Christian Byrne and GitHub
7dbd5dfe91
bump comfyui-frontend-package to 1.32.10 ( #11018 )
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2025-12-01 13:27:17 -05:00
comfyanonymous and GitHub
f8b981ae9a
Next AMD portable will have pytorch with ROCm 7.1.1 ( #11002 )
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2025-11-30 04:21:31 -05:00
ComfyUI Wiki and GitHub
4967f81778
update template to 0.7.25 ( #10996 )
...
* update template to 0.7.24
* Update template to 0.7.25
2025-11-29 18:07:26 -08:00
comfyanonymous and GitHub
0a6746898d
Make the ScaleRope node work on Z Image and Lumina. ( #10994 )
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2025-11-29 18:00:55 -05:00
comfyanonymous and GitHub
5151cff293
Add some missing z image lora layers. ( #10980 )
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2025-11-28 23:55:00 -05:00
Dr.Lt.Data and GitHub
af96d9812d
feat(security): add System User protection with __ prefix ( #10966 )
...
* feat(security): add System User protection with `__` prefix
Add protected namespace for custom nodes to store sensitive data
(API keys, licenses) that cannot be accessed via HTTP endpoints.
Key changes:
- New API: get_system_user_directory() for internal access
- New API: get_public_user_directory() with structural blocking
- 3-layer defense: header validation, path blocking, creation prevention
- 54 tests covering security, edge cases, and backward compatibility
System Users use `__` prefix (e.g., __system, __cache) following
Python's private member convention. They exist in user_directory/
but are completely blocked from /userdata HTTP endpoints.
* style: remove unused imports
2025-11-28 21:28:42 -05:00
comfyanonymous and GitHub
52a32e2b32
Support some z image lora formats. ( #10978 )
2025-11-28 21:12:42 -05:00
Jukka Seppänen and GitHub
b907085709
Support video tiny VAEs ( #10884 )
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* Support video tiny VAEs
* lighttaew scaling fix
* Also support video taes in previews
Only first frame for now as live preview playback is currently only available through VHS custom nodes.
* Support Wan 2.1 lightVAE
* Relocate elif block and set Wan VAE dim directly without using pruning rate for lightvae
2025-11-28 19:40:19 -05:00
comfyanonymous and GitHub
065a2fbbec
Update driver link in AMD portable README ( #10974 )
2025-11-28 19:37:39 -05:00
rattus and GitHub
0ff0457892
mm: wrap the raw stream in context manager ( #10958 )
...
The documentation of torch.foo.Stream being usable with with: suggests
it starts at version 2.7. Use the old API for backwards compatibility.
2025-11-28 16:38:12 -05:00
Urle Sistiana and GitHub
6484ac89dc
fix QuantizedTensor.is_contiguous ( #10956 ) ( #10959 )
2025-11-28 16:33:07 -05:00
comfyanonymous and GitHub
f55c98a89f
Disable offload stream when torch compile. ( #10961 )
2025-11-28 16:16:46 -05:00
Dr.Lt.Data and GitHub
ca7808f240
fix(user_manager): fix typo in move_userdata dest validation ( #10967 )
...
Check `dest` instead of `source` when validating destination path
in move_userdata endpoint.
2025-11-28 12:43:17 -08:00
Alexander Piskun and GitHub
52e778fff3
feat(Kling-API-Nodes): add v2-5-turbo model to FirstLastFrame node ( #10938 )
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2025-11-28 02:52:59 -08:00
comfyanonymous and GitHub
9d8a817985
Enable async offloading by default on Nvidia. ( #10953 )
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Add --disable-async-offload to disable it.
If this causes OOMs that go away when you --disable-async-offload please
report it.
2025-11-27 17:46:12 -05:00
ComfyUI Wiki and GitHub
b59750a86a
Update template to 0.7.23 ( #10949 )
2025-11-27 17:12:56 -05:00
rattus and GitHub
3f382a4f98
quant ops: Dequantize weight in-place ( #10935 )
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In flux2 these weights are huge (200MB). As plain_tensor is a throw-away
deep copy, do this multiplication in-place to save VRAM.
2025-11-27 08:06:30 -08:00
rattus and GitHub
f17251bec6
Account for the VRAM cost of weight offloading ( #10733 )
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* mm: default to 0 for NUM_STREAMS
Dont count the compute stream as an offload stream. This makes async
offload accounting easier.
* mm: remove 128MB minimum
This is from a previous offloading system requirement. Remove it to
make behaviour of the loader and partial unloader consistent.
* mp: order the module list by offload expense
Calculate an approximate offloading temporary VRAM cost to offload a
weight and primary order the module load list by that. In the simple
case this is just the same as the module weight, but with Loras, a
weight with a lora consumes considerably more VRAM to do the Lora
application on-the-fly.
This will slightly prioritize lora weights, but is really for
proper VRAM offload accounting.
* mp: Account for the VRAM cost of weight offloading
when checking the VRAM headroom, assume that the weight needs to be
offloaded, and only load if it has space for both the load and offload
* the number of streams.
As the weights are ordered from largest to smallest by offload cost
this is guaranteed to fit in VRAM (tm), as all weights that follow
will be smaller.
Make the partial unload aware of this system as well by saving the
budget for offload VRAM to the model state and accounting accordingly.
Its possible that partial unload increases the size of the largest
offloaded weights, and thus needs to unload a little bit more than
asked to accomodate the bigger temp buffers.
Honor the existing codes floor on model weight loading of 128MB by
having the patcher honor this separately withough regard to offloading.
