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.
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Review the instructions the agent will receive before you install.
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.No reviews yet. Tell others what you thought.
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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.
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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
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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
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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).
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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.
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Core ComfyUI knowledge covering workflow format, node types, pipeline patterns, and MCP tool usage
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