improved_motion_with_two/">causvid wan img2vid - improved motion with two samplers in series (Reddit)</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/datasets/ali-vilab/VACE-Benchmark/tree/main/assets/examples">VACE Examples (HuggingFace)</a></li><li><a target="_new" rel="ugc" href="https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo_skyreels_diffusion_forcing_extension_example_01.json">SkyReels Diffusion Extension Example (GitHub)</a></li><li><a target="_blank" rel="ugc" href="https://www.reddit.com/r/StableDiffusion/comments/1kqw177/vace_extension_is_the_next_level_beyond_flf2v/">VACE Extension is the next level beyond FLF2V (Reddit)</a></li><li><a target="_blank" rel="ugc" href="https://www.reddit.com/r/StableDiffusion/comments/1ktljys/loop_anything_with_wan21_vace/">Loop Anything with Wan2.1 VACE (Reddit)</a></li></ul><hr /><h2 id="faq-(frequently-asked-questions)-m8s2kjewi">FAQ (Frequently Asked Questions)</h2><h3 id="can-i-run-this-with-16gb-vram-7230oxv49">❓ Can I run this with 16GB VRAM?</h3>Yes. I ran it on an RTX 5060 Ti with 16GB VRAM using the Q6_K GGUF model.With GGUF models, you can choose a version that fits your GPU memory:<ul><li>Q3_X_X (3-bit) for ~8GB VRAM</li><li>Q4_X_X (4-bit) for ~12GB</li><li>Q5–Q6 for ~16GB</li><li>Q8 for ~24GB+</li></ul>👉 Model &amp; hardware info: <a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/SkyReels-V2-T2V-14B-720P-VACE-GGUF">https://huggingface.co/QuantStack/SkyReels-V2-T2V-14B-720P-VACE-GGUF</a><h3 id="why-do-i-get-errors-or-bad-video-clips-jqju9aby7">❓ Why do I get errors or bad video clips?</h3>This workflow is still experimental, so crashes or poor results are common. Here are some tips:<ul><li>OOM (out of memory) error = your GPU doesn’t have enough VRAM</li><li>Use a lower quant model (e.g. Q3 or Q4) to reduce memory usage</li><li>Lower the video resolution or clip length to avoid overload</li><li>If transitions look bad, try adjusting the prompt or other settings</li><li>Generate multiple times, then pick the best clips to stitch together</li></ul><h3 id="why-does-it-give-an-error-with-certain-resolutions-697w4g144">❓ Why does it give an error with certain resolutions?</h3>The "WanVaceToVideo" node only accepts resolutions where both width and height are divisible by 16. If your input resolution doesn’t meet this requirement, you’ll likely run into errors or processing failures.Below are safe resolutions for commonly used aspect ratios, based on standard output heights (320, 368, 480, 544, 640, 720):✅ Recommended Aspect Ratios &amp; Resolutions (All values divisible by 16)<ul><li>🖥 32:9 -&gt; 1136x320</li><li>📽 21:9 -&gt; 752x320, 864×368, 1120×480, 1264×544</li><li>🖼 2:1 -&gt; 640x320, 736×368, 960×480, 1088×544, 1280×640</li><li>📺 16:9 -&gt; 576x320, 656×368, 832×480, 960×544, 1136×640, 1280×720</li><li>🖥 16:10 -&gt; 512x320, 592×368, 768×480, 864×544, 1024×640, 1152×720</li><li>📷 3:2 -&gt; 480x320, 560×368, 720×480, 816×544, 960×640, 1088×720</li><li>🖼 4:3 -&gt; 432x320, 496×368, 640×480, 720×544, 848×640, 960×720</li><li>🖼 5:4 -&gt; 400x320, 464×368, 608×480, 688×544, 800×640, 896×720</li></ul><h3 id="what-should-i-do-if-i-get-a-&quot;request-entity-too-large&quot;-error-when-uploading-an-image-ejpna47hn">❓ What should I do if I get a “Request Entity Too Large” error when uploading an image?</h3>This error typically occurs when the file size exceeds the upload limit. To work around it:<ol><li>Place the WebP file directly into the <code>ComfyUI\input</code> folder.</li><li>In ComfyUI, press Reload (R) to refresh the file list.</li><li>Use the Load Image node to select the file instead of using the “Choose file to upload” option.</li></ol>

Wan2.1 SkyReelsV2 VACE 14B T2V I2V Extend & Loop

v2.0.0<ul><li>Added a new Loopable Video workflow group (based on <a target="_blank" rel="ugc" href="https://openart.ai/workflows/hmSJmHrEODoGRZqkZ0Zi">Loop Anything Workflow</a>).</li><li>Switched to the VACE-integrated SkyReels V2 GGUF model (720p @ 24fps) for smoother transitions (refer <a target="_new" rel="ugc" href="https://www.reddit.com/r/StableDiffusion/comments/1kwpq1s/new_skyreelsv2vaceggufs/?sort=new">Reddit link)</a></li><li>Replaced the LoRA-safe TorchCompileModelWanVideoV2 node (refer <a target="_blank" rel="ugc" href="https://www.reddit.com/r/comfyui/comments/1gdeypo/comment/mw0gvqo/">Reddit link</a>)</li><li>Updated Fast Group Bypasser node to allow easy switching between sub-grouped workflows (i2v, video extension, video looping).</li><li>Separated Combine Video nodes for each workflow group.</li><li>WanVideo Image Resize To Closest Node to resize input image with the valid width and height.</li></ul>

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