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Scail 2

All video to video models
Video to Video

SCAIL-2 is an end-to-end character animation model that drives a reference character from a source video without relying on intermediate pose representations like skeleton maps.

Inference$ Commercial useFrom 14 credits per run

About Scail 2

SCAIL-2 is an end-to-end character animation model that drives a reference character from a source video without relying on intermediate pose representations like skeleton maps.

stylizedtransform

Pricing

A run with the default settings costs 14 credits. The exact cost updates in the playground as you change settings, and you're only charged when you press Run. Failed runs are refunded automatically.

Inputs

prompttextarearequired

The prompt describing the final video to generate.

image_urlfilerequired

URL of the reference character image. The character in this image is animated (or used to replace a subject) according to the driving video.

video_urlfilerequired

URL of the driving (motion) video. The subject can be a human, multiple humans, or an animal.

modeselectdefault: "animation"

`animation` animates the reference character with the driving motion. `replacement` replaces the driving subject with the reference character while keeping the original scene.

Options: animation, replacement

driving_typeselectdefault: "end_to_end"

Driving signal for animation mode. `end_to_end` (default) drives directly from the SAM3-masked driving video and is the recommended, most robust path. `pose` renders an explicit NLF/DWPose skeleton from the driving video (more control for challenging inputs).

Options: end_to_end, pose

subject_typeselectdefault: "human"

Type of subject in the driving video. `animal` switches the SAM3 detection prompt to non-human subjects.

Options: human, animal

resolutionselectdefault: "512p"

Output resolution. 512p outputs 896x512 (landscape) or 512x896 (portrait); 704p outputs 1280x704 or 704x1280. Orientation is chosen automatically from the reference image aspect ratio.

Options: 512p

num_inference_stepsintegerdefault: 40

Number of diffusion sampling steps. Higher improves quality but is slower.

guidance_scalenumberdefault: 5

Classifier-free guidance scale. Controls prompt adherence versus creativity.

shiftnumberdefault: 3

Flow-matching noise schedule shift. 3.0 is recommended for the 512p tier.

seedinteger

Random seed. Leave empty for a random seed. The seed used is returned in the response.

enable_safety_checkerbooleandefault: true

Authorized callers may set false to request relaxed screening.

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