Definitions of credits, video parameters, controlnets, and platform architecture.
A reference image passed into a video generation model to dictate character facial features, costume consistency, or background composition across motion clips.
Example: Using an Anchor Image prevents character faces from morphing between shots in talking head videos.
Link to Anchor ImageCoalition for Content Provenance and Authenticity cryptographic metadata embedded into media files to verify synthetic origin and generation timestamp.
Link to C2PA ProvenanceThe number of heavy GPU rendering jobs your workspace can run simultaneously without queuing.
Example: Pro plans allow 6 concurrent renders across video and image models.
Link to Concurrency LimitA neural network structure that adds spatial conditioning controls (such as openpose skeletons, depth maps, or edge detection) to image diffusion models.
Link to ControlNetThe universal platform utility unit used to compute generation costs based on model provider compute intensity, resolution, and output duration.
Link to CreditsAlgorithms that generate intermediate frames between two existing video frames to increase frame rate from 24fps to 60fps or smooth fast motion.
Link to Frame InterpolationClassifier-Free Guidance scale parameter that controls how strictly a diffusion model adheres to your text prompt versus creative model variance.
Example: A CFG of 7.0 balances prompt precision without over-saturating image colors.
Link to Guidance Scale (CFG)Inpainting edits specific masked areas within an existing image; outpainting expands the visual canvas beyond original boundaries.
Link to Inpainting & OutpaintingSpecifying starting (first frame) and ending (last frame) image inputs to dictate precise motion trajectories in generative video.
Link to KeyframingA compressed mathematical representation of visual data where diffusion models perform noise reduction before decoding into final pixels.
Link to Latent SpaceSmall trained weight packages applied on top of base diffusion models to replicate specific artistic styles, brand aesthetics, or product features.
Link to LoRA (Low-Rank Adaptation)An open standard allowing AI agents and external tools to interact directly with BeHooked studio generation pipelines.
Link to MCP (Model Context Protocol)BeHooked's visual node graph tool for linking image generation, script generation, and video rendering into automated workflows.
Link to NodeflowAn autonomous multi-modal agent that accepts plain-text campaign goals and executes multi-step studio tasks on your behalf.
Link to SuperagentNo terms match that search.
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