- Create new Veo3VideoGenerationNode that extends VeoVideoGenerationNode
- Add support for generateAudio parameter (only for Veo3 models)
- Support new Veo3 models: veo-3.0-generate-001, veo-3.0-fast-generate-001
- Fix Veo3 duration constraint to 8 seconds only
- Update original node to be clearly Veo 2 only
- Update API paths to use model parameter: /proxy/veo/{model}/generate
- Regenerate API types from staging to include generateAudio parameter
- Fix TripoModelVersion enum reference after regeneration
- Mark generated API types file in .gitattributes
When a prompt is submitted, it can optionally include
`partial_execution_targets` as a list of ids. If it does, rather than
adding all outputs to the execution list, we add only those in the list.
- the model weights generally have to be patched ahead of time for compilation to work
- the model downloader matches the folder_paths API a bit better
- tweak the logging from the execution node
- GGUF now works and included 4 bit quants, this will allow WAN to run on 24GB VRAM GPUs
- logger only shows full stack for errors
- helper functions for colab notebook
- fix nvcr.io auth error
- lora issues are now reported better
- model downloader will use huggingface cache and symlinking if it is supported on your platform
- torch compile node now correctly patches the model before compilation
* ComfyAPI Core v0.0.2
* Respond to PR feedback
* Fix Python 3.9 errors
* Fix missing backward compatibility proxy
* Reorganize types a bit
The input types, input impls, and utility types are now all available in
the versioned API. See the change in `comfy_extras/nodes_video.py` for
an example of their usage.
* Remove the need for `--generate-api-stubs`
* Fix generated stubs differing by Python version
* Fix ruff formatting issues
- add xet support and add the xet cache to manageable directories
- xet is enabled by default
- fix logging to root in various places
- improve logging about model unloading and loading
- TorchCompileNode now supports the VAE
- torchaudio missing will cause less noise in the logs
- feature flags will assume to be supporting everything in the distributed progress context
- fixes progress notifications
