Adapt New Diffusion Model
intel/auto-round
Adapt AutoRound to support a new diffusion model architecture (DiT, UNet, hybrid AR+DiT).
SCAIL-2 in-video character replacement on WAN 2.1. An agent skill from artokun/comfyui-mcp.
Install Wan Scail Replacement
$ npx skills add artokun/comfyui-mcp --skill wan-scail-replacement -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install artokun/comfyui-mcp wan-scail-replacement --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/wan-scail-replacement .claude/skills/wan-scail-replacement && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "wan-scail-replacement" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-scail-replacement into .claude/skills/wan-scail-replacement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-scail-replacement", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-scail-replacementType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add artokun/comfyui-mcp --skill wan-scail-replacement -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install artokun/comfyui-mcp wan-scail-replacement --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugin/skills/wan-scail-replacement .agents/skills/wan-scail-replacement && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "wan-scail-replacement" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-scail-replacement into .agents/skills/wan-scail-replacement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-scail-replacement", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add artokun/comfyui-mcp --skill wan-scail-replacement -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install artokun/comfyui-mcp wan-scail-replacement --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugin/skills/wan-scail-replacement .cursor/skills/wan-scail-replacement && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "wan-scail-replacement" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-scail-replacement into .cursor/skills/wan-scail-replacement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-scail-replacement", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/artokun/comfyui-mcp.git --path plugin/skills/wan-scail-replacement--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add artokun/comfyui-mcp --skill wan-scail-replacement -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install artokun/comfyui-mcp wan-scail-replacement --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugin/skills/wan-scail-replacement .gemini/skills/wan-scail-replacement && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "wan-scail-replacement" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-scail-replacement into .gemini/skills/wan-scail-replacement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-scail-replacement", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install artokun/comfyui-mcp wan-scail-replacementInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add artokun/comfyui-mcp --skill wan-scail-replacement -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugin/skills/wan-scail-replacement .github/skills/wan-scail-replacement && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "wan-scail-replacement" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-scail-replacement into .github/skills/wan-scail-replacement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-scail-replacement", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add artokun/comfyui-mcp --skill wan-scail-replacement -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install artokun/comfyui-mcp wan-scail-replacement --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugin/skills/wan-scail-replacement .opencode/skills/wan-scail-replacement && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "wan-scail-replacement" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/wan-scail-replacement into .opencode/skills/wan-scail-replacement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wan-scail-replacement", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
wan-scail-replacement- GitHub stars
- 803
- Token cost
- ~1.2k tokens
- SKILL.md length
- 647 words
- Files
- 1
- Skills in repo
- 42
- Repo updated
- First seen
- Licence
- MIT
At a glance
SCAIL-2 in-video character replacement on WAN 2.1. An agent skill from artokun/comfyui-mcp.
- Tasks that involve Diffusion and image models
- SKILL.md covers The one rule that costs a…, Tuning trade-off: distill LoRA…, Don't "fix" colour with… and Models (reference set), plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Wan Scail Replacement is an agent skill from artokun/comfyui-mcp. SCAIL-2 in-video character replacement on WAN 2.1. WanSCAILToVideo + SCAIL2ColoredMask + SAM3, the reference-image framing→scale rule, and the tuning/compositing pitfalls
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Diffusion and image models. The repository describes itself as: Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video & audio, authors and runs workflows, and edits your live graph in… The licence is MIT.
When your agent uses it
- Tasks that involve Diffusion and image models
Example prompts
- “/wan-scail-replacement”
What it can do on your machine
Read from SKILL.md and the folder at commit 6ad6fc0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Wan Scail Replacement loads about 1.2k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 647 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from artokun/comfyui-mcp at commit 6ad6fc0, republished under its MIT licence (© artokun). 647 words, ~1,186 tokens.
Download SKILL.mdSave it as
.claude/skills/wan-scail-replacement/SKILL.md (or your agent's skills folder).- 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.
Show full SKILL.md (210 more words)Show less
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-videofor other WAN 2.x video pipelinesdirectorfor 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.
