Curated download URLs and target directories, organized by family (Flux, WAN, LTX, Qwen, Z-Image, SD15/SDXL), for every model the comfyui-mcp skills reference, covering checkpoints, VAEs, text encoders, and LoRAs. Use when downloading models with download_model (action:"download" / action:"download_civitai"), when a workflow fails with a missing-model error, or when setting up a new machine.
把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性，你确认后才安装。
读取 https://funcoding.ai/skills/artokun/comfyui-mcp/model-registry/install.md ，按里面的步骤帮我安装这个 Skill。
One table per family: filename → source URL → target subdir under
<COMFYUI>/models/. Use with download_model({ action: "download", url, target_subfolder, filename }).
This registry grows with every release. If a model you need is missing, use
action:"search" (HuggingFace) or action:"download_civitai" and consider
contributing the row.
Quant column (kitchen). Filenames in this registry are mostly bf16 / fp8. NVFP4 and MXFP8 siblings, when a vendor publishes them, are the same stem with nvfp4 / mxfp8 in the name and belong in diffusion_models/ too. kitchen action:"assess" only offers an NVFP4 swap when that sibling is already listed locally — it does not guess a URL from the filename. Blackwell (SM ≥ 10.0) is the GPU that can run NVFP4 / MXFP8 compute.
Conventions
https://huggingface.co/<repo>/resolve/main/<path>HUGGINGFACE_TOKEN (accept the license on the HF page first)download_model action:"download_civitai" (resolves version → file); raw civitai.com/api/download/... URLs work with action:"download" + CIVITAI_API_TOKENmodel-compatibility skill covers which VAE/CLIP pairs with which architecture| File | Source | Target |
|---|---|---|
ae.safetensors (Flux/Z-Image VAE) | huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/ae.safetensors (Apache, not gated) | vae/ |
vae-ft-mse-840000-ema-pruned.safetensors (SD1.5 VAE) | huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors | vae/ |
clip_l.safetensors | huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors | text_encoders/ |
t5xxl_fp8_e4m3fn.safetensors | huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn.safetensors | text_encoders/ |
umt5_xxl_fp8_e4m3fn_scaled.safetensors (WAN) | huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors | text_encoders/ |
flux-txt2img skill for workflows)| File | Source | Target |
|---|---|---|
flux1-dev.safetensors 🔒 | huggingface.co/black-forest-labs/FLUX.1-dev | diffusion_models/ |
flux1-schnell.safetensors | huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/flux1-schnell.safetensors | diffusion_models/ |
flux2-vae.safetensors (Flux 2 Klein) | huggingface.co/Comfy-Org/flux2-klein — check repo for current path | vae/ |
wan-t2v-video / wan-flf-video skills)Comfy-Org repackages everything: huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged under split_files/.
| File | Path in repo | Target |
|---|---|---|
wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors | split_files/diffusion_models/ | diffusion_models/ |
wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors | split_files/diffusion_models/ | diffusion_models/ |
wan_2.1_vae.safetensors | split_files/vae/ | vae/ |
wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors | split_files/loras/ | loras/ |
wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors | split_files/loras/ | loras/ |
| Magical-morph I2V LoRAs (high/low) | huggingface.co/NikolaSigmoid/wan2.2-i2v-loras-magical-morph | loras/ |
| SkinMorph Redmond I2V 14B | civitai.com/models/2210162 (use action:"download_civitai") | loras/ |
ltxv2-video skill)| File | Source | Target |
|---|---|---|
ltx-2-19b-distilled.safetensors | huggingface.co/Lightricks/LTX-2 — check repo for the bf16 distilled path | checkpoints/ |
gemma_3_12B_it_fp4_mixed.safetensors | huggingface.co/Comfy-Org LTX repackage | text_encoders/ |
ltx-2-spatial-upscaler-x2-1.0.safetensors | huggingface.co/Lightricks/LTX-2 | upscale_models/ |
Camera-control LoRAs (dolly-left, distilled-384) | huggingface.co/Lightricks/LTX-2 LoRA dir | loras/ |
qwen-txt2img / qwen-image-edit skills)| File | Source | Target |
|---|---|---|
qwen_image_fp8_e4m3fn.safetensors | huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors | diffusion_models/ |
qwen_2.5_vl_7b_fp8_scaled.safetensors | same repo, split_files/text_encoders/ | text_encoders/ |
qwen_image_vae.safetensors | same repo, split_files/vae/ | vae/ |
qwen_image_edit_2511_bf16.safetensors | huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI — check repo | diffusion_models/ |
| Qwen-Image 2512 Lightning LoRA | huggingface.co/lightx2v/Qwen-Image-2512-Lightning | loras/ |
| Qwen-Image-Edit 2511 Lightning LoRA | huggingface.co/lightx2v/Qwen-Image-Edit-2511-Lightning | loras/ |
| Qwen-Image 2512 Turbo LoRA | huggingface.co/Wuli-art/Qwen-Image-2512-Turbo-LoRA | loras/ |
minimax-h3-video skill)Comfy-Org INT8 pack: huggingface.co/Comfy-Org/MiniMax-H3. Local weights are
under the MiniMax H3 Community License (territory-restricted). Prefer the
filenames the Comfy-Org templates already name.
| File | Source | Target |
|---|---|---|
minimax_h3_fl2va_pruned_int8_convrot.safetensors | huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors | diffusion_models/ |
minimax_h3_ref2va_pruned_int8_convrot.safetensors | same repo, diffusion_models/ | diffusion_models/ |
qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors | same repo, text_encoders/ | text_encoders/ |
minimax_h3_video_vae_fp16.safetensors | same repo, vae/ | vae/ |
minimax_h3_audio_vae_fp32.safetensors | same repo, vae/ | vae/ |
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors | huggingface.co/lightx2v/Minimax-h3-Turbo/resolve/main/minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors | loras/ |
minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors | huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors | loras/ |
z-image-txt2img skill)| File | Source | Target |
|---|---|---|
z_image_turbo_bf16.safetensors | huggingface.co/Comfy-Org/z_image_turbo — check repo for split_files path | diffusion_models/ |
z_image_base_bf16.safetensors | same family repo | diffusion_models/ |
qwen_3_4b.safetensors (Z-Image text encoder) | Comfy-Org repackage, split_files/text_encoders/ | text_encoders/ |
Use download_model({ action: "download_civitai", model_id }). It resolves the latest version and
handles auth:
| Model | CivitAI |
|---|---|
| RedCraft RedZ ImageDX | civitai.com/models/958009 |
| Qwen Ultimate Realism v1.1 | civitai.com/models/2027494 |
| Copax Timeless | civitai.com/models/copaxTimeless (search by name) |
HUGGINGFACE_TOKEN after accepting the
license, or CIVITAI_API_TOKEN for early-access CivitAI files.models/
subdir; check the Target column and model-compatibility.download_model call after a network drop.comfy/model_management.py and quant metadata in comfy/quant_ops.py.
anthropics/skills180kApplies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
AI 与智能体
anthropics/skills180kA set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
AI 与智能体
anthropics/skills180kanthropics/skills180kGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
AI 与智能体
anthropics/skills180kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
AI 与智能体
anthropics/skills180kStop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.
AI 与智能体