2D Sprite Animation (video-to-spritesheet pipeline)

Asset reference for game-generation. Use for ANY animated 2D asset — characters, objects, effects — delivered as a spritesheet. The pipeline: key-pose image → higgsfield generate create (seedance1_5) → frame extraction (ffmpeg) → frame selection → per-frame background removal → spritesheet assembly. Style: the key-pose prompt embeds the STYLE FORMULA per stylization.md — open it first, as for every asset.

Why video instead of generating frames directly: an image model drawing N frames independently cannot hold the character identical across frames — limbs, proportions and details drift, and the animation "boils". A video model animates ONE image, so every frame is the same character by construction. We then sample the video back into frames. This trades prompt control for temporal coherence — the right trade for game sprites.

Native AutoSprite route — preferred

Use autosprite when present in the live model catalog. It owns animation, frame selection, background removal, and sheet assembly:

higgsfield model get autospritehiggsfield upload create ./character.png --jsonhiggsfield generate create autosprite \  --image_url "<stable URL from upload output>" \  --kind walk \  --video_tier turbo \  --frame_count 12 \  --frame_size 256 \  --remove_bg default \  --with_sound false \  --is_humanoid true \  --wait \  --json

Supported standard kinds and isometric directions come from higgsfield model get autosprite. For kind=custom, pass both --prompt and --name; omit both for standard kinds. Use the manual pipeline below only when AutoSprite is unavailable or the project requires explicit control over extracted frames.

Pipeline at a glance

Hard rules (each one is a known failure when violated):

• The subject is NEVER cropped. Full body in frame at every stage, with visible empty margin above the head and below the feet. A key pose, a video frame, or a sheet cell that clips the subject is a rejected asset — regenerate, do not "fix in post".
• The video model is seedance1_5 exactly. Not seedance_2_0, not the current default of higgsfield generate create. Verify availability via higgsfield model list if a call errors, but do not silently substitute a model.
• start = end only for loops. Looping actions pass the SAME image as both start frame and end frame. One-shot actions (attack, death, hit, cast) pass only the start frame — forcing them back to the start pose ruins the action.
• First and last extracted frames are always kept in the selection. For loops the last frame is then dropped at sheet assembly (see stage 7) — kept during selection, excluded from the sheet.
• Background removal runs on FRAMES, one by one — never on the video.

Stage 1 — Source image

What goes in: the character/asset image from the manifest (generated per stylization.md, FORMULA embedded) or supplied by the user. Character, object, or both in one shot — the pipeline does not care what the subject is, only that it is fully visible.

If the source already crops the subject (feet cut by the canvas, head at the edge), it cannot enter stage 2 as-is — regenerate or outpaint it to full body first. A cropped input guarantees a cropped animation.

Stage 2 — Key-pose generation (flux_2)

What: produce the subject in the mid/peak phase of the requested action. The video model animates around the image it is given; starting from the action's characteristic phase is what makes 4 seconds of video read as that action.

• idle → slight lean / relaxed breathing stance
• walk / run → mid-stride, one leg forward
• attack → wind-up (weapon raised / fist drawn back)
• jump → crouched anticipation
• cast / effect → energy gathered at the hands / pre-release
• flames, water, props → the shape at its most typical, not its extreme

How: higgsfield generate create with model flux_2, the source image as media reference, the STYLE FORMULA verbatim in the prompt, plus the pose instruction. The prompt MUST demand:

• full body / full object in frame — head to feet visible;
• empty margin above and below the subject — the motion needs headroom and footroom (a jump goes up, a stride extends down; without reserve space the video model crops);
• a clean, uniform, uncluttered background — it is removed per-frame later, and a busy background degrades the matte. The background color must NOT appear anywhere on the subject — pick it by looking at the subject's palette first (green character → magenta background, red/pink character → green, neutral subject → any saturated key color per stylization.md). A shared color is how the remover eats holes into the subject or leaves background patches stuck to it.

Why a separate key pose at all: feeding the neutral source straight into video gives generic swaying. The key pose is the steering wheel — it is the single biggest lever on what action the video actually performs.

