Merging the latest master changes from the original repo #3
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@fksato |
ghost
self-assigned this
ghost
marked this pull request as draft
now works with arbitrary downscale factors
* Add /logs/raw and /logs/subscribe for getting logs on frontend Hijacks stderr/stdout to send all output data to the client on flush * Use existing send sync method * Fix get_logs should return string * Fix bug * pass no server * fix tests * Fix output flush on linux
* fix --cuda-device arg for AMD/HIP devices CUDA_VISIBLE_DEVICES is ignored for HIP devices/backend. Instead it uses HIP_VISIBLE_DEVICES. Setting this environment variable has no side effect for CUDA/NVIDIA so it can safely be set in any case and vice versa. * deleted accidental if
* Update web content to release v1.3.44 * nit
This one should work for skipping the single layers of models like Flux and Auraflow. If you want to see how these models work and how many double/single layers they have see the "ModelMerge*" nodes for the specific model.
* Update UI ScreenShot in README * Remove legacy UI screenshot file * nit * nit
Useful for models utilizing ztSNR. See: https://arxiv.org/abs/2409.15997
If this breaks something for you make an issue.
Co-authored-by: huchenlei <[email protected]>
* Use `torch.special.expm1` This function provides greater precision than `exp(x) - 1` for small values of `x`. Found with TorchFix https://github.com/pytorch-labs/torchfix/ * Use non-alias
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Merging the latest master changes from the original repo