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Wan 2.2, I2V, SVI 2 Pro enhance lightning, Riflex not working i guess!?!
App: Wan2GP (wan.git)
Repo: https://github.com/pinokiofactory/wan.git
Generated: 2026-08-26T11:35:14.778Z
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": "amd",
"gpu_model": "amd radeon rx 9070 xt",
"ram_gb": 64,
"vram_gb": 16
},
"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": "Micro-Star International Co., Ltd.",
"model": "MS-7C95",
"version": "1.0",
"virtual": false
},
"cpu": {
"manufacturer": "AMD",
"brand": "Ryzen 9 5900X 12-Core Processor",
"vendor": "AuthenticAMD",
"family": "25",
"model": "33",
"stepping": "2",
"revision": "8450",
"speed": 3.7,
"speedMin": 3.7,
"speedMax": 3.7,
"cores": 24,
"physicalCores": 12,
"processors": 1,
"performanceCores": 24,
"efficiencyCores": 0,
"virtualization": false,
"cache": {
"l1d": 384,
"l1i": 384,
"l2": 6291456,
"l3": 67108864
}
},
"memory": {
"total": 68641222656,
"free": 59738337280,
"used": 8902885376,
"active": 8902885376,
"available": 59738337280,
"buffers": 0,
"cached": 0,
"slab": 0,
"buffcache": 0,
"swaptotal": 13421772800,
"swapused": 146800640,
"swapfree": 13274972160
},
"gpus": [
{
"model": "amd radeon rx 9070 xt"
}
],
"graphics": {
"controllers": [
{
"vendor": "Advanced Micro Devices, Inc.",
"model": "AMD Radeon RX 9070 XT",
"bus": "PCI",
"vram": 16304,
"vramDynamic": true
}
],
"displays": [
{
"model": "SAMSUNG",
"main": true,
"builtin": false,
"connection": "HDMI",
"currentResX": 1280,
"currentResY": 720,
"resolutionX": 3840,
"resolutionY": 2160,
"pixelDepth": 32,
"currentRefreshRate": 29
}
]
}
}
Logs
logs/api/start.js/1787741971398
Source: api / start.js
Lines: 38 total, last 38 included
[api shell.run]
Microsoft Windows [Version 10.0.26200.9168]
(c) Microsoft Corporation. All rights reserved.
d:\pinokio\api\wan.git\app>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & d:\pinokio\api\wan.git\app\venv\Scripts\activate d:\pinokio\api\wan.git\app\venv && python wgp.py --multiple-images --advanced
[GGUF][llama.cpp CUDA] kernels unavailable, using fallback
Loaded plugin: Motion Designer (from motion_designer)
* Running on local URL: http://127.0.0.1:42003
* To create a public link, set `share=True` in `launch()`.
Loading Model 'ckpts\wan22EnhancedLightning_v2I2VFP8HIGH.safetensors' ...
Loading Model 'ckpts\wan22EnhancedLightning_v2I2VFP8LOW.safetensors' ...
Loading Text Encoder 'ckpts\umt5-xxl\models_t5_umt5-xxl-enc-quanto_int8.safetensors' ...
************ Memory Management for the GPU Poor (mmgp 3.7.14) by DeepBeepMeep ************
Switching to partial pinning since full requirements for pinned models is 33930.9 MB while estimated available reservable RAM is 26184.5 MB. You may increase the value of parameter 'perc_reserved_mem_max' to a value higher than 0.40 to force full pinnning.
Partial pinning of data of 'transformer' to reserved RAM
The model was partially pinned to reserved RAM: 60 large blocks spread across 13409.26 MB
Hooked to model 'transformer' (WanModel)
Async loading plan for model 'transformer' : base size of 3.16 MB will be preloaded with a 335.23 MB async circular shuttle
Partial pinning of data of 'vae' to reserved RAM
The model was partially pinned to reserved RAM: 1 large blocks spread across 178.03 MB
Hooked to model 'vae' (WanVAE_)
Partial pinning of data of 'text_encoder' to reserved RAM
The model was partially pinned to reserved RAM: 20 large blocks spread across 4442.29 MB
Hooked to model 'text_encoder' (T5Encoder)
Async loading plan for model 'text_encoder' : base size of 2003.01 MB will be preloaded with a 184.10 MB async circular shuttle
Partial pinning of data of 'transformer2' to reserved RAM
The model was partially pinned to reserved RAM: 37 large blocks spread across 8045.56 MB
Hooked to model 'transformer2' (WanModel)
Async loading plan for model 'transformer2' : base size of 3.16 MB will be preloaded with a 335.23 MB async circular shuttle
Lora 'loras\wan\SVI_Wan2.2-I2V-A14B_high_noise_lora_v2.0_pro.safetensors' was loaded in model 'models.wan.modules.model'
Lora 'loras\wan\SVI_Wan2.2-I2V-A14B_low_noise_lora_v2.0_pro.safetensors' was loaded in model 'models.wan.modules.model'
Unable to pin data of 'loras\wan\SVI_Wan2.2-I2V-A14B_high_noise_lora_v2.0_pro.safetensors,loras\wan\SVI_Wan2.2-I2V-A14B_low_noise_lora_v2.0_pro.safetensors' to reserved RAM as there is no reserved RAM left. Transfer speed from RAM to VRAM will may be slower.
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 8/8 [07:20<00:00, 55.02s/steps]
Video file saved to Path: outputs\2026-08-26-16h50m54s_seed513651283_An uninterrupted, longshot, photorealistic, cinema.mp4
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 8/8 [06:20<00:00, 47.54s/steps]
Video file saved to Path: outputs\2026-08-26-16h59m30s_seed513651283_An uninterrupted, longshot, photorealistic, cinema.mp4
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 8/8 [00:51<00:00, 6.38s/steps]
Video file saved to Path: outputs\2026-08-26-17h00m47s_seed513651283_An uninterrupted, longshot, photorealistic, cinema.mp4
Replies (0)
Up to 10 files, 25MB each. Images are optimized; GIFs -> MP4; videos 720p (max 120s).
