* feat(assets): add namespaced model type tags
* fix(assets): mark path-derived upload tags automatic
* fix(assets): merge duplicate scan specs
* test(assets): make duplicate path normalization portable
* feat(assets): add loader_path as the authoritative loader locator (#14796)
* fix(assets): filter model_type tags by bucket extension sets
Buckets sharing a base directory (e.g. diffusion_models and a custom
unet_gguf) tagged every file in the directory regardless of whether the
bucket could load it, so .safetensors files were tagged
model_type:unet_gguf and vice versa. Carry each bucket's registered
extension set through get_comfy_models_folders and only emit a
model_type tag when the file extension matches, keeping the empty-set
match-all convention from folder_paths.filter_files_extensions.
Files under a model base matching no bucket now keep only the models
tag instead of every directory-matching model_type tag.
* feat(assets): replace response file_path with persisted loader_path
The old file_path response field was a namespaced storage locator
(models/checkpoints/foo.safetensors): not an absolute path, not unique
identity, and not the value a loader consumes. Nothing needs that shape
on the wire (hash/ID-based locating is the long-term direction), so it
is dropped rather than renamed; the storage-root matching stays internal,
powering display_name.
What loaders DO need is the in-root loader path (category dropped:
models/checkpoints/foo/bar.safetensors -> foo/bar.safetensors). Serve it
as a first-class loader_path field, persisted on asset_references
(migration 0006) and written by every ingest pipeline at insert, so
responses read the column verbatim.
Like the model_type tags, loader_path is a seed-time derivative of the
model folder registry, maintained by the same scan lifecycle (new files seed
fresh values, pruning retires rows whose bucket disappeared). Rows
predating the column serve a null loader_path; databases from before
this stack already need recreating for the base branch's tag changes.
loader_path resolves every registered base including extra_model_paths
entries; display_name only the canonical storage roots. A file can
therefore be loadable with no display name (extra-path models) or the
reverse (unregistered files under the models root), and loader_path is
null exactly when no loader can resolve the file.
* test(assets): lock loader_path matrix (asymmetry, null, persist/read)
Cover the behaviour that has no production change but is easy to regress:
the extra-path asymmetry (loadable but no storage namespace), null
loader_path persistence for orphan files, and the response reading the
stored column with a compute fallback for un-backfilled rows.
* fix(assets): persist subfolder-qualified loader_path for ingested outputs
ingest_existing_file built its seed spec with the file's basename, so
outputs saved into a subfolder persisted loader_path (and the
user_metadata filename that preview URLs split for their subfolder
param) as just the basename: the served locator pointed at a file that
does not exist at that path. Scanner and seeder specs already derive
fname via compute_loader_path; use the same derivation here.
* fix(assets): only extension-matching buckets contribute a loader_path
The model-base match in get_asset_category_and_relative_path ignored
each bucket's extension set, so a file inside a registered base whose
extension the bucket cannot load (e.g. a .txt uploaded into
model_type:checkpoints) advertised a loader_path that no loader list
would ever resolve, while the tag side of the same stack already
excluded it. Apply the extension check used for backend tags (empty set
accepts any extension), keeping loader_path null exactly when no loader
can resolve the file.
* fix(assets): refresh loader_path when re-ingesting an existing reference
upsert_reference only wrote loader_path on the INSERT branch, so
re-ingesting an existing reference (an output overwritten in place, or a
file re-registered after its loader_path derivation changed) kept the
stale or NULL value forever. Write it on the UPDATE branch too, with a
null-safe change guard so a loader_path difference alone is enough to
trigger the update, and identical values stay a no-op.
* fix(assets): repair semantic merge breakage from #14796 and master
Two textually-clean but semantically-broken merges:
- routes.py lost its folder_paths import when #14796's import block
superseded the base's, while the content-type hardening added via the
base's master merge still calls folder_paths.is_dangerous_content_type.
- master's SVG download-hardening test uploads with the pre-namespacing
bare checkpoints tag, which this branch's destination validation
rejects; use model_type:checkpoints.
