Derive InterruptProcessingException from BaseException#13523
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* fix: pin SQLAlchemy>=2.0 in requirements.txt (fixes #13036) (#13316) * Refactor io to IO in nodes_ace.py (#13485) * Bump comfyui-frontend-package to 1.42.12 (#13489) * Make the ltx audio vae more native. (#13486) * feat(api-nodes): add automatic downscaling of videos for ByteDance 2 nodes (#13465) * Support standalone LTXV audio VAEs (#13499) * [Partner Nodes] added 4K resolution for Veo models; added Veo 3 Lite model (#13330) * feat(api nodes): added 4K resolution for Veo models; added Veo 3 Lite model Signed-off-by: bigcat88 <bigcat88@icloud.com> * increase poll_interval from 5 to 9 --------- Signed-off-by: bigcat88 <bigcat88@icloud.com> Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com> * Bump comfyui-frontend-package to 1.42.14 (#13493) * Add gpt-image-2 as version option (#13501) * Allow logging in comfy app files. (#13505) * chore: update workflow templates to v0.9.59 (#13507) * fix(veo): reject 4K resolution for veo-3.0 models in Veo3VideoGenerationNode (#13504) The tooltip on the resolution input states that 4K is not available for veo-3.1-lite or veo-3.0 models, but the execute guard only rejected the lite combination. Selecting 4K with veo-3.0-generate-001 or veo-3.0-fast-generate-001 would fall through and hit the upstream API with an invalid request. Broaden the guard to match the documented behavior and update the error message accordingly. Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com> * feat: RIFE and FILM frame interpolation model support (CORE-29) (#13258) * initial RIFE support * Also support FILM * Better RAM usage, reduce FILM VRAM peak * Add model folder placeholder * Fix oom fallback frame loss * Remove torch.compile for now * Rename model input * Shorter input type name --------- * fix: use Parameter assignment for Stable_Zero123 cc_projection weights (fixes #13492) (#13518) On Windows with aimdo enabled, disable_weight_init.Linear uses lazy initialization that sets weight and bias to None to avoid unnecessary memory allocation. This caused a crash when copy_() was called on the None weight attribute in Stable_Zero123.__init__. Replace copy_() with direct torch.nn.Parameter assignment, which works correctly on both Windows (aimdo enabled) and other platforms. * Derive InterruptProcessingException from BaseException (#13523) * bump manager version to 4.2.1 (#13516) * ModelPatcherDynamic: force cast stray weights on comfy layers (#13487) the mixed_precision ops can have input_scale parameters that are used in tensor math but arent a weight or bias so dont get proper VRAM management. Treat these as force-castable parameters like the non comfy weight, random params are buffers already are. * Update logging level for invalid version format (#13526) * [Partner Nodes] add SD2 real human support (#13509) * feat(api-nodes): add SD2 real human support Signed-off-by: bigcat88 <bigcat88@icloud.com> * fix: add validation before uploading Assets Signed-off-by: bigcat88 <bigcat88@icloud.com> * Add asset_id and group_id displaying on the node Signed-off-by: bigcat88 <bigcat88@icloud.com> * extend poll_op to use instead of custom async cycle Signed-off-by: bigcat88 <bigcat88@icloud.com> * added the polling for the "Active" status after asset creation Signed-off-by: bigcat88 <bigcat88@icloud.com> * updated tooltip for group_id * allow usage of real human in the ByteDance2FirstLastFrame node * add reference count limits * corrected price in status when input assets contain video Signed-off-by: bigcat88 <bigcat88@icloud.com> --------- Signed-off-by: bigcat88 <bigcat88@icloud.com> * feat: SAM (segment anything) 3.1 support (CORE-34) (#13408) * [Partner Nodes] GPTImage: fix price badges, add new resolutions (#13519) * fix(api-nodes): fixed price badges, add new resolutions Signed-off-by: bigcat88 <bigcat88@icloud.com> * proper calculate the total run cost when "n > 1" Signed-off-by: bigcat88 <bigcat88@icloud.com> --------- Signed-off-by: bigcat88 <bigcat88@icloud.com> * chore: update workflow templates to v0.9.61 (#13533) * chore: update embedded docs to v0.4.4 (#13535) * add 4K resolution to Kling nodes (#13536) Signed-off-by: bigcat88 <bigcat88@icloud.com> * Fix LTXV Reference Audio node (#13531) * comfy-aimdo 0.2.14: Hotfix async allocator estimations (#13534) This was doing an over-estimate of VRAM used by the async allocator when lots of little small tensors were in play. Also change the versioning scheme to == so we can roll forward aimdo without worrying about stable regressions downstream in comfyUI core. * Disable sageattention for SAM3 (#13529) Causes Nans * execution: Add anti-cycle validation (#13169) Currently if the graph contains a cycle, the just inifitiate recursions, hits a catch all then throws a generic error against the output node that seeded the validation. Instead, fail the offending cycling mode chain and handlng it as an error in its own right. Co-authored-by: guill <jacob.e.segal@gmail.com> * chore: update workflow templates to v0.9.62 (#13539) --------- Signed-off-by: bigcat88 <bigcat88@icloud.com> Co-authored-by: Octopus <liyuan851277048@icloud.com> Co-authored-by: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com> Co-authored-by: Comfy Org PR Bot <snomiao+comfy-pr@gmail.com> Co-authored-by: Alexander Piskun <13381981+bigcat88@users.noreply.github.com> Co-authored-by: Jukka Seppänen <40791699+kijai@users.noreply.github.com> Co-authored-by: AustinMroz <austin@comfy.org> Co-authored-by: Daxiong (Lin) <contact@comfyui-wiki.com> Co-authored-by: Matt Miller <matt@miller-media.com> Co-authored-by: blepping <157360029+blepping@users.noreply.github.com> Co-authored-by: Dr.Lt.Data <128333288+ltdrdata@users.noreply.github.com> Co-authored-by: rattus <46076784+rattus128@users.noreply.github.com> Co-authored-by: guill <jacob.e.segal@gmail.com>
This tiny change is intended to prevent user code from doing something like:
This breaks interrupt processing, because
throw_exception_if_processing_interruptedclears the interrupt flag when it raises the exception. So the user's request to cancel the job is simply ignored and processing continues.People should never be using that pattern in the first place, but it's actually not completely obvious that catching an exception in this way in something like a model patch would cause this kind of breakage.
I realized this was an issue because I'd been having a problem with my cancel requests being ignored and it was driving me crazy. Unfortunately, the culprit in that case was doing
except:with no class, and this change won't help there.The only direct uses of this exception in ComfyUI are catching it (or throwing it in this one place) explicitly, which will be exactly the same whether it subclasses
ExceptionorBaseException. I have a lot of custom nodes installed and the only use I could find was catching it explicitly. I can't think of a way this change could cause issues and it makes it harder for extensions to break ComfyUI's core features.