This is a very simple workflow to run Self-Forcing Wan 1.3B + Vace, it only uses a single custom node, which everyone making videos should have: <a target="_blank" rel="ugc" href="https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite">Kosinkadink/ComfyUI-VideoHelperSuite</a>. Everything else is pure comfy core.You'll need to download the model of your choice from here <a target="_blank" rel="ugc" href="https://huggingface.co/lym00/Wan2.1-T2V-1.3B-Self-Forcing-VACE">lym00/Wan2.1-T2V-1.3B-Self-Forcing-VACE · Hugging Face</a>, and put it inside your /path/to/models/diffusion_models folder. This workflow can be used as a very good start for experimenting. You can refer to this <a target="_blank" rel="ugc" href="https://arxiv.org/abs/2503.07598">[2503.07598] VACE: All-in-One Video Creation and Editing </a>for how to use Vace. You don't need to read the paper of course, the information you are interested in is mostly at the top of page 7, which I reproduce in the following:<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c1e81bae-07cd-4a7f-8344-b49a5437e245/width=525/c1e81bae-07cd-4a7f-8344-b49a5437e245.jpeg" />Basically, in the WanVaceToVideo node, you have 3 optional inputs: control_video, control_masks, and reference_image.control_video and control_masks are a little bit misleading. You don't have to provide a full video. You can in fact provide a variety of things to obtain various effects. For example:<ul><li>if you provide a single image, it's basically more or less equivalent to image2video.</li><li>if you provide a sequence of images separated by empty images: img1, black, black, black, img2, black, black, black, img3, etc... then it's equivalent to interpolating all these img, filling the blacks. A special case of this one to make it clear is if you have img1, black, black, ..., black, img2, then it's equivalent to start_img, end_img to video.</li><li>control_masks control where Wan should paint. Basically if wherever the mask is 1, the original image will be kept. So you can for example pad and/or mask an input image, like this:<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4adf08bb-d680-4954-ae21-97844014b0a6/width=525/4adf08bb-d680-4954-ae21-97844014b0a6.jpeg" />and use that image and mask as control_video and control_mask, and you'll basically do a image2video inpaint and outpaint.</li><li>If you input a video in control_video, then you can control where the changes should happen in the same way, using control_mask. You'll need to set one mask per frame in the video.</li><li>if you input an image preprocessed with openpose or a depthmap, you can finely control the movement in the video output.</li></ul>reference_image node is basically an image that you feed to Wan+Vace that serves as a reference point. For example, if you put the image of someone's face here, there's a good chance you'll get a video with that person's face.

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