Curated download URLs and target directories for every model the comfyui-mcp skills reference — checkpoints, VAEs, text encoders, LoRAs — organized by family (Flux, WAN, LTX, Qwen, Z-Image, SD15/SDXL). Use when downloading models with download_model / download_civitai_model, when a workflow fails with a missing-model error, or when setting up a new machine.
npx skills add https://github.com/artokun/comfyui-mcp --skill model-registry
One table per family: filename → source URL → target subdir under
<COMFYUI>/models/. Use with download_model(url, target_subfolder, filename).
This registry grows with every release — if a model you need is missing, use
search_models (HuggingFace) or download_civitai_model and consider
contributing the row.
Conventions
https://huggingface.co/<repo>/resolve/main/<path>HUGGINGFACE_TOKEN (accept the license on the HF page first)download_civitai_model (resolves version → file); raw civitai.com/api/download/... URLs work with download_model + 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 download_civitai_model) | 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/ |
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_civitai_model(model_id) — it resolves the latest version and
handles auth:
| Model | CivitAI |
|---|---|
| RedCraft RedZ ImageDX | civitai.com/models/958009 |
| (2027494 entry in model-settings.json) | civitai.com/models/2027494 |
| Copax Timeless | civitai.com/models/copaxTimeless (search by name) |
find the file under "Files", and rebuild the resolve URL.
HUGGINGFACE_TOKEN after accepting thelicense, 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.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating 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.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take artokun/model-registry from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.