Gate: subject fully inside the frame with visible margin top and bottom, nothing clipped, style matches the FORMULA. Cropped or off-style → reroll (regeneration budget per SKILL.md: 2 attempts, then best-of).

higgsfield generate create flux_2 \  --image ./source-character.png \  --prompt "<STYLE FORMULA>. <single key-pose instruction>. Full body in frame with empty margin above the head and below the feet. Clean uniform <key color> background." \  --aspect_ratio 1:1 \  --resolution 1k \  --wait \  --json

Stage 3 — Video generation (seedance1_5)

Fixed parameters:

Aspect ratio is read off the key-pose file and passed explicitly (a 1:1 pose → aspect_ratio: "1:1", and so on). "Auto" does not exist as a real parameter value: omitting the parameter does NOT mean "follow the input" — it silently falls back to the TOOL's default (shipped failure: an unset ratio on a 1:1 key pose came back as 3:4). A mismatched ratio reframes the input, eats the top/bottom margins the key pose was built with, and is the cheapest way to violate the "subject is never cropped" hard rule.

Why start = end for loops: the video model is forced to return to the exact starting pose, so frame 1 and the final frame are identical and the cycle closes seamlessly. Without it the loop visibly "jumps" at the wrap point. Why not for one-shots: an attack that must end where it began turns the strike into a rubber-band; one-shot actions get only the start frame and play once (once in the filename, see stage 7).

Prompt = ONE action + a mandatory negative block. The positive part describes the MOTION and nothing else — not the subject (the image already is the subject), not the mood, not the scene: "smooth idle breathing cycle, subtle weight shift", "full walk cycle in place", "single sword slash, fast wind-up, sharp strike, follow-through". Exactly one action per video; any second verb in the prompt is a defect.

The negative block is NOT optional and is appended to EVERY animation prompt, because the model fills the fixed 4 seconds with improvisation wherever the prompt leaves freedom — a positive instruction alone only says what to do and stays silent about everything else. Two parts:

1. Camera lock (always): camera locked, no camera movement, no zoom, subject stays fully in frame, plain static background — camera drift and zoom are the top causes of unusable frames.
2. Prop & action inertia (always; expand when the subject holds anything): the character performs ONLY this action, nothing else happens. If the subject carries a prop with an obvious action of its own (weapon, tool, instrument), name the prop and freeze it explicitly: the <prop> stays inert and is never used — no firing, no muzzle flash, no swinging, no raising it. Props carry their own learned scenarios (a raised pistol "wants" to fire, a bat "wants" to swing); an unfilled cycle duration plus an unconstrained prop is exactly how a run cycle gains a gunshot mid-video. Shipped failure: a 4 s "run cycle in place" where the model fired the held pistol twice — the negative block above is what prevents it.
3. Facing lock (always): the subject keeps facing the SAME direction for the entire video — never turns around, never rotates toward or away from the camera, no head turns past the shoulder. Game sprites are generated facing ONE direction (the engine mirrors them for the other side); a mid-video turn poisons every frame after it — half the selected frames face the wrong way and the sheet is garbage. Turning is the model's favorite filler for loopable actions (idle "look around", walk "glance back"), so the lock is mandatory even when the action seems direction-neutral. The ONLY exception: the requested action IS a turn — then it is a one-shot (start frame only, once), never a loop.

Loop example (omit --end-image for a one-shot):

higgsfield generate create seedance1_5 \  --start-image ./key-pose.png \  --end-image ./key-pose.png \  --prompt "<one action>. Camera locked, no camera movement, no zoom, subject stays fully in frame, plain static background. The character performs ONLY this action; nothing else happens. The subject keeps facing the same direction for the entire video." \  --duration 4 \  --resolution 720p \  --aspect_ratio 1:1 \  --generate_audio false \  --wait \  --json

Gate before moving on: scrub the video — subject never leaves the frame or gets clipped, no camera motion, facing direction is identical in the first and last frame and never flips in between, loop wrap is invisible (for loops). Fail → regenerate the video (adjust the motion prompt) before burning time on frames.

Stage 4 — Frame extraction (ffmpeg)

Download the result video into the workspace, then dump every frame:

ffmpeg -i anim.mp4 -vsync 0 raw/%04d.png

4 s at native fps yields ~96–120 PNGs. Extract ALL of them — selection happens in stage 5 on the full set, never via ffmpeg's own fps filter (it cannot guarantee the exact first/last frames are kept).

