* convert Google Veo API node to the V3 schema
* use own full io.Schema for Veo3VideoGenerationNode
* fixed typo
* use auth_kwargs instead of auth_token/comfy_api_key
These are not real controlnets but actually a patch on the model so they
will be treated as such.
Put them in the models/model_patches/ folder.
Use the new ModelPatchLoader and QwenImageDiffsynthControlnet nodes.
* P2 of qwen edit model.
* Typo.
* Fix normal qwen.
* Fix.
* Make the TextEncodeQwenImageEdit also set the ref latent.
If you don't want it to set the ref latent and want to use the
ReferenceLatent node with your custom latent instead just disconnect the
VAE.
This node is only useful if someone trains the kontext model to properly
use multiple reference images via the index method.
The default is the offset method which feeds the multiple images like if
they were stitched together as one. This method works with the current
flux kontext model.
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
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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.