---------
Co-authored-by: guill <jacob.e.segal@gmail.com>
a1d95f3f padded the decode width to the next multiple of 32 with the pad filter to fix libswscale's float YUV->GBR edge corruption, but kept the pad target height equal to the source height. The pad filter requires the target height to be a multiple of the input's vertical chroma subsampling factor, so a chroma-subsampled input such as yuv420p (the format the gbrpf32le float branch decodes) with an odd height makes the filter round the target below the input height and fail to configure: 'Padded dimensions cannot be smaller than input dimensions' (Errno 22). This is reachable from LoadImage, which routes static images through VideoFromFile, on a lossy WebP whose width is not a multiple of 32 and whose height is odd.
The pad filter also fills the added border with black, and chroma upsampling bleeds that black into the cropped edge of every unaligned-width subsampled decode.
Pad both axes to the next multiple of 32 (32 is a multiple of every vertical subsampling factor, including yuv410p's 4 that a plain even rounding misses) and run fillborders mode=smear to replicate the real edge into the padding so it never bleeds into the cropped output, then crop both axes back to the source size. Aligned-width and uint8 paths run the identical to_ndarray call as before and are byte-identical to master; only unaligned-width subsampled inputs change, from a crash or edge artifact to a clean, deterministic decode.
Create Video gets a bit_depth option (8-bit/10-bit); the selected depth is carried by the video and applied when it gets encoded. Save Video and Video Slice now keep the source bit depth instead of always quantizing to 8-bit, so 10-bit videos stay 10-bit. 10-bit uses h264 with the yuv420p10le pixel format,so there's no new codec or container.
Signed-off-by: bigcat88 <bigcat88@icloud.com>
- Add `optional` kwarg to DynamicSlot.Input (default True). When False,
declaring a when=None Option is rejected because the unconnected branch
is unreachable.
- Always publish `forceInput=True` on the slot itself. slotType may
include widget-capable types (INT/STRING/etc.) but a DynamicSlot is
meant to look like a connection point, never a widget.
Amp-Thread-ID: https://ampcode.com/threads/T-019e8568-f382-743d-a97f-0de3ff29d501
Co-authored-by: Amp <amp@ampcode.com>
Grouping AnyType with concrete types conflates the known-type case with
the unresolvable-wildcard case under one branch and muddies slotType.
AnyType must stand alone as when=io.AnyType so the two states stay
distinct in both dispatch and the serialized schema.
Amp-Thread-ID: https://ampcode.com/threads/T-019e8568-f382-743d-a97f-0de3ff29d501
Co-authored-by: Amp <amp@ampcode.com>
Bug fixes:
- execution.py validate_inputs() now calls _select_option for DynamicSlot
links instead of validating against slotType. Old code accepted any
concrete upstream type whenever AnyType was enumerated (slotType
contained '*', which validate_node_input treats as accept-anything).
Verified end-to-end: LATENT into an IMAGE+AnyType slot is now rejected.
- Thread live_input_types through get_input_data so custom V3
validate_inputs() sees the same DynamicSlot branch that finalization
picked, instead of re-finalizing without resolver context.
- DynamicSlot.Option._when_types is now an ordered tuple (preserves
author declaration order); _slot_io_type/slotType ordering was
previously nondeterministic via frozenset iteration.
Design:
- DynamicSlot.Input.get_all() now returns [self] + children, matching
Autogrow / DynamicCombo so consumers like PriceBadge work uniformly.
- Enforce per-option type uniqueness in DynamicSlot.Input: each io_type
may appear in at most one option's 'when', and at most one option may
declare when=None. Removes the ambiguous first-match-on-overlap case
for single concrete types; ordering still matters when upstream is a
multi-type union.
- Reject non-Option entries in options=[...] explicitly.
Polish:
- Trim verbose DynamicSlot docstrings and inline comments.
