5.3 KiB
5.3 KiB
Current ComfyUI Install
Last audited: 2026-06-29
Canonical Paths
- Portable root:
D:\AI\ComfyUI_windows_portable - ComfyUI root:
D:\AI\ComfyUI_windows_portable\ComfyUI - Downloads:
D:\AI\Downloads - CPU launcher:
D:\AI\ComfyUI_windows_portable\run_cpu.bat - GPU launcher:
D:\AI\ComfyUI_windows_portable\run_nvidia_gpu.bat - Local URL:
http://127.0.0.1:8188/
Installed State
- ComfyUI version:
v0.26.0 - ComfyUI commit:
f6c162d - Portable archive:
D:\AI\Downloads\ComfyUI_windows_portable_nvidia_v0.26.0.7z - Archive SHA256:
93467D18D960BF1323A24F9998E6C6D328386B2AAFDECD6EF95BE4EEE01645CD - Portable Python:
3.13.12 - Portable PyTorch:
2.12.0+cu130 - Validation: CPU mode starts and
http://127.0.0.1:8188/returns ComfyUI.
Hardware And GPU Status
- GPU: NVIDIA GeForce RTX 2060, 6 GB VRAM
- NVIDIA driver:
546.59 nvidia-smireports CUDA support up to12.3- Current portable PyTorch uses CUDA
13.0 - Result: GPU mode is blocked until the NVIDIA driver is updated to a version compatible with the CUDA runtime used by the installed PyTorch build. CPU mode is usable.
Known GPU failure signature:
cudaGetDeviceCount cudaErrorNotSupported
Fatal Python error: access violation
Custom Nodes
Installed under D:\AI\ComfyUI_windows_portable\ComfyUI\custom_nodes.
| Node | Commit | Purpose |
|---|---|---|
ComfyUI-Manager |
8da299d |
Node/package management |
ComfyUI-GGUF |
6ea2651 |
GGUF low-VRAM model loading |
ComfyUI-WanVideoWrapper |
088128b |
Wan video workflows and wrappers |
ComfyUI-KJNodes |
bc8e4ce |
Utility/video workflow nodes |
ComfyUI-VideoHelperSuite |
4ee72c0 |
Video loading/saving helpers |
Dependency notes:
- Installed requirements for the listed custom nodes into portable Python.
- Optional packages installed include
onnx,onnxruntime,sageattention, andtriton-windows. - Remaining startup warnings are GPU/CUDA related or ComfyUI API deprecation warnings; they were non-blocking during CPU validation.
Model Inventory
Approximate model directory totals from the last audit:
| Directory | Files | Size |
|---|---|---|
diffusion_models |
25 | 319.11 GB |
text_encoders |
2 | 6.27 GB |
vae |
3 | 1.55 GB |
clip_vision |
2 | 1.18 GB |
vae_approx |
11 | 0.06 GB |
Diffusion Models
Located in D:\AI\ComfyUI_windows_portable\ComfyUI\models\diffusion_models.
| File | Approx Size | Notes |
|---|---|---|
wan2.2_ti2v_5B_fp16.safetensors |
9.313 GB | Official TI2V 5B |
wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors |
13.312 GB | Official T2V high-noise FP8 |
wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors |
13.312 GB | Official T2V low-noise FP8 |
wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors |
13.313 GB | Official I2V high-noise FP8 |
wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors |
13.313 GB | Official I2V low-noise FP8 |
Wan2_2-T2V-A14B-HIGH-HoloCine-full_fp8_e4m3fn_scaled_KJ.safetensors |
13.971 GB | Anime/cinematic T2V high |
Wan2_2-T2V-A14B-LOW-HoloCine-full_fp8_e4m3fn_scaled_KJ.safetensors |
13.971 GB | Anime/cinematic T2V low |
Wan2_2-I2V_AniSoraV3_2_HIGH_14B_fp8_e4m3fn_scaled_KJ.safetensors |
13.973 GB | Anime I2V high |
Wan2_2-I2V_AniSoraV3_2_LOW_14B_fp8_e4m3fn_scaled_KJ.safetensors |
13.973 GB | Anime I2V low |
wan2.2_s2v_14B_fp8_scaled.safetensors |
15.269 GB | S2V |
wan2.2_animate_14B_bf16.safetensors |
32.177 GB | Animate |
wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors |
13.314 GB | Fun-Control high |
wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors |
13.314 GB | Fun-Control low |
wan2.2_fun_inpaint_high_noise_14B_fp8_scaled.safetensors |
13.313 GB | Fun-Inpaint high |
wan2.2_fun_inpaint_low_noise_14B_fp8_scaled.safetensors |
13.313 GB | Fun-Inpaint low |
wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors |
14.251 GB | Fun-Camera high |
wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors |
14.251 GB | Fun-Camera low |
wan2.2_fun_vace_high_noise_14B_fp8_scaled.safetensors |
16.155 GB | Fun-VACE high |
wan2.2_fun_vace_low_noise_14B_fp8_scaled.safetensors |
16.155 GB | Fun-VACE low |
Wan2.2-TI2V-5B-Q4_K_M.gguf |
3.197 GB | Low-VRAM GGUF |
Wan2.2-T2V-A14B-HighNoise-Q4_K_M.gguf |
8.987 GB | Low-VRAM GGUF |
Wan2.2-T2V-A14B-LowNoise-Q4_K_M.gguf |
8.987 GB | Low-VRAM GGUF |
Wan2.2-I2V-A14B-HighNoise-Q4_K_M.gguf |
8.989 GB | Low-VRAM GGUF |
Wan2.2-I2V-A14B-LowNoise-Q4_K_M.gguf |
8.989 GB | Low-VRAM GGUF |
Shared Models
models\text_encoders\umt5_xxl_fp8_e4m3fn_scaled.safetensors- 6.273 GBmodels\vae\wan2.2_vae.safetensors- 1.313 GBmodels\vae\wan_2.1_vae.safetensors- 0.236 GBmodels\clip_vision\open-clip-xlm-roberta-large-vit-huge-14_visual_fp16.safetensors- 1.177 GBmodels\vae_approx\taew2_1.safetensors- 0.021 GBmodels\vae_approx\taew2_2.safetensors- 0.021 GB
Maintenance Notes
- Use
HF_HUB_DISABLE_XET=1when Hugging Face Xet/CAS downloads stall or return authorization errors. - Prefer FP8 or GGUF variants for the RTX 2060 6 GB environment; avoid duplicate BF16/FP16 downloads unless a workflow specifically needs them.
- After installing or updating models, remove stale
.incompleteor.lockfiles only when no download process is running. - Update this file whenever ComfyUI version, custom node commits, Python packages, GPU status, or model inventory changes.