This is a single/dual-person digital human video application based on LTX 2.3 Dev-Dare model + PromptRelay segmented storyline control + VBVR motion logic enhancement + Crisp image quality enhancement + third-order rendering polish + dual Latent upscale. Users upload a character first-frame image / single-dual person reference image, 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 lies in using text prompts to control character actions, expressions, interactions, positioning, and camera rhythm. It is better suited for solo performances, two-person interactions, storyline storyboards, AI short drama clips, and character role-play videos.
Compared to the standard third-order rendering version, this version places special emphasis on enhancements in Dev-Dare model foundation + NAG enhancement + dual LoRA gain: Dev-Dare provides a stronger video generation foundation, NAG makes prompt constraints more stable, VBVR LoRA reinforces motion logic, and Crisp LoRA elevates visual texture. Combined with three-stage sampling, three-stage image constraints, dual Latent Upsampler, and tiled decoding, it makes single or dual-person visuals more stable, refined, and suitable for final output. The core advantages are: A single image defines the character, PromptRelay controls the storyline, and Dev-Dare+VBVR+Crisp enhance stability and texture. When using, it is recommended to focus on controlling three items: The character's first-frame image determines the identity, Global Prompt determines the overall rules, and Local Prompts determine each segment's action and storyline.
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