Brings in 18 commits from master so worksplit-multigpu does not regress
fixes that landed on main since the last sync:
- #13699 Hunyuan 3D 2.1 batch-size fixes (overlap with our own backport;
conflict resolved in favor of the shape>=2 gate that binds
swap_cfg_halves once and reuses it for the output swap-back)
- #14031 ModelPatcherDynamic lora reshape / backup restore fix
- #13802 Multi-threaded model load (memory_management / pinned_memory /
model_management / aimdo plumbing)
- #12679 lanczos single-channel tensor fix
- #14010 Stable Audio 3 support
- assorted partner-node, openapi, workflow-template, and tooling updates
Amp-Thread-ID: https://ampcode.com/threads/T-019e4a00-fe3d-76bd-a2f2-a8c8c4040082
Co-authored-by: Amp <amp@ampcode.com>
Two doc-only changes addressing minor CodeRabbit findings on PR #7063:
* cli_args.py: clarify --cuda-device help text to document the required comma-separated format ('0' or '0,1'), matching how the value is consumed by CUDA_VISIBLE_DEVICES in main.py.
* nodes_multigpu.py: add a docstring NOTE on the (currently unregistered) MultiGPUOptionsNode explaining that its relative_speed input is plumbed through to model_options['multigpu_options'] but is not yet consulted by the cond scheduler, which still uses uniform round-robin via next_available_device(). Wire relative_speed into the scheduler before re-enabling the node.
Amp-Thread-ID: https://ampcode.com/threads/T-019e43b8-8258-70fd-ab3a-53e4c97f85d5
Co-authored-by: Amp <amp@ampcode.com>
GPUOptionsGroup.clone() returns a new instance, but the return value was discarded, causing the node to mutate the upstream caller's group in-place. When multiple MultiGPU Options nodes share an input group, each node's additions would leak into earlier siblings. Assign the clone result back to gpu_options so each node owns its own copy.
Amp-Thread-ID: https://ampcode.com/threads/T-019e43b8-8258-70fd-ab3a-53e4c97f85d5
Co-authored-by: Amp <amp@ampcode.com>
* Move detection category under image category
* Add missing categories
* Move detection nodes to detection category
* Move save nodes to image root catefory
* Rename postprocessors
* Move mask category under image
* Move guiders category to parent level at root of sampling category
* Move custom_sampling category to parent level at the root of sampling category
* Modify description of LoRA loaders
* Fix node id SolidMask
* Move VOID Quadmask under image/mask
* Group compositing nodes under image/compositing
* Move load image as mask to image category for consistency with other load image nodes
* Align display name with Load Checkpoint
* Move dataset category under training category
* Rename Number Convert to Conver Number (verb first)
* Rename Canny node
* Revert wanBlockSwap + description
* Add description to RemoveBackground node
* Revert category update of dataset
Split GLB save logic out of nodes_hunyuan3d.py into a new nodes_save_3d.py, and extend the writer to support UVs, per-vertex colors, and embedded baseColor textures.
Extend the MESH type with optional uvs, vertex_colors, and texture fields so meshes can carry texture data through the graph.
Add pack_variable_mesh_batch / get_mesh_batch_item helpers and switch VoxelToMesh / VoxelToMeshBasic to use them so batches with differing vertex/face counts no longer fail at torch.stack.
* Initial HiDream01-image support
* Cleanup nodes
* Cleaner handling of empty placeholder models
* Remove snap_to_predefined, prefer tooltip for the trained resolutions
* Add model and block wrappers
* Fix shift tooltip
* Add node to work around the patch tile issue
Experimental, runs multiple passes with the patch grid offset and blends with various different methods.
* Qwen35 vision rotary_pos_emb cast fix
* Fix embedding layout type
* Some small optimizations
* Cleanup, don't need this fallback
* Prefix KV cache, cleanup
Bit of speed, reduce redundant code
* Get rid of redundant custom sampler, refactor noise scaling
Our existing lcm sampler is mathematically same, just added the missing options to it instead and a node to control them. Refactored the noise scaling and fix it for the stochastic samplers, add a generic node to control the initial noise scale.
* Update nodes_hidream_o1.py
* Fix some cache validation cases
* Keep existing sampling params
* Remove redundant video vision path
* Replace some numpy ops with torch
* Fx RoPE index for batch size > 1
* Prefer torch preprocessing
* Rename block_type to be compatible with existing patch nodes
* Fixes and tweaks
* Add Boolean support to math expressions
* Change boolean result test to assert values
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Co-authored-by: Alexis Rolland <alexisrolland@hotmail.com>
* initial WanDancer support
* nodes_wandancer: Add list form of chunker.
Create an alternate list form of the node so the chunk gens can be
trivially looped by the comfy executor.
* Closer match to original soxr resampling
* Remove librosa node
* Cleanup
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Co-authored-by: Rattus <rattus128@gmail.com>
* Update language options in nodes_ace.py
Modified it to include all 51 language options ace-step1.5 supports instead of the original 23 comfyui had.
* re-arrange list by popularity
changed order of the languages to be ordered by popularity
en is default
unknown is last
* Update comfy_extras/nodes_ace.py
Kosinkadink
Alexis Rolland
Jedrzej Kosinski
Jukka Seppänen
comfyanonymous
Pauan
drozbay
rattus
Alvin Tang
AustinMroz
angad777
Daxiong (Lin)
LaVie024
Yousef R. Gamaleldin
omahs
Talmaj
iChrist