Amp-Thread-ID: https://ampcode.com/threads/T-019e8568-f382-743d-a97f-0de3ff29d501
Co-authored-by: Amp <amp@ampcode.com>
Replaces the old connected/unconnected fixed-child DynamicSlot with a
type-keyed option list. Each Option declares a 'when' condition (None,
io.AnyType, a single ComfyType, a list, or a MultiType.Input) and the
child inputs revealed when that condition matches the slot's resolved
upstream type.
Selection happens at schema-finalization time using live_input_types
computed by TypeResolver, so API-only workflows (no frontend) get the
same expansion the UI would.
- _io.py: redesign DynamicSlot.Input / Option; auto-derive slotType as
the union of all non-None when sets; expose it via as_dict so the
frontend knows what types are accepted; the class io_type stays
COMFY_DYNAMICSLOT_V3 as the parse-time dispatch tag.
- type_resolver.py: return the auto-derived _slot_io_type for
DynamicSlot.Input; document the AnyType (*) limitation.
- execution.py: validate links into a DynamicSlot against slotType,
not the dispatch tag COMFY_DYNAMICSLOT_V3.
- tests: new test_dynamic_slot.py + regression coverage in
test_type_resolver.py.
Amp-Thread-ID: https://ampcode.com/threads/T-019e8568-f382-743d-a97f-0de3ff29d501
Co-authored-by: Amp <amp@ampcode.com>
register_dynamic_input_func is a private helper (underscore module, not
in __all__, not re-exported). Its only callers are the three core
setup_dynamic_input_funcs() registrations, all of which were updated
together. No third party can be relying on the old 5-arg signature, so
the inspect.signature shim and accompanying backward-compat tests are
over-engineered.
Amp-Thread-ID: https://ampcode.com/threads/T-019e8568-f382-743d-a97f-0de3ff29d501
Co-authored-by: Amp <amp@ampcode.com>
* Add _parse_link helper validating both node_id (str) and slot_idx (int,
rejecting bool) so malformed API JSON (e.g. ['n1', '0']) degrades to
AnyType instead of crashing with TypeError.
* Add slot_idx type guards in resolve_output_type and is_output_list.
* Extract _get_class_def_for_node helper to dedupe node/class lookup
across resolve_output_type, is_output_list, get_declared_slot_io_type.
* register_dynamic_input_func now detects 5-argument legacy callables
via inspect.signature and silently wraps them; preserves backward
compatibility for any custom node that registered its own dynamic
input expansion against the pre-live_input_types signature.
* Tests: malformed link (str slot idx, wrong arity), bad slot type
directly to resolve_output_type, non-string class_type. Tests for
the legacy 5-arg shim and the modern 6-arg passthrough, including
callables with uninspectable signatures.
Amp-Thread-ID: https://ampcode.com/threads/T-019e8568-f382-743d-a97f-0de3ff29d501
Co-authored-by: Amp <amp@ampcode.com>
Resolves the concrete io_type of any output/input slot in a prompt by
walking the graph, so API-submitted workflows (no frontend) and the
execution engine agree on resolved types even when MatchType chains are
involved.
* New comfy_execution/type_resolver.py: TypeResolver class with output
resolution (incl. MatchType template walking, cycle detection, depth
cap, AnyType fallback + one-shot warning), input resolution (links and
literals), is_output_list / is_input_list helpers, effective slot
io_type peeling for dynamic wrappers (Autogrow -> wrapped element
type, DynamicSlot -> underlying slot type), and bulk
compute_live_input_types.
* DynamicPrompt now lazily exposes get_type_resolver() and invalidates
the resolver cache on add_ephemeral_node.
* get_finalized_class_inputs / parse_class_inputs / DYNAMIC_INPUT_LOOKUP
callable signature accept an optional live_input_types dict. Existing
Autogrow/DynamicSlot/DynamicCombo expansions accept and ignore it;
future per-type dynamic inputs use it as their discriminator.
* validate_inputs and get_input_data both build live_input_types via
the resolver and pass it through; validate_inputs also uses the
resolver to determine received_type for linked inputs so MatchType
chains in API workflows validate correctly.