Otherwise when MM specifies its 128MB minimum, MP will see the biggest
weights, and budget that 128MB to only offload buffer and load nothing
which isnt the intent of these minimums. The same clamp applies in
case of partial offload of the currently loading model.
2025-11-27 01:03:03 -05:00
Haoming and GitHub
c38e7d6599
block info ( #10841 )
2025-11-26 20:28:44 -08:00
comfyanonymous and GitHub
eaf68c9b5b
Make lora training work on Z Image and remove some redundant nodes. ( #10927 )
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2025-11-26 19:25:32 -05:00
Kohaku-Blueleaf and GitHub
cc6a8dcd1a
Dataset Processing Nodes and Improved LoRA Trainer Nodes with multi resolution supports. ( #10708 )
...
* Create nodes_dataset.py
* Add encoded dataset caching mechanism
* make training node to work with our dataset system
* allow trainer node to get different resolution dataset
* move all dataset related implementation to nodes_dataset
* Rewrite dataset system with new io schema
* Rewrite training system with new io schema
* add ui pbar
* Add outputs' id/name
* Fix bad id/naming
* use single process instead of input list when no need
* fix wrong output_list flag
* use torch.load/save and fix bad behaviors
2025-11-26 19:18:08 -05:00
Alexander Piskun and GitHub
a2d60aad0f
convert nodes_customer_sampler.py to V3 schema ( #10206 )
2025-11-26 14:55:31 -08:00
Alexander Piskun and GitHub
d8433c63fd
chore(api-nodes): remove chat widgets from OpenAI/Gemini nodes ( #10861 )
2025-11-26 14:42:01 -08:00
comfyanonymous and GitHub
dd41b74549
Add Z Image to readme. ( #10924 )
2025-11-26 15:36:38 -05:00
comfyanonymous and GitHub
55f654db3d
Fix the CSP offline feature. ( #10923 )
2025-11-26 15:16:40 -05:00
Terry Jia and GitHub
58c6ed541d
Merge 3d animation node ( #10025 )
2025-11-26 14:58:27 -05:00
Christian Byrne and GitHub
234c3dc85f
Bump frontend to 1.32.9 ( #10867 )
2025-11-26 14:58:08 -05:00
Alexander Piskun and GitHub
8908ee2628
fix(gemini): use first 10 images as fileData (URLs) and remaining images as inline base64 ( #10918 )
2025-11-26 10:38:30 -08:00
Alexander Piskun and GitHub
1105e0d139
improve UX for batch uploads in upload_images_to_comfyapi ( #10913 )
2025-11-26 09:23:14 -08:00
Alexander Piskun and GitHub
8938aa3f30
add Veo3 First-Last-Frame node ( #10878 )
2025-11-26 09:14:02 -08:00
comfyanonymous and GitHub
f16219e3aa
Add cheap latent preview for flux 2. ( #10907 )
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Thank you to the person who calculated them. You saved me a percent of my
time.
2025-11-26 04:00:43 -05:00
comfyanonymous
8402c8700a
ComfyUI version v0.3.75
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2025-11-26 02:41:13 -05:00
comfyanonymous and GitHub
58b8574661
Fix Flux2 reference image mem estimation. ( #10905 )
2025-11-26 02:36:19 -05:00
comfyanonymous
90b3995ec8
ComfyUI v0.3.74
2025-11-26 00:34:15 -05:00
comfyanonymous and GitHub
bdb10a583f
Fix loras not working on mixed fp8. ( #10899 )
2025-11-26 00:07:58 -05:00
comfyanonymous and GitHub
0e24dbb19f
Adjustments to Z Image. ( #10893 )
2025-11-25 19:02:51 -05:00
comfyanonymous and GitHub
e9aae31fa2
Z Image model. ( #10892 )
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2025-11-25 18:41:45 -05:00
comfyanonymous
0c18842acb
ComfyUI v0.3.73
2025-11-25 14:59:37 -05:00
comfyanonymous and GitHub
d196a905bb
Lower vram usage for flux 2 text encoder. ( #10887 )
2025-11-25 14:58:39 -05:00
ComfyUI Wiki and GitHub
18b79acba9
Update workflow templates to v0.7.20 ( #10883 )
2025-11-25 14:58:21 -05:00
comfyanonymous and GitHub
dff996ca39
Fix crash. ( #10885 )
2025-11-25 14:30:24 -05:00
comfyanonymous
828b1b9953
ComfyUI version v0.3.72
2025-11-25 12:40:58 -05:00
comfyanonymous and GitHub
af81cb962d
Add Flux 2 support to README. ( #10882 )
2025-11-25 11:40:32 -05:00
Alexander Piskun and GitHub
5c7b08ca58
[API Nodes] add Flux.2 Pro node ( #10880 )
2025-11-25 11:09:07 -05:00
comfyanonymous and GitHub
6b573ae0cb
Flux 2 ( #10879 )
2025-11-25 10:50:19 -05:00
comfyanonymous and GitHub
015a0599d0
I found a case where this is needed ( #10875 )
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2025-11-25 03:23:19 -05:00
comfyanonymous and GitHub
acfaa5c4a1
Don't try fp8 matrix mult in quantized ops if not supported by hardware. ( #10874 )
2025-11-25 02:55:49 -05:00
comfyanonymous and GitHub
b6805429b9
Allow pinning quantized tensors. ( #10873 )
2025-11-25 02:48:20 -05:00
comfyanonymous and GitHub
25022e0b09
Cleanup and fix issues with text encoder quants. ( #10872 )
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2025-11-25 01:48:53 -05:00
comfyanonymous and GitHub
22a2644e57
Bump transformers version in requirements.txt ( #10869 )
2025-11-24 19:45:54 -05:00
