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Wan2GP: Failed to download FFmpeg binaries automatically: 403 Client Error: rate limit exceeded for url…

@davidmposted 8/21/2026, 9:13:00 AM·0 replies

App: Wan2GP (wan.git)
Repo: https://github.com/pinokiofactory/wan.git
Generated: 2026-08-21T09:12:19.395Z
Pinokio: 8.0.40
Platform: win32 x64
Node: v22.21.1

Summary

System

{
  "pinokio": {
    "version": "8.0.40",
    "node": "v22.21.1",
    "platform": "win32",
    "arch": "x64"
  },
  "hardware": {
    "gpu": "nvidia",
    "gpu_model": "nvidia geforce mx130",
    "ram_gb": 8,
    "vram_gb": 2
  },
  "os": {
    "platform": "Windows",
    "distro": "Microsoft Windows 11 Pro",
    "release": "10.0.26200",
    "codename": "25H2",
    "kernel": "10.0.26200",
    "arch": "x64",
    "build": "26200",
    "servicepack": "0.0",
    "uefi": true
  },
  "system": {
    "manufacturer": "HP",
    "model": "HP ProBook 450 G6",
    "version": "SBKPFV3",
    "virtual": false
  },
  "cpu": {
    "manufacturer": "Intel",
    "brand": "Core™ i5-8265U",
    "vendor": "GenuineIntel",
    "family": "6",
    "model": "142",
    "stepping": "12",
    "speed": 1.6,
    "speedMin": 1.6,
    "speedMax": 1.8,
    "cores": 8,
    "physicalCores": 4,
    "processors": 1,
    "performanceCores": 8,
    "efficiencyCores": 0,
    "virtualization": true,
    "cache": {
      "l1d": 128,
      "l1i": 128,
      "l2": 1048576,
      "l3": 6291456
    }
  },
  "memory": {
    "total": 8420798464,
    "free": 2247016448,
    "used": 6173777920,
    "active": 6173765632,
    "available": 2247032832,
    "buffers": 0,
    "cached": 0,
    "slab": 0,
    "buffcache": 0,
    "swaptotal": 4563402752,
    "swapused": 91226112,
    "swapfree": 4472176640
  },
  "gpus": [
    {
      "model": "nvidia geforce mx130"
    },
    {
      "model": "intel(r) uhd graphics 620"
    }
  ],
  "graphics": {
    "controllers": [
      {
        "vendor": "NVIDIA",
        "model": "NVIDIA GeForce MX130",
        "bus": "PCI",
        "vram": 2048,
        "vramDynamic": false,
        "driverVersion": "582.53"
      },
      {
        "vendor": "Intel Corporation",
        "model": "Intel(R) UHD Graphics 620",
        "bus": "PCI",
        "vram": 1024,
        "vramDynamic": true
      }
    ],
    "displays": [
      {
        "model": "Default Monitor",
        "main": true,
        "builtin": true,
        "connection": "INTERNAL",
        "currentResX": 1366,
        "currentResY": 768,
        "resolutionX": 1366,
        "resolutionY": 768,
        "pixelDepth": 32,
        "currentRefreshRate": 60
      }
    ]
  }
}

Logs

logs/api/start.js/1787300605721

Source: api / start.js
Lines: 26 total, last 26 included

[api shell.run]
Microsoft Windows [Version 10.0.26200.9168]
(c) Microsoft Corporation. All rights reserved.

C:\pinokio\api\wan.git\app>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & C:\pinokio\api\wan.git\app\venv\Scripts\activate C:\pinokio\api\wan.git\app\venv && python wgp.py --multiple-images --advanced
C:\pinokio\api\wan.git\app\venv\Lib\site-packages\torch\cuda\__init__.py:435: UserWarning: 
    Found GPU0 NVIDIA GeForce MX130 which is of cuda capability 5.0.
    Minimum and Maximum cuda capability supported by this version of PyTorch is
    (7.5) - (12.0)
    
  queued_call()
C:\pinokio\api\wan.git\app\venv\Lib\site-packages\torch\cuda\__init__.py:435: UserWarning: 
    Please install PyTorch with a following CUDA
    configurations:  12.6 following instructions at
    https://pytorch.org/get-started/locally/
    
  queued_call()
C:\pinokio\api\wan.git\app\venv\Lib\site-packages\torch\cuda\__init__.py:435: UserWarning: 
NVIDIA GeForce MX130 with CUDA capability sm_50 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_75 sm_80 sm_86 sm_90 sm_100 sm_120.
If you want to use the NVIDIA GeForce MX130 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

  queued_call()
[GGUF][llama.cpp CUDA] kernels unavailable, using fallback
Switching to FP16 models when possible as GPU architecture doesn't support optimed BF16 Kernels
Failed to download FFmpeg binaries automatically: 403 Client Error: rate limit exceeded for url: https://api.github.com/repos/GyanD/codexffmpeg/releases/latest
Replies (0)
Up to 10 files, 25MB each. Images are optimized; GIFs -> MP4; videos 720p (max 120s).
Wan2GP: Failed to download FFmpeg binaries automatically: 403 Client Error: rate limit exceeded for url… · Pinokio