Comments (2)
SuperSecureHuman
commented on June 15, 2024
Stable fast is faster - its closer to TensorRT speeds actually
https://github.com/chengzeyi/stable-fast#performance-comparison
I believe quantizationis already there (?) https://github.com/chengzeyi/stable-fast#model-quantization
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chengzeyi
commented on June 15, 2024
@dsingal0 Stable fast should be faster, and deliver higher generation quality.
@SuperSecureHuman Quantization is partially supported in stable-fast, but is not really efficient in speed, unfortuantely. To make it effeicient, some CUDA kernels must be carefully written.
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Related Issues (20)
- FP8 support in stable fast HOT 6
- Installation failed with an error HOT 2
- How can I load the whole model from the compiled one instead of loading only the unet to current existing sd model?
- Issue of too much recompilation after modification of cross attention processor HOT 1
- can stable fast used with diffusers device_map='auto' HOT 1
- v1.0.4 release contains the prebuilt binary for 1.0.3
- Triton group normalization is slower than torch ops in some case. HOT 1
- xformers 25 removes Triton fmha and completely breaks stable-fast, with fix (MemoryEfficientAttentionTritonFwdFlashBwOp, TritonFlashAttentionOp)
- 切换ControlNets HOT 1
- Changing working device will cause problem HOT 3
- [Bug] MemoryEfficientAttentionTritonFwdFlashBwOp no longer availale HOT 1
- opening enable_cuda_graph only support two different size image when reference HOT 2
- Support IP-Adapters
- enable_cuda_graph 影响Lora的切换 HOT 1
- 请问一下谁可以共享一下在config.enable_cuda_graph = True的情况下切换Lora已经可用的Demo嘛 HOT 7
- Install fatal error C1083: windows11 HOT 6
- Stable-fast compatibility with lightning models HOT 1
- gcc "-std=99" may need to be declared in code
- Would stable-fast support (really) old models?
- when run powerpaint with brushnet it can't suceess ant print logs HOT 1
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