第六十篇-ComfyUI+V100-32G+运行Wan2.2-图生视频

环境

系统：CentOS-7 CPU : E5-2680V4 14核28线程 内存：DDR4 2133 32G * 2 显卡：Tesla V100-32G【PG503】 (水冷) 驱动: 535 CUDA: 12.2 ComfyUI version: 0.4.0 ComfyUI frontend version: 1.34.8

系统软件信息

系统信息 OS linux Python Version 3.12.12 | packaged by Anaconda, Inc. | (main, Oct 21 2025, 20:16:04) [GCC 11.2.0] Embedded Python false Pytorch Version 2.9.1+cu128 Arguments main.py --listen --port 8188 --cuda-malloc --lowvram RAM Total 62.68 GB RAM Free 60.25 GB

启动

python main.py --listen --port8188--cuda-malloc --lowvram ```# 模版![在这里插入图片描述](https://i-blog.csdnimg.cn/direct/8576d16dd94d4115ae0c4eb8d8525a88.png)Wan2.214B图生视频```bash https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors

配置参数

可以使用迅雷单独下载文件
Setp2 选择文件上传，上传一张图片
点击运行

运行数据

视频尺寸调整 720*1280
GPU

Mon Dec1523:45:382025+---------------------------------------------------------------------------------------+|NVIDIA-SMI535.129.03 Driver Version:535.129.03 CUDA Version:12.2||-----------------------------------------+----------------------+----------------------+|GPU Name Persistence-M|Bus-Id Disp.A|Volatile Uncorr. ECC||Fan Temp Perf Pwr:Usage/Cap|Memory-Usage|GPU-Util Compute M.||||MIG M.||=========================================+======================+======================||0Tesla PG503-216 On|00000000:04:00.0 Off|0||N/A 38C P0 234W / 250W|23024MiB / 32768MiB|100% Default||||N/A|+-----------------------------------------+----------------------+----------------------+

时间

loaded completely;95367431640625005117571072.00MB usable,6419.49MB loaded, full load: True CLIP/text encoder model load device: cpu, offload device: cpu, current: cpu, dtype: torch.float16 Requested to load WanVAE loaded completely;21176.38MB usable,242.03MB loaded, full load: True Found quantization metadata version1Detected mixed precision quantization Using mixed precision operations model weight dtype torch.float16, manual cast: torch.float16 model_type FLOW unet unexpected:['scaled_fp8']Requested to load WAN21 loaded completely;17787.26MB usable,13631.43MB loaded, full load: True100%|███████████████████████████████████████████████████████████████████████|2/2[05:55<00:00,177.72s/it]Found quantization metadata version1Detected mixed precision quantization Using mixed precision operations model weight dtype torch.float16, manual cast: torch.float16 model_type FLOW unet unexpected:['scaled_fp8']Requested to load WAN21 loaded completely;17787.26MB usable,13631.43MB loaded, full load: True100%|███████████████████████████████████████████████████████████████████████|2/2[05:55<00:00,177.85s/it]Requested to load WanVAE loaded completely;5784.79MB usable,242.03MB loaded, full load: True Prompt executedin00:16:35

效果

动态的5秒视频

总结

V100-32G Wan2.2 生成1280*720的5秒视频用时16分钟，最大24G显存 效果还是挺好，生成时间长了点其他还好。