Commit Graph

4114 Commits

Author SHA1 Message Date
9cdc64998f Only disable cudnn on newer AMD GPUs. (#10437) 2025-10-21 19:15:23 -04:00
560b1bdfca ComfyUI version v0.3.66 v0.3.66 2025-10-21 01:12:32 -04:00
b7992f871a Revert "execution: fold in dependency aware caching / Fix --cache-none with l…" (#10422)
This reverts commit b1467da480.
2025-10-20 19:03:06 -04:00
2c2aa409b0 Log message for cudnn disable on AMD. (#10418) 2025-10-20 15:43:24 -04:00
a4787ac83b Update template to 0.2.1 (#10413)
* Update template to 0.1.97

* Update template to 0.2.1
2025-10-20 15:28:36 -04:00
b5c59b763c Deprecation warning on unused files (#10387)
* only warn for unused files

* include internal extensions
2025-10-19 13:05:46 -07:00
b4f30bd408 Pytorch is stupid. (#10398) 2025-10-19 01:25:35 -04:00
dad076aee6 Speed up chroma radiance. (#10395) 2025-10-18 23:19:52 -04:00
0cf33953a7 Fix batch size above 1 giving bad output in chroma radiance. (#10394) 2025-10-18 23:15:34 -04:00
5b80addafd Turn off cuda malloc by default when --fast autotune is turned on. (#10393) 2025-10-18 22:35:46 -04:00
9da397ea2f Disable torch compiler for cast_bias_weight function (#10384)
* Disable torch compiler for cast_bias_weight function

* Fix torch compile.
2025-10-17 20:03:28 -04:00
92d97380bd Update Python 3.14 installation instructions (#10385)
Removed mention of installing pytorch nightly for Python 3.14.
2025-10-17 18:22:59 -04:00
99ce2a1f66 convert nodes_controlnet.py to V3 schema (#10202) 2025-10-17 14:13:05 -07:00
b1467da480 execution: fold in dependency aware caching / Fix --cache-none with loops/lazy etc (#10368)
* execution: fold in dependency aware caching

This makes --cache-none compatiable with lazy and expanded
subgraphs.

Currently the --cache-none option is powered by the
DependencyAwareCache. The cache attempts to maintain a parallel
copy of the execution list data structure, however it is only
setup once at the start of execution and does not get meaninigful
updates to the execution list.

This causes multiple problems when --cache-none is used with lazy
and expanded subgraphs as the DAC does not accurately update its
copy of the execution data structure.

DAC has an attempt to handle subgraphs ensure_subcache however
this does not accurately connect to nodes outside the subgraph.
The current semantics of DAC are to free a node ASAP after the
dependent nodes are executed.

This means that if a subgraph refs such a node it will be requed
and re-executed by the execution_list but DAC wont see it in
its to-free lists anymore and leak memory.

Rather than try and cover all the cases where the execution list
changes from inside the cache, move the while problem to the
executor which maintains an always up-to-date copy of the wanted
data-structure.

The executor now has a fast-moving run-local cache of its own.
Each _to node has its own mini cache, and the cache is unconditionally
primed at the time of add_strong_link.

add_strong_link is called for all of static workflows, lazy links
and expanded subgraphs so its the singular source of truth for
output dependendencies.

In the case of a cache-hit, the executor cache will hold the non-none
value (it will respect updates if they happen somehow as well).

In the case of a cache-miss, the executor caches a None and will
wait for a notification to update the value when the node completes.

When a node completes execution, it simply releases its mini-cache
and in turn its strong refs on its direct anscestor outputs, allowing
for ASAP freeing (same as the DependencyAwareCache but a little more
automatic).

This now allows for re-implementation of --cache-none with no cache
at all. The dependency aware cache was also observing the dependency
sematics for the objects and UI cache which is not accurate (this
entire logic was always outputs specific).

This also prepares for more complex caching strategies (such as RAM
pressure based caching), where a cache can implement any freeing
strategy completely independently of the DepedancyAwareness
requirement.

* main: re-implement --cache-none as no cache at all

The execution list now tracks the dependency aware caching more
correctly that the DependancyAwareCache.

Change it to a cache that does nothing.

