* Allow disabling pe in flux code for some other models.
* Initial Hunyuan3Dv2 implementation.
Supports the multiview, mini, turbo models and VAEs.
* Fix orientation of hunyuan 3d model.
* A few fixes for the hunyuan3d models.
* Update frontend to 1.13 (#7331)
* Add backend primitive nodes (#7328)
* Add backend primitive nodes
* Add control after generate to int primitive
* Nodes to convert images to YUV and back.
Can be used to convert an image to black and white.
* Update frontend to 1.14 (#7343)
* Native LotusD Implementation (#7125)
* draft pass at a native comfy implementation of Lotus-D depth and normal est
* fix model_sampling kludges
* fix ruff
---------
Co-authored-by: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com>
* Automatically set the right sampling type for lotus.
* support output normal and lineart once (#7290)
* [nit] Format error strings (#7345)
* ComfyUI version v0.3.27
* Fallback to pytorch attention if sage attention fails.
* Add model merging node for WAN 2.1
* Add Hunyuan3D to readme.
* Support more float8 types.
* Add CFGZeroStar node.
Works on all models that use a negative prompt but is meant for rectified
flow models.
* Support the WAN 2.1 fun control models.
Use the new WanFunControlToVideo node.
* Add WanFunInpaintToVideo node for the Wan fun inpaint models.
* Update frontend to 1.14.6 (#7416)
Cherry-pick the fix: https://github.com/Comfy-Org/ComfyUI_frontend/pull/3252
* Don't error if wan concat image has extra channels.
* ltxv: fix preprocessing exception when compression is 0. (#7431)
* Remove useless code.
* Fix latent composite node not working when source has alpha.
* Fix alpha channel mismatch on destination in ImageCompositeMasked
* Add option to store TE in bf16 (#7461)
* User missing (#7439)
* Ensuring a 401 error is returned when user data is not found in multi-user context.
* Returning a 401 error when provided comfy-user does not exists on server side.
* Fix comment.
This function does not support quads.
* MLU memory optimization (#7470)
Co-authored-by: huzhan <huzhan@cambricon.com>
* Fix alpha image issue in more nodes.
* Fix problem.
* Disable partial offloading of audio VAE.
* Add activations_shape info in UNet models (#7482)
* Add activations_shape info in UNet models
* activations_shape should be a list
* Support 512 siglip model.
* Show a proper error to the user when a vision model file is invalid.
* Support the wan fun reward loras.
---------
Co-authored-by: comfyanonymous <comfyanonymous@protonmail.com>
Co-authored-by: Chenlei Hu <hcl@comfy.org>
Co-authored-by: thot experiment <94414189+thot-experiment@users.noreply.github.com>
Co-authored-by: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com>
Co-authored-by: Terry Jia <terryjia88@gmail.com>
Co-authored-by: Michael Kupchick <michael@lightricks.com>
Co-authored-by: BVH <82035780+bvhari@users.noreply.github.com>
Co-authored-by: Laurent Erignoux <lerignoux@gmail.com>
Co-authored-by: BiologicalExplosion <49753622+BiologicalExplosion@users.noreply.github.com>
Co-authored-by: huzhan <huzhan@cambricon.com>
Co-authored-by: Raphael Walker <slickytail.mc@gmail.com>
The idea is that you can indicate how much quality vs speed you want.
At the moment:
--fast 2 enables fp16 accumulation if your pytorch supports it.
--fast 5 enables fp8 matrix mult on fp8 models and the optimization above.
--fast without a number enables all optimizations.
I'm not not sure which arches are supported yet. If you see improvements in
memory usage while using --use-pytorch-cross-attention on your AMD GPU let
me know and I will add it to the list.
* Fix for running via DirectML
Fix DirectML empty image generation issue with Flux1. add CPU fallback for unsupported path. Verified the model works on AMD GPUs
* fix formating
* update casual mask calculation
I think the issue this was working around has been solved.
If you notice that this change slows things down or causes stutters on
your AMD GPU with ROCm on Linux please report it.
* Add oneAPI device selector and some other minor changes.
* Fix device selector variable name.
* Flip minor version check sign.
* Undo changes to README.md.
This should make it possible to do higher res images/longer videos by
further offloading weights to CPU memory.
Please report an issue if this slows down things on your system.
Now the only symptom of code messing up and keeping references to a model
object when it should not will be endless prints in the log instead of the
next workflow crashing ComfyUI.
* Less fragile memory management.
* Fix issue.
* Remove useless function.
* Prevent and detect some types of memory leaks.
* Run garbage collector when switching workflow if needed.
* Fix issue.
