patientx
78ead8cfa1
Merge branch 'comfyanonymous:master' into master
2025-12-03 01:23:50 +03:00
comfyanonymous
daaceac769
Hack to make zimage work in fp16. ( #11057 )
2025-12-02 17:11:58 -05:00
patientx
101f54fa0a
Merge branch 'comfyanonymous:master' into master
2025-12-02 16:11:47 +03:00
Dr.Lt.Data
b4a20acc54
feat: Support ComfyUI-Manager for pip version ( #7555 )
2025-12-01 22:32:52 -05:00
comfyanonymous
878db3a727
Implement the Ovis image model. ( #11030 )
2025-12-01 20:56:17 -05:00
patientx
ae49590112
Merge branch 'comfyanonymous:master' into master
2025-12-02 02:49:34 +03:00
comfyanonymous
2640acb31c
Update qwen tokenizer to add qwen 3 tokens. ( #11029 )
...
Doesn't actually change anything for current workflows because none of the
current models have a template with the think tokens.
2025-12-01 17:13:48 -05:00
patientx
a2ce5d679b
Merge branch 'comfyanonymous:master' into master
2025-11-30 15:21:47 +03:00
comfyanonymous
0a6746898d
Make the ScaleRope node work on Z Image and Lumina. ( #10994 )
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2025-11-29 18:00:55 -05:00
patientx
f073f115e0
Merge branch 'comfyanonymous:master' into master
2025-11-29 18:19:41 +03:00
comfyanonymous
5151cff293
Add some missing z image lora layers. ( #10980 )
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2025-11-28 23:55:00 -05:00
comfyanonymous
52a32e2b32
Support some z image lora formats. ( #10978 )
2025-11-28 21:12:42 -05:00
Jukka Seppänen
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
rattus
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
6484ac89dc
fix QuantizedTensor.is_contiguous ( #10956 ) ( #10959 )
2025-11-28 16:33:07 -05:00
comfyanonymous
f55c98a89f
Disable offload stream when torch compile. ( #10961 )
2025-11-28 16:16:46 -05:00
patientx
4094cbf867
Merge branch 'comfyanonymous:master' into master
2025-11-28 13:43:35 +03:00
comfyanonymous
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
patientx
9a060c049b
Merge branch 'comfyanonymous:master' into master
2025-11-28 01:43:26 +03:00
rattus
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
patientx
da822b5057
Merge branch 'comfyanonymous:master' into master
2025-11-27 14:43:23 +03:00
rattus
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
c38e7d6599
block info ( #10841 )
2025-11-26 20:28:44 -08:00
comfyanonymous
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
patientx
3c8731b0d2
Merge branch 'comfyanonymous:master' into master
2025-11-26 12:21:27 +03:00
comfyanonymous
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
58b8574661
Fix Flux2 reference image mem estimation. ( #10905 )
2025-11-26 02:36:19 -05:00
comfyanonymous
bdb10a583f
Fix loras not working on mixed fp8. ( #10899 )
2025-11-26 00:07:58 -05:00
patientx
a34a748d68
Merge branch 'comfyanonymous:master' into master
2025-11-26 04:05:23 +03:00
comfyanonymous
0e24dbb19f
Adjustments to Z Image. ( #10893 )
2025-11-25 19:02:51 -05:00
comfyanonymous
e9aae31fa2
Z Image model. ( #10892 )
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2025-11-25 18:41:45 -05:00
patientx
0ca3339165
Merge branch 'comfyanonymous:master' into master
2025-11-25 23:30:29 +03:00
comfyanonymous
d196a905bb
Lower vram usage for flux 2 text encoder. ( #10887 )
2025-11-25 14:58:39 -05:00
comfyanonymous
dff996ca39
Fix crash. ( #10885 )
2025-11-25 14:30:24 -05:00
comfyanonymous
6b573ae0cb
Flux 2 ( #10879 )
2025-11-25 10:50:19 -05:00
patientx
de43f7b30d
Merge branch 'comfyanonymous:master' into master
2025-11-25 14:05:26 +03:00
comfyanonymous
015a0599d0
I found a case where this is needed ( #10875 )
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2025-11-25 03:23:19 -05:00
comfyanonymous
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
b6805429b9
Allow pinning quantized tensors. ( #10873 )
2025-11-25 02:48:20 -05:00
comfyanonymous
25022e0b09
Cleanup and fix issues with text encoder quants. ( #10872 )
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2025-11-25 01:48:53 -05:00
patientx
f0426a04cc
Merge branch 'comfyanonymous:master' into master
2025-11-24 22:10:49 +03:00
Haoming
b2ef58e2b1
block info ( #10844 )
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2025-11-24 10:40:09 -08:00
Haoming
6a6d456c88
block info ( #10842 )
2025-11-24 10:38:38 -08:00
Haoming
3d1fdaf9f4
block info ( #10843 )
2025-11-24 10:30:40 -08:00
patientx
2b2293df5e
Merge branch 'comfyanonymous:master' into master
2025-11-23 15:24:48 +03:00
comfyanonymous
cbd68e3d58
Add better error message for common error. ( #10846 )
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2025-11-23 04:55:22 -05:00
patientx
edae30b4bc
Merge branch 'comfyanonymous:master' into master
2025-11-22 15:59:58 +03:00
comfyanonymous
532938b16b
--disable-api-nodes now sets CSP header to force frontend offline. ( #10829 )
2025-11-21 17:51:55 -05:00
patientx
8ff2c83c38
Merge branch 'comfyanonymous:master' into master
2025-11-21 16:16:28 +03:00
comfyanonymous
943b3b615d
HunyuanVideo 1.5 ( #10819 )
...
* init
* update
* Update model.py
* Update model.py
* remove print
* Fix text encoding
* Prevent empty negative prompt
Really doesn't work otherwise
* fp16 works
* I2V
* Update model_base.py
* Update nodes_hunyuan.py
* Better latent rgb factors
* Use the correct sigclip output...
* Support HunyuanVideo1.5 SR model
* whitespaces...
* Proper latent channel count
* SR model fixes
This also still needs timesteps scheduling based on the noise scale, can be used with two samplers too already
* vae_refiner: roll the convolution through temporal
Work in progress.
Roll the convolution through time using 2-latent-frame chunks and a
FIFO queue for the convolution seams.
* Support HunyuanVideo15 latent resampler
* fix
* Some cleanup
Co-Authored-By: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com>
* Proper hyvid15 I2V channels
Co-Authored-By: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com>
* Fix TokenRefiner for fp16
Otherwise x.sum has infs, just in case only casting if input is fp16, I don't know if necessary.
* Bugfix for the HunyuanVideo15 SR model
* vae_refiner: roll the convolution through temporal II
Roll the convolution through time using 2-latent-frame chunks and a
FIFO queue for the convolution seams.
Added support for encoder, lowered to 1 latent frame to save more
VRAM, made work for Hunyuan Image 3.0 (as code shared).
Fixed names, cleaned up code.
* Allow any number of input frames in VAE.
* Better VAE encode mem estimation.
* Lowvram fix.
* Fix hunyuan image 2.1 refiner.
* Fix mistake.
* Name changes.
* Rename.
* Whitespace.
* Fix.
* Fix.
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Co-authored-by: kijai <40791699+kijai@users.noreply.github.com>
Co-authored-by: Rattus <rattus128@gmail.com>
2025-11-20 22:44:43 -05:00
