Two reviewer-requested improvements to GET /node_startup_errors:
1. Emit the pyproject metadata in the same {project: {...}, tool_comfy: {...}}
shape that comfy_config.config_parser.extract_node_configuration already
returns, instead of inventing a flat {pack_id, display_name, ...} bag.
API consumers can now parse the pyproject block straight through the
shared PyProjectConfig pydantic model. Empty / default-valued leaves
are pruned by a small recursive _prune_empty helper so the payload
stays compact, but nesting and field names match the source-of-truth.
2. Add optional source, module_name, and pack_id query parameters
(combined with AND) so a frontend / Manager can ask ?pack_id=foo
instead of grep'ing through the whole grouped response. pack_id
resolves against pyproject.project.name; entries without a parsed
pyproject are naturally excluded from a pack_id query.
The grouping + filtering + module_path stripping moves into
odes.filter_node_startup_errors so the route handler is a one-liner and
the helper is unit-testable without spinning up an aiohttp app.
Tests: 5 new unit tests covering each filter branch, AND-combination, and
empty-result behaviour, plus an updated pyproject-metadata assertion that
checks the nested PyProjectConfig shape, plus a focused test for the
_prune_empty helper.
* Move dataset/text nodes to text category
* Rename category utils into utilities
* Rename category api node into partner
* Move categories conditioning, latent, sampling, model_patches, training, etc. under model category
* Dispatch partner nodes in to 3d, audio, image, text, video categories
* Move PreviewAny node to utilities category
* 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
The public 'source' field on each NODE_STARTUP_ERRORS entry is now the same string as the internal module_parent passed to load_custom_node ('custom_nodes', 'comfy_extras', 'comfy_api_nodes'), rather than being translated to a separate fixed enum. Treating it as a free-form string keeps the contract durable in case the node-source layout evolves (e.g. comfy_api_nodes eventually moving out of core).
The API endpoint now also dynamically groups by whatever sources are present rather than hardcoding the three known top-level keys; consumers should not assume any particular set of keys is always present.
Drops the _NODE_SOURCE_BY_PARENT map, _node_source_from_parent helper, and the related test. Adds a test covering an arbitrary unknown module_parent value passing through unchanged.
Ref: ComfyUI-Launcher#303
Amp-Thread-ID: https://ampcode.com/threads/T-019e23a1-2acc-7619-bd0e-f783d1368ef3
Co-authored-by: Amp <amp@ampcode.com>
When a failing module has a pyproject.toml, parse it via comfy_config.config_parser and attach a 'pyproject' field with the Comfy Registry-style identity (pack_id, display_name, publisher_id, version, repository). This gives the frontend/Manager a stable, user-recognizable handle for the failed pack beyond the on-disk folder name.
The lookup is best-effort and never raises: missing toml, missing pydantic-settings dependency, or any parse error simply omits the 'pyproject' key.
Ref: ComfyUI-Launcher#303
Amp-Thread-ID: https://ampcode.com/threads/T-019e23a1-2acc-7619-bd0e-f783d1368ef3
Co-authored-by: Amp <amp@ampcode.com>
Expand custom-node startup error tracking to differentiate between user-installed custom_nodes, built-in comfy_extras, and partner comfy_api_nodes. Each NODE_STARTUP_ERRORS entry now carries a 'source' field and is keyed by '<source>:<module_name>' so colliding module names across the three locations don't overwrite each other. The /custom_node_startup_errors endpoint returns errors grouped by source so the frontend/Manager can render distinct sections.
Also captures previously-missed failures from comfy_entrypoint() (phase='entrypoint').
Introduces nodes.record_node_startup_error() helper used by load_custom_node and main.execute_prestartup_script.
Adds tests-unit/node_startup_errors_test.py (6 tests) covering field shape, source mapping for each module_parent, cross-source collisions, and default fallback.
Ref: ComfyUI-Launcher#303
Amp-Thread-ID: https://ampcode.com/threads/T-019e23a1-2acc-7619-bd0e-f783d1368ef3
Co-authored-by: Amp <amp@ampcode.com>
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
* 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>
Jedrzej Kosinski
彼彼
Alexis Rolland
Yousef R. Gamaleldin
John Pollock
Barish Ozbay
Silver
Terry Jia
Jukka Seppänen
comfyanonymous
Talmaj