#14862 auto-enables the comfy-kitchen Triton backend whenever torch.version.hip
is set and Triton >= 3.7. The INT8 matmul kernels compile tl.dot to matrix-core
instructions (WMMA on RDNA3+/gfx11xx-gfx12xx, MFMA on CDNA/gfx9xx); RDNA1/RDNA2
(gfx10xx) have neither, so the auto-enabled INT8 path hangs the GPU there
(reported on RDNA2 + triton-windows 3.7.1: native and custom-node INT8 freeze
until reset).
Gate the automatic ROCm default on GPU architecture as well as Triton version so
RDNA1/RDNA2 stay on the working eager fallback. Add --disable-triton-backend as
an explicit override; --enable-triton-backend still force-enables on any arch.
On AMD/ROCm the CUDA backend is unavailable, so Triton is the only accelerated
comfy-kitchen backend. It was disabled by default (opt-in --enable-triton-backend),
leaving AMD on the slow eager path. Enable it by default when torch.version.hip is
set AND Triton is >= 3.7 -- older Triton lacks libdevice.rint on the HIP backend and
hard-crashes the INT8 path, so on Triton < 3.7 it stays disabled with a log line.
NVIDIA behavior is unchanged; the explicit --enable-triton-backend flag still works
as an override.
Fixes#14861
mixed_precision_ops.Linear.forward only quantized activations that were 2D, or
3D (reshaped to 2D). Inputs with rank >= 4 (e.g. Anima's MLP activations, which
are not reshaped to 3D the way the attention path is) fell through the
`input_reshaped.ndim == 2` guard and reached scaled_mm as bf16, silently
dispatching a bf16 kernel instead of FP8. Since MLP is roughly half the compute,
the FP8 speedup was far below expectation.
Generalize the existing 3D->2D reshape to any rank >= 3 (flatten the leading
dims, keep the contraction dim) and reshape the output back to the original
leading dims. 2D and 3D inputs are handled exactly as before; only rank >= 4
inputs change (now quantized instead of skipped). This matches the rank-agnostic
handling already used by the training path (flatten(0, -2) / unflatten).
Fixes#14595.
linear_dtype in comfy_quant metadata can be used to set if the int4 op does
the matrix multiplication in int8 or int4, the default is int4 on GPUs that
support it with fallback to int8 for GPUs that don't.
Each folder in the listing now carries its registered extension
allowlist verbatim; an empty array means the folder accepts any
extension (match-all), mirroring filter_files_extensions semantics.
Gives consumers the filtering rule itself rather than just its output:
/models/{folder} lists files by the per-folder rule but the rule is not
exposed anywhere, and /experiment/models/{folder} filters everything by
the global supported_pt_extensions regardless of registration.
Presentation-level filtering of match-all folders (e.g. hiding
README/config noise that repository-downloading custom nodes leave in
model directories) is deliberately left to the consumer.
Co-authored-by: guill <jacob.e.segal@gmail.com>
* 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>
