| name | wan-scail-replacement |
| description | SCAIL-2 in-video character replacement on WAN 2.1. WanSCAILToVideo + SCAIL2ColoredMask + SAM3, the reference-image framing→scale rule, and the tuning/compositing pitfalls |
| globs | ["**/*.json"] |
SCAIL-2 In-Video Character Replacement (WAN 2.1)
SCAIL-2 (zai-org, on WAN 2.1 14B) replaces the person in a driving video with a
character you supply as a reference image, end-to-end, with no pose maps, and
with multi-character support. It is the successor to WAN Animate / motion
transfer for the "swap the subject, keep the motion" job. The official ComfyUI
template is video_wan21_scail2_character_replacement_int8, built around
WanSCAILToVideo (+ SCAIL2ColoredMask) with a SAM3 mask driving where the
character goes.
This skill documents the non-obvious behaviours that cost a full multi-minute
render to discover. It is not a from-scratch graph. Start from the official
template and apply the guidance below.
The one rule that costs a re-render: reference framing controls SCALE
In replacement_mode: true, the reference image's FRAMING controls the output
character's SIZE as well as its appearance. The SAM3 mask controls where the
character is placed; the reference image controls how large.
Measured on a 720x1280 driving clip where the subject occupied ~30% of frame
height (subject bbox 363 px):
| Reference framing | Person bbox in output | vs driving subject |
|---|
| Full-bleed portrait (person ~93% of frame) | 621 px | 1.71x oversized |
| Reframed (person ~34% of frame) | 364 px | 1.003x — correct |
After reframing, top/bottom registration matched the driving subject within 1 px
(the character stands on the same ground plane at the same height). Pose transfer
was correct in both cases. Only the scale was wrong, which makes it easy to
misread as "the model works" until you A/B against the source.
Guidance: pad or reframe the reference before you render.
Pad/reframe the reference image onto a canvas at the working resolution so the
person occupies roughly the same fraction of frame height as the subject in the
driving video. A full-bleed portrait reference against a wide-shot driving clip
renders the character oversized in proportion to the framing mismatch.
It is a trap because the template's on-canvas notes do not state it, and it does
not show up in the popular Civitai motion-transfer workflows. Those run
animation mode, where the reference legitimately fills the frame.
Tuning trade-off: distill LoRA strength / shift leaks driving-subject detail
Running the lightx2v distill LoRA at 0.8 with ModelSamplingSD3 shift 5 (the
settings the popular Civitai workflow uses) improves colour and detail versus
1.0 / shift 8. It also increases adherence to the driving video enough
that original-subject details bleed onto the replacement character. In one
run the original golfer's neon-yellow shoe appeared on a replacement character
who wears white shoes in the reference (same seed, same reference, only those two
params changed). If you see source details you didn't ask for, raise the LoRA
strength / shift back toward 1.0 / shift 8.
Don't "fix" colour with post-hoc compositing — it's a regression
The raw SCAIL-2 output shows a measurable colour error (background ~-5 per channel
from the VAE round-trip; the character loses red ~2.4x faster than green, which
reads as a slight green cast). It is tempting to composite the generated character
back over the original plate through the SAM3 mask to "correct" it. Don't. It
measures better but looks worse:
- The mask boundary produces an obvious halo.
- Layering the original plate's props (e.g. a golf club) over generated hands
severs the grip relationship the model had solved coherently.
SCAIL-2 resolves colour, edges, grip and occlusion jointly; correcting any one
of them in isolation breaks the others. Leave the raw output alone.
Models (reference set)
The template's int8 build was exercised with:
wan2.1_14B_SCAIL_2_int8_convrot, the SCAIL-2 modelwan2.1_SCAIL_2_DPO_lora_bf16, the DPO LoRAlightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16, the distill LoRA (see tuning note)Wan2_1_VAE_bf16umt5_xxl_fp8_e4m3fn_scaled, the text encoderclip_vision_hsam3.1_multiplex_fp16, the SAM3 mask model
VRAM: ~22.2 GB peak at 576x1024 / 81-frame chunks on a 24 GB card.
See also
wan-t2v-video, wan-flf-video for other WAN 2.x video pipelinesdirector for multi-shot scene direction for video pipelines
Sources
- Official: none found.
- Empirical: sampler values, wiring, and prompt notes from working graphs in
packs/ and observed renders; not a vendor prompting guide.