© artokun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in plugin/skills/wan-scail-replacement of artokun/comfyui-mcp.
Open the folder on GitHubat commit 6ad6fc0
Compare with similar skills
Wan Scail Replacement next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Wan Scail Replacement this skillartokun/comfyui-mcp | 803 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Adapt New Diffusion Modelintel/auto-round | 1.6k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Add Pipelineverl-project/verl-omni | 1.2k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Comfyui AnimatoolShiroEirin/comfyui-good-anima | 481 | — | ~4.6k | Automated safety check: Pass | GPL-3.0 | |
| Stage1 Add VaeEnd2End-Diffusion/diffusion-bench | 105 | — | ~1.1k | Automated safety check: Pass | None | |
| Comfyui Agent Skill MieMieMieeeee/comfyui-agent-skill | 116 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Add Pipeline
verl-project/verl-omni
Router for adding a diffusion or omni pipeline to verl-omni.
Comfyui Animatool
ShiroEirin/comfyui-good-anima
Route ALL Anima image generation: validate Danbooru hard anchors, form visual brief, assemble English prompts and args, then load comfyui-manager for workflow execution.
Stage1 Add Vae
End2End-Diffusion/diffusion-bench
Add a new HuggingFace-supported VAE to the stage1 tokenizer pipeline.
Comfyui Agent Skill Mie
MieMieeeee/comfyui-agent-skill
Agent skill for running registered ComfyUI workflows through a stable CLI, and for importing a user's own ComfyUI workflow into their private registry after review.
Comfyui Node Adder
nixified-ai/flake
Adds new custom nodes to the ComfyUI Nix project, including npins fetching, dependency resolution in package.nix, disabling impure pip installs, and verifying the Nix build.
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Related
Categories
Questions about Wan Scail Replacement
What does Wan Scail Replacement do?
SCAIL-2 in-video character replacement on WAN 2.1. An agent skill from artokun/comfyui-mcp. Wan Scail Replacement is an agent skill from artokun/comfyui-mcp.1.
When should I use Wan Scail Replacement?
Wan Scail Replacement fits situations like: tasks that involve Diffusion and image models.
How do I install Wan Scail Replacement in Claude Code?
Run `npx skills add artokun/comfyui-mcp --skill wan-scail-replacement -a claude-code`. Or copy the skill folder (plugin/skills/wan-scail-replacement in artokun/comfyui-mcp) into .claude/skills/wan-scail-replacement in your project. Claude Code loads it when a task matches its description.
How do I install Wan Scail Replacement in Codex?
Run `npx skills add artokun/comfyui-mcp --skill wan-scail-replacement -a codex`. Or copy the skill folder (plugin/skills/wan-scail-replacement in artokun/comfyui-mcp) into .agents/skills/wan-scail-replacement in your project. Codex loads it when a task matches its description.
Can I use Wan Scail Replacement in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add artokun/comfyui-mcp --skill wan-scail-replacement -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wan-scail-replacement, .gemini/skills/wan-scail-replacement, .github/skills/wan-scail-replacement and .opencode/skills/wan-scail-replacement in your project.
What does Wan Scail Replacement need to run?
SKILL.md names no scripts, command-line tools or credentials: Wan Scail Replacement is instructions for the agent only.
Does Wan Scail Replacement access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Wan Scail Replacement safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Wan Scail Replacement use?
Wan Scail Replacement is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Wan Scail Replacement use?
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Wan Scail Replacement?
Skills that share tags, products or a category with Wan Scail Replacement: Adapt New Diffusion Model (intel/auto-round, 1.6k stars), Add Pipeline (verl-project/verl-omni, 1.2k stars), Comfyui Animatool (ShiroEirin/comfyui-good-anima, 481 stars) and Stage1 Add Vae (End2End-Diffusion/diffusion-bench, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Wan Scail Replacement?
artokun (a GitHub user) maintains it in artokun/comfyui-mcp, which has 803 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on October 5, 2026.
Source: artokun/comfyui-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.