This is a high-quality image-to-video application based on LTX 2.3 Dev-Dare + VBVR Final Edition + 1-to-4 2x2 Grid Splitting + PromptRelay 4-Stage Relay Prompts + Multi-Image Keyframe Guidance + 3-Stage Rendering Polish. Users only need to upload a 2x2 grid reference image, and the system automatically splits it into four keyframes, controlling the video progression in the order of top-left → top-right → bottom-left → bottom-right. Compared to ordinary multi-image start/end frame setups, this version is better suited for "generating a continuous narrative video directly from a single 2x2 grid." Its core advantages are: one image split into four segments, four frames controlling the narrative, VBVR enhancing motion logic, and Dev-Dare boosting overall final video quality.
The enhancements in this version lie in the Dev-Dare base + VBVR motion logic + Crisp image quality enhancement + NAG conditional enhancement. Dev-Dare provides a stronger foundation for video generation, VBVR makes movements more coherent, Crisp enhances visual texture, and NAG provides more stable prompt constraints. Combined with three-stage sampling, keyframe guidance, and Latent Upsampler, it is ideal for character transformations, action progression, AI short-drama storyboarding, start/end frame transitions, four-stage narratives, e-commerce dynamic displays, and high-impact cover videos. When using it, it is recommended to focus on controlling three elements: the 2x2 grid reference image determines visual changes, the global prompt (used to write overall visual rules) determines the general guidelines, and the segmented prompts (describing action changes for each time period) determine the actions and plot for each segment.
🎁Claim RH Coins first, then go try out the workflow! Click the avatar in the top right corner → Invitation Code → Enter [rh-v1111] to instantly claim 1000RH Coins, and log in daily to get another 100 coins~ For more ComfyUI workflows, tutorials, and gameplay, please follow our official WeChat account (AIKSK). Synchronized updates are also available on Douyin / Bilibili / Xiaohongshu / YouTube (AI-KSK) ✨


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