* validate_prompt builds one TypeResolver and shares it across all
output-node validations to avoid re-walking chains.
* tests-unit/execution_test/test_type_resolver.py covers V1 static
return types, V1 wildcard warning behavior, MatchType resolution
including first-wins, cycle termination, chain walking, input
resolution, Autogrow peeling, list info, and cache invalidation.
Amp-Thread-ID: https://ampcode.com/threads/T-019e8568-f382-743d-a97f-0de3ff29d501
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.
* CURVE node
* remove curve to sigmas node
* feat: add CurveInput ABC with MonotoneCubicCurve implementation (#12986)
CurveInput is an abstract base class so future curve representations
(bezier, LUT-based, analytical functions) can be added without breaking
downstream nodes that type-check against CurveInput.
MonotoneCubicCurve is the concrete implementation that:
- Mirrors frontend createMonotoneInterpolator (curveUtils.ts) exactly
- Pre-computes slopes as numpy arrays at construction time
- Provides vectorised interp_array() using numpy for batch evaluation
- interp() for single-value evaluation
- to_lut() for generating lookup tables
CurveEditor node wraps raw widget points in MonotoneCubicCurve.
* linear curve
* refactor: move CurveEditor to comfy_extras/nodes_curve.py with V3 schema
* feat: add HISTOGRAM type and histogram support to CurveEditor
* code improve
---------
Co-authored-by: Christian Byrne <cbyrne@comfy.org>
* Revert "Revert "feat: Add CacheProvider API for external distributed caching …"
This reverts commit d1d53c14be.
* fix: gate provider lookups to outputs cache and fix UI coercion
- Add `enable_providers` flag to BasicCache so only the outputs cache
triggers external provider lookups/stores. The objects cache stores
node class instances, not CacheEntry values, so provider calls were
wasted round-trips that always missed.
- Remove `or {}` coercion on `result.ui` — an empty dict passes the
`is not None` gate in execution.py and causes KeyError when the
history builder indexes `["output"]` and `["meta"]`. Preserving
`None` correctly skips the ui_node_outputs addition.
Bug report in #12651
- to_skip fix: Prevents negative array slicing when the start offset is negative.
- __duration check: Prevents the extraction loop from breaking after a single audio chunk when the requested duration is 0 (which is a sentinel for unlimited).
* feat: Add CacheProvider API for external distributed caching
Introduces a public API for external cache providers, enabling distributed
caching across multiple ComfyUI instances (e.g., Kubernetes pods).
New files:
- comfy_execution/cache_provider.py: CacheProvider ABC, CacheContext/CacheValue
dataclasses, thread-safe provider registry, serialization utilities
Modified files:
- comfy_execution/caching.py: Add provider hooks to BasicCache (_notify_providers_store,
_check_providers_lookup), subcache exclusion, prompt ID propagation
- execution.py: Add prompt lifecycle hooks (on_prompt_start/on_prompt_end) to
PromptExecutor, set _current_prompt_id on caches
Key features:
- Local-first caching (check local before external for performance)
- NaN detection to prevent incorrect external cache hits
- Subcache exclusion (ephemeral subgraph results not cached externally)
- Thread-safe provider snapshot caching
- Graceful error handling (provider errors logged, never break execution)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: use deterministic hash for cache keys instead of pickle
Pickle serialization is NOT deterministic across Python sessions due
to hash randomization affecting frozenset iteration order. This causes
distributed caching to fail because different pods compute different
hashes for identical cache keys.
Fix: Use _canonicalize() + JSON serialization which ensures deterministic
ordering regardless of Python's hash randomization.
