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Upload a reference image with the spatial layout you want to guide, then describe the new scene and style in the positive prompt. The reference is resized, Depth Anything 3 estimates its depth, and Anima generates a fresh image using that depth as guidance. Outputs include the generated image batch and the grayscale depth preview. For a first run, keep Output size at 1 megapixel, Depth strength at 1, and Turbo mode off. Output dimensions are derived from the depth preview rather than independent width and height fields. The source image supplies spatial guidance, not an encoded starting image: this tool does not preserve its exact colors, texture, identity, or transparency. Turbo mode selects the fixed Anima Turbo LoRA and switches to its separate sampling settings: 8 steps and CFG 1 by default, versus 30 steps and CFG 4 in standard mode. Each mode's steps and CFG remain independently tunable. Turbo LoRA strength only matters when Turbo mode is enabled. Adjust Depth strength to change the influence of the reference layout. Depth guidance start and end specify fractions of the sampling process and should remain ordered from start to end. Depth normalization and sky clipping change the map used both for the preview and generation. Keep the renderer on grayscale depth and the estimator in mono mode for the fixed model and depth patch. Increasing depth-estimation resolution can recover finer structure at greater memory and processing cost; it does not independently enlarge the final image.
Create a 360-degree turntable video of a TripoSplat reconstruction from one uploaded image. Adjust output dimensions, orbit frames, background color, and render style: color, clay, depth, or normals. The default 75 frames at 25 FPS produce a three-second video. Negative frame counts reverse the orbit; -1, 0, or 1 render a single view. Disable automatic background removal when using the image's alpha mask. Camera controls adjust framing and projection; bypass the camera stage for automatic framing. Advanced controls tune foreground preprocessing, reconstruction sampling, splat density, intermediate previews, and video encoding. Gaussian counts above 262144 oversample existing points rather than adding detail. Generation seed and point sampling seed control separate random processes.
Animate a reference character using motion from a driving video, with text control over appearance and background. For a first run, upload a character image and a driving video with similar subject framing. Replace the appearance example with a description of your character and desired background, and replace the motion example with the action shown in your video. Leave the sampling defaults and context windows off initially, then generate the animation. The default requests one 81-frame segment at 482 × 854 pixels, using the driving video's frame rate and audio when present. Width and height resize the driving frames; the reference image is resized to the resulting dimensions. Both use center cropping for aspect-ratio mismatches. Set one dimension to 0 to derive it from the other using the driving video's aspect ratio; do not set both to 0. The reference upload's alpha mask is not connected, so uploaded transparency is not preserved. Frame count sets the requested segment length. Motion strength and reference strength independently control their respective conditioning. Motion guidance start and end specify the sampling interval for pose guidance, with 0 to 1 covering the full process. Starting frame offsets motion conditioning, but the driving video's first frame still supplies its vision conditioning and the attached audio is not offset. Audio synchronization is therefore not guaranteed when changing the starting frame or removing the first generated frame. Optional context windows switch to temporal-window sampling. Window length, overlap, schedule, blending and FreeNoise apply only when enabled. Stride applies only to uniform schedules, and closed loop only to looped schedules; this toggle does not guarantee a seamless video loop. The schedule and blending fields retain source names without an enumerated list of alternatives, so use the defaults unless you know another value supported by the installed node. Advanced sampling retains the source's Lightx2v distillation LoRA at strength 1, six steps, lcm sampler, simple scheduler, CFG 1 and sampling shift 5. Seed -1 randomizes noise; a fixed nonnegative seed reuses its initialization. Denoise, added noise, latent batch size and LoRA strength remain available for advanced changes. Batch size defaults to 1; this Pipe returns one video rather than separate outputs for batch members. Output container and codec default to automatic selection, and CRF -1 uses the transport default. The delivered result is the generated animation. The source's side-by-side comparison is auxiliary, and its disconnected continuation stage does not extend this output.