This is a single/dual-character digital human video application based on LTX 2.3 Dev-Dare + VBVR Final Version + PromptRelay Segmented Plot Control + NAG Conditional Enhancement + Third-Order Rendering Polish + Dual Latent Upscaling. Users upload a character first-frame image / single-dual character reference image, then fill in global prompts and segmented prompts, and the system generates stable character dynamic videos based on the reference image. It is not an external audio-driven version; its core is using text prompts to control character actions, expressions, interactions, positioning, and camera pacing, making it more suitable for solo performances, two-person interactions, storyboarding, AI short drama segments, and role-play videos.
Compared to the standard third-order rendering version, this edition focuses on enhancements in Dev-Dare base + VBVR motion logic + LTX2_NAG conditional enhancement. Dev-Dare provides a stronger video generation foundation, VBVR reinforces motion continuity and movement understanding, NAG makes prompt constraints more stable, and combined with three-stage sampling, three-stage image constraints, dual Latent Upsampler, and tiled decoding, it makes single or dual-character visuals more stable, detailed, and ready for final output. The core advantages are: Single image defines the character, PromptRelay controls the plot, Dev-Dare + VBVR enhances motion stability and final output texture. When using, it is recommended to focus on controlling three items: The character's first-frame image determines identity, the global prompt (used to write overall scene rules) determines overall rules, and the segmented prompts (writing action changes for each time period) determine each segment's actions and plot.
🎁Claim RH Coins first, then go experience the workflow! Top-right avatar → Invitation Code → Enter [rh-v1111] to instantly receive 1000 RH Coins, and log in daily to get another 100 RH Coins~ For more ComfyUI workflows, tutorials, and gameplay, follow our WeChat Official Account (AIKSK), with simultaneous updates on Douyin / Bilibili / Xiaohongshu / YouTube (AI-KSK) ✨


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