This is critical for cross-pod cache key consistency in Kubernetes
deployments.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* test: add unit tests for CacheProvider API
- Add comprehensive tests for _canonicalize deterministic ordering
- Add tests for serialize_cache_key hash consistency
- Add tests for contains_nan utility
- Add tests for estimate_value_size
- Add tests for provider registry (register, unregister, clear)
- Move json import to top-level (fix inline import)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* style: remove unused imports in test_cache_provider.py
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: move _torch_available before usage and use importlib.util.find_spec
Fixes ruff F821 (undefined name) and F401 (unused import) errors.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: use hashable types in frozenset test and add dict test
Frozensets can only contain hashable types, so use nested frozensets
instead of dicts. Added separate test for dict handling via serialize_cache_key.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: expose CacheProvider API via comfy_api.latest.Caching
- Add Caching class to comfy_api/latest/__init__.py that re-exports
from comfy_execution.cache_provider (source of truth)
- Fix docstring: "Skip large values" instead of "Skip small values"
(small compute-heavy values are good cache targets)
- Maintain backward compatibility: comfy_execution.cache_provider
imports still work
Usage:
from comfy_api.latest import Caching
class MyProvider(Caching.CacheProvider):
def on_lookup(self, context): ...
def on_store(self, context, value): ...
Caching.register_provider(MyProvider())
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: clarify should_cache filtering criteria
Change docstring from "Skip large values" to "Skip if download time > compute time"
which better captures the cost/benefit tradeoff for external caching.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: make should_cache docstring implementation-agnostic
Remove prescriptive filtering suggestions - let implementations
decide their own caching logic based on their use case.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add optional ui field to CacheValue
- Add ui field to CacheValue dataclass (default None)
- Pass ui when creating CacheValue for external providers
- Use result.ui (or default {}) when returning from external cache lookup
This allows external cache implementations to store/retrieve UI data
if desired, while remaining optional for implementations that skip it.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename _is_cacheable_value to _is_external_cacheable_value
Clearer name since objects are also cached locally - this specifically
checks for external caching eligibility.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: async CacheProvider API + reduce public surface
- Make on_lookup/on_store async on CacheProvider ABC
- Simplify CacheContext: replace cache_key + cache_key_bytes with
cache_key_hash (str hex digest)
- Make registry/utility functions internal (_prefix)
- Trim comfy_api.latest.Caching exports to core API only
- Make cache get/set async throughout caching.py hierarchy
- Use asyncio.create_task for fire-and-forget on_store
- Add NaN gating before provider calls in Core
- Add await to 5 cache call sites in execution.py
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: remove unused imports (ruff) and update tests for internal API
- Remove unused CacheContext and _serialize_cache_key imports from
caching.py (now handled by _build_context helper)
- Update test_cache_provider.py to use _-prefixed internal names
- Update tests for new CacheContext.cache_key_hash field (str)
- Make MockCacheProvider methods async to match ABC
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: address coderabbit review feedback
- Add try/except to _build_context, return None when hash fails
- Return None from _serialize_cache_key on total failure (no id()-based fallback)
- Replace hex-like test literal with non-secret placeholder
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: use _-prefixed imports in _notify_prompt_lifecycle
The lifecycle notification method was importing the old non-prefixed
names (has_cache_providers, get_cache_providers, logger) which no
longer exist after the API cleanup.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: add sync get_local/set_local for graph traversal
ExecutionList in graph.py calls output_cache.get() and .set() from
sync methods (is_cached, cache_link, get_cache). These cannot await
the now-async get/set. Add get_local/set_local that bypass external
providers and only access the local dict — which is all graph
traversal needs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: remove cloud-specific language from cache provider API
Make all docstrings and comments generic for the OSS codebase.