* test_execution: add --cache-none to the test suite

--cache-none is now expected to work universally. Run it through the
full unit test suite. Propagate the server parameterization for whether
or not the server is capabale of caching, so that the minority of tests
that specifically check for cache hits can if else. Hard assert NOT
caching in the else to give some coverage of --cache-none expected
behaviour to not acutally cache.
2025-10-17 13:55:15 -07:00
d8d60b5609 Do batch_slice in EasyCache's apply_cache_diff (#10376) 2025-10-17 00:39:37 -04:00
b1293d50ef workaround also works on cudnn 91200 (#10375) 2025-10-16 19:59:56 -04:00
19b466160c Workaround for nvidia issue where VAE uses 3x more memory on torch 2.9 (#10373) 2025-10-16 18:16:03 -04:00
bc0ad9bb49 fix(api-nodes): remove "veo2" model from Veo3 node (#10372) 2025-10-16 10:12:50 -07:00
4054b4bf38 feat: deprecated API alert (#10366) 2025-10-16 01:13:31 -07:00
55ac7d333c Bump frontend to 1.28.7 (#10364) 2025-10-15 20:30:39 -07:00
afa8a24fe1 refactor: Replace manual patches merging with merge_nested_dicts (#10360) 2025-10-15 17:16:09 -07:00
493b81e48f Fix order of inputs nested merge_nested_dicts (#10362) 2025-10-15 16:47:26 -07:00
6b035bfce2 Latest pytorch stable is cu130 (#10361) 2025-10-15 18:48:12 -04:00
74b7f0b04b feat(api-nodes): add Veo3.1 model (#10357) 2025-10-15 15:41:45 -07:00
f72c6616b2 Add TemporalScoreRescaling node (#10351)
* Add TemporalScoreRescaling node

* Mention image generation in tsr_k's tooltip
2025-10-15 18:12:25 -04:00
1c10b33f9b gfx942 doesn't support fp8 operations. (#10348) 2025-10-15 00:21:11 -04:00
ddfce1af4f Bump frontend to 1.28.6 (#10345) 2025-10-14 21:08:23 -04:00
7a883849ea api-nodes: fixed dynamic pricing format; import comfy_io directly (#10336) 2025-10-13 23:55:56 -07:00
84867067ea Python 3.14 instructions. (#10337) 2025-10-14 02:09:12 -04:00
3374e900d0 Faster workflow cancelling. (#10301) 2025-10-13 23:43:53 -04:00
51696e3fdc ComfyUI version 0.3.65 v0.3.65 2025-10-13 23:39:55 -04:00
dfff7e5332 Better memory estimation for the SD/Flux VAE on AMD. (#10334) 2025-10-13 22:37:19 -04:00
e4ea393666 Fix loading old stable diffusion ckpt files on newer numpy. (#10333) 2025-10-13 22:18:58 -04:00
c8674bc6e9 Enable RDNA4 pytorch attention on ROCm 7.0 and up. (#10332) 2025-10-13 21:19:03 -04:00
3dfdcf66b6 convert nodes_hunyuan.py to V3 schema (#10136) 2025-10-13 12:36:26 -07:00
95ca2e56c8 WAN2.2: Fix cache VRAM leak on error (#10308)
Same change pattern as 7e8dd275c2
applied to WAN2.2

If this suffers an exception (such as a VRAM oom) it will leave the
encode() and decode() methods which skips the cleanup of the WAN
feature cache. The comfy node cache then ultimately keeps a reference
this object which is in turn reffing large tensors from the failed
execution.

The feature cache is currently setup at a class variable on the
encoder/decoder however, the encode and decode functions always clear
it on both entry and exit of normal execution.

Its likely the design intent is this is usable as a streaming encoder
where the input comes in batches, however the functions as they are
today don't support that.

So simplify by bringing the cache back to local variable, so that if
it does VRAM OOM the cache itself is properly garbage when the
encode()/decode() functions dissappear from the stack.
2025-10-13 15:23:11 -04:00
27ffd12c45 add indent=4 kwarg to json.dumps() (#10307) 2025-10-13 12:14:52 -07:00
e693e4db6a Always set diffusion model to eval() mode. (#10331) 2025-10-13 14:57:27 -04:00
d68ece7301 Update the extra_model_paths.yaml.example (#10319) 2025-10-12 23:54:41 -04:00
894837de9a update extra models paths example (#10316) 2025-10-12 23:35:33 -04:00
fdc92863b6 Update node docs to 0.3.0 (#10318) 2025-10-12 23:32:02 -04:00
a125cd84b0 Improve AMD performance. (#10302)
I honestly have no idea why this improves things but it does.
2025-10-12 00:28:01 -04:00
84e9ce32c6 Implement the mmaudio VAE. (#10300) 2025-10-11 22:57:23 -04:00
f43b8ab2a2 Update template to 0.1.95 (#10294) 2025-10-11 10:27:22 -07:00
14d642acd6 feat(api-nodes): add price extractor feature; small fixes to Kling & Pika nodes (#10284) 2025-10-10 16:21:40 -07:00
aa895db7e8 feat(GeminiImage-ApiNode): add aspect_ratio and release version of model (#10255) 2025-10-10 16:17:20 -07:00
cdfc25a160 Fix save audio nodes saving mono audio as stereo. (#10289) 2025-10-10 17:33:51 -04:00
81e4dac107 convert nodes_upscale_model.py to V3 schema (#10149) 2025-10-09 16:08:40 -07:00
90853fb9cd convert nodes_flux to V3 schema (#10122) 2025-10-09 16:07:17 -07:00
f1dd6e50f8 Fix bug with applying loras on fp8 scaled without fp8 ops. (#10279) 2025-10-09 19:02:40 -04:00