Stage 5 — Frame selection (frame_count)

What: pick frame_count frames, evenly spaced across the full range, always including the first and the last extracted frame.

import numpy as npidx = np.unique(np.round(np.linspace(1, total, frame_count)).astype(int))

(linspace endpoints guarantee first + last; unique guards tiny counts.)

Range: 2–64. Default: 25 when nothing in the context says otherwise.

Choosing by context — the question is "how much does the silhouette change per beat of this action":

Why fewer is often better: every frame is a sheet cell — memory, texture size, and background-removal calls all scale linearly with it. A walk cycle reads perfectly at 8 frames (the entire 8/16-bit era proves it); 60 frames of walk is waste. Spend frames only where the silhouette genuinely changes fast.

Stage 6 — Background removal (per frame)

Each selected frame: pass its local path to image_background_remover; the CLI uploads it automatically and the completed job returns the transparent PNG:

higgsfield generate create image_background_remover \  --image ./selected/0001.png \  --wait \  --json

Why per-frame and not the whole video: the per-image matte is computed independently and cleanly per frame; the video path optimizes for temporal smoothness and smears edges across frames — on sprites that shows up as a halo that flickers. Frames it is, accepting the N calls.

Submit the frames in parallel, poll all to completion (fire-and-forget does NOT apply — the sheet needs every frame). Gate: spot-check 3–4 frames at 2× zoom — no leftover background patches, no eaten thin parts (blades, hair, flame tips). A bad matte on the same spot across frames means the stage-2 background was too busy or shared a color with the subject → fix there (change the key color), not by hand-editing mattes.

Stage 7 — Spritesheet assembly

All transparent frames are composed into ONE grid PNG:

1. Union bounding box. Compute the bounding box of non-transparent pixels across ALL frames, take the union, crop every frame to that SAME box. This anchors the subject identically in every cell — per-frame cropping makes the sprite jitter in-game.
2. Uniform cell. Pad the union box to a uniform cell size; anchor bottom-center (feet stay planted on the ground line across frames).
3. Loop de-duplication. For looping animations drop the LAST frame from the sheet — it is identical to frame 1 (start = end), and playing both makes the loop stall for one beat at the wrap. One-shot animations keep every frame.
4. Grid, not strip. Lay frames into a near-square grid (24 frames → 5×5 with the tail row partial). A horizontal strip of 64 cells exceeds GPU texture limits. Total sheet dimension ≤ 4096 px on either side — if it does not fit, downscale the cells, never drop frames.
5. PNG with alpha, no compression artifacts.

Metadata lives in the filename — no sidecar JSON. The consumer (stage-3 game code) parses everything it needs from the name:

{asset}_{action}_f{count}_{cellW}x{cellH}_g{cols}x{rows}_fps{n}_{loop|once}.png
knight_idle_f15_192x256_g4x4_fps12_loop.pngslime_attack_f12_160x160_g4x3_fps14_once.pngtorch_flame_f10_96x192_g4x3_fps10_loop.png

f = frames actually in the sheet (after loop de-dup); g = grid; cells fill left-to-right, top-to-bottom; trailing cells of the last row are empty and transparent.

Playback fps is a recommendation baked into the name: pixel art 8–12, HD sprites 12–24, default 12. Note fps is decoupled from frame_count — 15 frames at 12 fps is a 1.25 s loop; pick fps for the feel of the motion, not to "use up" the frames.

Pixel-art sprites — the quality envelope

Small pixel sprites pass through the same pipeline but only look good inside these limits — choose parameters from them, not from the HD defaults:

• The video is still generated at 720p from a full-size key pose; the pixel-art look is applied at the END — downscale the assembled cells with nearest-neighbor (no smoothing, no anti-aliasing) to the target size from the manifest (e.g. 32/48/64 px).
• frame_count 8–16, no more. At small sizes extra frames add shimmer, not smoothness — sub-pixel drift between video frames turns into visible pixel crawl.
• Subtle, readable motions survive the downscale (sway, bob, stride, blink). Fine detail motion (fingers, facial expression, thin particles) dies below ~64 px — do not request it.
• fps 8–12. Higher framerates at small sizes read as noise.

If the manifest asks for a pixel sprite whose action violates this envelope (e.g. a 32 px character with a 48-frame cloth simulation), simplify the action to fit the envelope — that is a planning fix, not a generation fix.

Failure recovery

Regeneration budget per SKILL.md: 2 attempts per stage, then take the best and compensate downstream.