Remove references to Kubernetes, Redis, GCS, pods, and other
infrastructure-specific terminology.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* style: align documentation with codebase conventions
Strip verbose docstrings and section banners to match existing minimal
documentation style used throughout the codebase.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: add usage example to Caching class, remove pickle fallback
- Add docstring with usage example to Caching class matching the
convention used by sibling APIs (Execution.set_progress, ComfyExtension)
- Remove non-deterministic pickle fallback from _serialize_cache_key;
return None on JSON failure instead of producing unretrievable hashes
- Move cache_provider imports to top of execution.py (no circular dep)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: move public types to comfy_api, eager provider snapshot
Address review feedback:
- Move CacheProvider/CacheContext/CacheValue definitions to
comfy_api/latest/_caching.py (source of truth for public API)
- comfy_execution/cache_provider.py re-exports types from there
- Build _providers_snapshot eagerly on register/unregister instead
of lazy memoization in _get_cache_providers
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: generalize self-inequality check, fail-closed canonicalization
Address review feedback from guill:
- Rename _contains_nan to _contains_self_unequal, use not (x == x)
instead of math.isnan to catch any self-unequal value
- Remove Unhashable and repr() fallbacks from _canonicalize; raise
ValueError for unknown types so _serialize_cache_key returns None
and external caching is skipped (fail-closed)
- Update tests for renamed function and new fail-closed behavior
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: suppress ruff F401 for re-exported CacheContext
CacheContext is imported from _caching and re-exported for use by
caching.py. Add noqa comment to satisfy the linter.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: enable external caching for subcache (expanded) nodes
Subcache nodes (from node expansion) now participate in external
provider store/lookup. Previously skipped to avoid duplicates, but
the cost of missing partial-expansion cache hits outweighs redundant
stores — especially with looping behavior on the horizon.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: wrap register/unregister as explicit static methods
Define register_provider and unregister_provider as wrapper functions
in the Caching class instead of re-importing. This locks the public
API signature in comfy_api/ so internal changes can't accidentally
break it.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: use debug-level logging for provider registration
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: follow ProxiedSingleton pattern for Caching class
Add Caching as a nested class inside ComfyAPI_latest inheriting from
ProxiedSingleton with async instance methods, matching the Execution
and NodeReplacement patterns. Retains standalone Caching class for
direct import convenience.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: inline registration logic in Caching class
Follow the Execution/NodeReplacement pattern — the public API methods
contain the actual logic operating on cache_provider module state,
not wrapper functions delegating to free functions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: single Caching definition inside ComfyAPI_latest
Remove duplicate standalone Caching class. Define it once as a nested
class in ComfyAPI_latest (matching Execution/NodeReplacement pattern),
with a module-level alias for import convenience.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: remove prompt_id from CacheContext, type-safe canonicalization
Remove prompt_id from CacheContext — it's not relevant for cache
matching and added unnecessary plumbing (_current_prompt_id on every
cache). Lifecycle hooks still receive prompt_id directly.
Include type name in canonicalized primitives so that int 7 and
str "7" produce distinct hashes. Also canonicalize dict keys properly
instead of str() coercion.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: address review feedback on cache provider API
- Hold references to pending store tasks to prevent "Task was destroyed
but it is still pending" warnings (bigcat88)
- Parallel cache lookups with asyncio.gather instead of sequential
awaits for better performance (bigcat88)
- Delegate Caching.register/unregister_provider to existing functions
in cache_provider.py instead of reimplementing (bigcat88)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude <noreply@anthropic.com>
* Fix VideoFromComponents.save_to crash when writing to BytesIO
When `get_container_format()` or `get_stream_source()` is called on a
tensor-based video (VideoFromComponents), it calls `save_to(BytesIO())`.
Since BytesIO has no file extension, `av.open` can't infer the output
format and throws `ValueError: Could not determine output format`.
The sibling class `VideoFromFile` already handles this correctly via
`get_open_write_kwargs()`, which detects BytesIO and sets the format
explicitly. `VideoFromComponents` just never got the same treatment.
This surfaces when any downstream node validates the container format
of a tensor-based video, like TopazVideoEnhance or any node that calls
`validate_container_format_is_mp4()`.
Three-line fix in `comfy_api/latest/_input_impl/video_types.py`.
* Add docstring to save_to to satisfy CI coverage check
Jedrzej Kosinski
Alexander Piskun
Simon Pinfold
Terry Jia
John Pollock
Robin Huang
Alexis Rolland
Jukka Seppänen
comfyanonymous
Yousef R. Gamaleldin
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