Comments (5)
strint
commented on August 23, 2024
Please have a try:
- update nexfort
- export NEXFORT_FUSE_TIMESTEP_EMBEDDING=0
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zhangvia
commented on August 23, 2024
thanks, it worked
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strint
commented on August 23, 2024
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lixiang007666
commented on August 23, 2024
As you tried, the issue appears in torch 2.3.0 but does not occur in the nightly version. However, this bug has been fixed in the latest nexfort release. It can now be used on torch 2.3.0 as well.
Additionally, the NEXFORT_FUSE_TIMESTEP_EMBEDDING is turned on by default. If you encounter a failure in the fuse timestep_embedding optimization, you can try turning off this switch.
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zhangvia
commented on August 23, 2024
i try the 0.1.dev260, there is still error. after set the environment variables, the error gone
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Related Issues (20)
- SD1.5的UNet2DConditionModel 额外增加输入模块后使用nexfort接口进行编译报错 HOT 10
- [Bug] undefined symbol: __nvJitLinkAddData_12_5, version libnvJitLink.so.12 HOT 4
- kolors got poor results when text encoder quantize[Bug] HOT 9
- [Bug] ComfyUI中使用 Model Graph Saver 节点不能保存正确的graph HOT 8
- Add acceleration support for FLUX models HOT 8
- [Bug] unet + Controlnet compile fail HOT 17
- [Bug] Nexfort isn't compatible with PyTorch 2.4.0 HOT 9
- [Bug] onediff-webui-extension ejoom with controlnet HOT 1
- [Bug] name 'is_disable_oneflow_backend' is not defined HOT 2
- [Bug] Random Segmentation Faults During OneDiff (OneFlow) Inference in Multi-threaded Python Program HOT 1
- [Bug] IPA 工作流切换到普通文生图工作流再切到 IPA 工作流生图后异常报错导致 ComfyUI 重启
- [Bug] !!! Exception during processing!!!
- [Bug] comfyui_ipa HOT 2
- 如何使用该节点在comfyui内加速kolors模型
- [Bug] The second API call will fail after switching model from SD to SDXL, vice versa.
- A10(24G) 运行720x1280尺寸的animatediff带controlnet的视频生成，总是OOM
- Each pipe run generates different image (run with the same params and seed)
- about Nexfort compile cache HOT 3
- I would like to inquire about the principles and specific implementation methods of this project.
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