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Animate an uploaded starting image into one silent video with Causal Forcing Framewise. For a first run, upload an image and replace the example motion prompt with a description of your subject's movement and the desired camera behavior. Choose width and height in multiples of 16 with an aspect ratio similar to the image. Start with 832 × 480, duration 5, batch size 1 and playback at 16 FPS. The image is used as the starting-frame input; uploaded transparency is not preserved through the connected RGB image output. Duration is measured on a fixed 16 FPS generation basis. The graph calculates min(duration × 16 + 1, 81) and uses its integer output as the requested frame count. Use positive duration values up to 5 seconds; larger values do not add frames. At 16 FPS, 81 frames play for about 5.06 seconds. Playback FPS changes how quickly the generated frames play, independently of their count: higher FPS shortens playback and lower FPS lengthens it. Seed -1 requests fresh random variation each run. A fixed seed reuses the sampling noise. CFG defaults to 1, where the negative prompt has no effect. For experiments with CFG above 1, describe unwanted appearance or motion in the negative prompt. Changing guidance departs from the supplied checkpoint preset. Advanced sampling controls expose steps, noise schedule and denoise fraction. Begin with the source configuration: 4 steps, simple schedule and denoise 1. Denoise controls the sampling schedule rather than directly specifying how closely to preserve the uploaded image. The fixed model is causal_forcing-framewise.safetensors with the Wan VAE and text encoder; its autoregressive sampler is fixed to one frame per block, matching the Framewise mode. Keep batch size 1 for a single sequence. The graph has one video assembly path and does not return separate videos for batch members. File type and codec control output encoding and default to auto. No audio input is connected, so the result is silent.
