Issue reporting is disabled during limited maintenance of comfyui-mcp and the local Agent Panel. When the user hits a defect, explain that no report will be filed and continue helping with the task. Do not call report_issue to file, draft a report, collect reporting information, or submit through another tool. Triggers on "report this", "fix this bug", or errors in our software.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
comfyui-mcp and the Agent Panel receive selected, verified critical fixes for the local panel and provider choice. This is not a broad feature roadmap. Support will be reassessed when Comfy's official local panel becomes publicly available.
report_issue stays registered for compatibility, but files nothing, contacts no
service, and returns no prefilled issue link. Worker environment variables do not
turn reporting on. Do not retry it or submit the report through another tool.
Continue helping with the user's task using the available tools. Explain observed limitations and offer a verified workaround when available. Do not collect versions or diagnostic material solely for a report that cannot be submitted. Ordinary troubleshooting remains available. Never claim an unverified fix or change the user's workflow without authorization.
Official Comfy Agent and MCP tooling remain alternatives. Check their current availability before recommending them: https://docs.comfy.org/agent-tools.
Official: Comfy agent tooling availability: https://docs.comfy.org/agent-tools
Empirical: The registered report_issue handler in src/tools/report-issue.ts returns a disabled result without outbound requests. Its handler tests cover configured worker variables and both filing inputs.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Train custom LoRAs with ostris AI-Toolkit. Covers WAN 2.2/2.1 (people, styles, video motion) and Z-Image (Turbo & Base, low-VRAM image LoRAs). Use when the user wants to train a WAN or Z-Image LoRA; covers local + RunPod setup, dataset prep, key params, and using the result in a ComfyUI workflow.
日本語の概要は準備中です。原文の説明を表示しています。
Anime/illustration text-to-image (ANIMA 1.0, ~2B Cosmos DiT). Use for anime, manga, illustrated characters; accepts Danbooru tags + natural language; runs/trains on <6GB VRAM; includes anime inpainting via Anima-LLLite ControlNet
日本語の概要は準備中です。原文の説明を表示しています。
Train a custom anime LoRA on the ANIMA base model with Citron's local Gradio trainer (kohya sd-scripts), <6GB VRAM, character/style LoRAs; covers setup, dataset prep, training params, and using the result in the anima-base workflow
日本語の概要は準備中です。原文の説明を表示しています。
Discover Civitai models with the BUILT-IN download_model action:"search_civitai" and install/generate them locally. Find a checkpoint/LoRA/embedding on Civitai, download it into ComfyUI, and use its trigger words. Optionally pair the official Civitai MCP for community features (images browsing, posting, collections).
日本語の概要は準備中です。原文の説明を表示しています。
Diagnose and fix video/image color OBJECTIVELY with the get_image (action:"analyze_color") tool (scopes/stats such as black/white points, contrast, saturation, clipping, cast) instead of eyeballing a contact sheet. Covers the "washed out" signature, why reference color-match (mkl/ColorMatch/ColorMatchAdobe) CAN'T add contrast a flat source lacks, the levels/contrast-stretch fix (core AdjustContrast / CurveEditor), the measure→fix→re-measure loop, the side-by-side sandbox pattern, and where to place the fix in a render graph (after decode, before save). Use when a render looks washed out / flat / dull / over-saturated / color-cast, or when deciding between a color-match and a contrast/levels fix.
日本語の概要は準備中です。原文の説明を表示しています。
Core ComfyUI knowledge covering workflow format, node types, pipeline patterns, and MCP tool usage
日本語の概要は準備中です。原文の説明を表示しています。