Turns out torch.compile has some gaps in context manager decorator
syntax support. I've sent patches to fix that in PyTorch, but it won't
be available for all the folks running older versions of PyTorch, hence
this trivial patch.
* Update default parameters for Moonvalley video nodes
- Changed default negative prompts to a more extensive list for both BaseMoonvalleyVideoNode and MoonvalleyVideo2VideoNode.
- Updated default guidance scale values for both nodes to enhance prompt adherence.
- Set a fixed default seed value for consistency in video generation.
* no message
* ruff fix
---------
Co-authored-by: thorsten <thorsten@tripod-digital.co.nz>
The checkbox for confirming custom node testing is now optional in both bug report and user support templates. This allows users to submit issues even if they haven't been able to test with custom nodes disabled, making the reporting process more accessible.
* Added initial support for basic context windows - in progress
* Add prepare_sampling wrapper for context window to more accurately estimate latent memory requirements, fixed merging wrappers/callbacks dicts in prepare_model_patcher
* Made context windows compatible with different dimensions; works for WAN, but results are bad
* Fix comfy.patcher_extension.merge_nested_dicts calls in prepare_model_patcher in sampler_helpers.py
* Considering adding some callbacks to context window code to allow extensions of behavior without the need to rewrite code
* Made dim slicing cleaner
* Add Wan Context WIndows node for testing
* Made context schedule and fuse method functions be stored on the handler instead of needing to be registered in core code to be found
* Moved some code around between node_context_windows.py and context_windows.py
* Change manual context window nodes names/ids
* Added callbacks to IndexListContexHandler
* Adjusted default values for context_length and context_overlap, made schema.inputs definition for WAN Context Windows less annoying
* Make get_resized_cond more robust for various dim sizes
* Fix typo
* Another small fix
* Change bf16 check and switch non-blocking to off default with option to force to regain speed on certain classes of iGPUs and refactor xpu check.
* Turn non_blocking off by default for xpu.
* Update README.md for Intel GPUs.
* fix(Kling Image API Node): do not pass "image_type" when no image
* fix(Kling Image API Node): raise client-side error when kling_v1 is used with reference image
