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>
On failure (ex: animated webp files) fallback to old pillow code.
This should fix the extra precision in high bit depth images (like 16 bit PNG) being discarded when loaded by Pillow and potentially add support for more image formats.
* 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
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Store import and prestartup errors in NODE_STARTUP_ERRORS dict (nodes.py,
main.py) and add GET /custom_node_startup_errors endpoint (server.py) so
the frontend/Manager can distinguish failed imports from missing nodes.
Ref: ComfyUI-Launcher#303
Amp-Thread-ID: https://ampcode.com/threads/T-019d2346-6e6f-75e0-a97f-cdb6e26859f7
Co-authored-by: Amp <amp@ampcode.com>
