Macpaul Lin
38f5db0118
fix(quant_ops): implement torch.Tensor.copy_ in __torch_function__ for QuantizedTensor
...
Signed-off-by: Macpaul Lin <macpaul@gmail.com>
2026-01-09 02:00:41 +08:00
Macpaul Lin
ea3ec049bd
fix(quant_ops): implement __torch_function__ to support torch.empty_like for mock QuantizedTensor
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Signed-off-by: Macpaul Lin <macpaul@gmail.com>
2026-01-09 02:00:41 +08:00
Macpaul Lin
96803b16c0
fix(quant_ops): ensure QuantizedTensor.to(dtype=...) updates orig_dtype to prevent precision mismatch RuntimeErrors
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Signed-off-by: Macpaul Lin <macpaul@gmail.com>
2026-01-09 02:00:41 +08:00
Macpaul Lin
9907a5e4f5
fix(quant_ops): add numel, size, shape, dim, and ndim to mock QuantizedTensor
...
Signed-off-by: Macpaul Lin <macpaul@gmail.com>
2026-01-09 02:00:41 +08:00
Macpaul Lin
e3cc20034d
fix(quant_ops): add _layout_cls and _params aliases to mock QuantizedTensor
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Signed-off-by: Macpaul Lin <macpaul@gmail.com>
2026-01-09 02:00:41 +08:00
Macpaul Lin
77a46c68ea
fix(quant_ops): add detach, clone, and requires_grad_ to mock QuantizedTensor
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Signed-off-by: Macpaul Lin <macpaul@gmail.com>
2026-01-09 02:00:41 +08:00
Macpaul Lin
406dab2d53
fix(quant_ops): improve comfy_kitchen fallback logic to prevent loading errors
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Signed-off-by: Macpaul Lin <macpaul@gmail.com>
2026-01-09 02:00:41 +08:00
Macpaul Lin
ef7b4a717a
feat(mps): implement native-like Float8 support via LUT dequantization
...
Add a new MPS-specific operations module to handle Float8 tensor support
on Apple Silicon. Since MPS does not natively support Float8 dtypes, this
implementation uses a uint8 storage strategy combined with a GPU-accelerated
Lookup Table (LUT) for efficient dequantization, keeping data on the GPU.
- Add comfy/mps_ops.py: Implement cached LUT generation and index-based
dequantization for MPS.
- Modify comfy/quant_ops.py: Add logic to view Float8 tensors as uint8
when moving to MPS, and route dequantization to mps_ops.
- Modify comfy/float.py: Add CPU staging for stochastic rounding to
prevent MPS casting errors during quantization.
- Modify comfy/quant_ops.py: Add fallback for fp8_linear.
Signed-off-by: Macpaul Lin <macpaul@gmail.com>
2026-01-09 02:00:41 +08:00
Dr.Lt.Data
5943fbf457
bump comfyui_manager version to the 4.0.5 ( #11732 )
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2026-01-08 08:15:42 -08:00
Yoland Yan
a60b7b86c5
Revert "Force sequential execution in CI test jobs ( #11687 )" ( #11725 )
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This reverts commit ce0000c4f2
2026-01-07 21:41:57 -08:00
comfyanonymous
2e9d51680a
ComfyUI version v0.8.2
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2026-01-07 23:50:02 -05:00
comfyanonymous
50d6e1caf4
Tweak ltxv vae mem estimation. ( #11722 )
2026-01-07 23:07:05 -05:00
comfyanonymous
ac12f77bed
ComfyUI version v0.8.1
2026-01-07 22:10:08 -05:00
ComfyUI Wiki
fcd9a236b0
Update template to 0.7.69 ( #11719 )
2026-01-07 18:22:23 -08:00
comfyanonymous
21e8425087
Add warning for old pytorch. ( #11718 )
2026-01-07 21:07:26 -05:00
rattus
b6c79a648a
ops: Fix offloading with FP8MM performance ( #11697 )
...
This logic was checking comfy_cast_weights, and going straight to
to the forward_comfy_cast_weights implementation without
attempting to downscale input to fp8 in the event comfy_cast_weights
is set.
The main reason comfy_cast_weights would be set would be for async
offload, which is not a good reason to nix FP8MM.
So instead, and together the underlying exclusions for FP8MM which
are:
* having a weight_function (usually LowVramPatch)
* force_cast_weights (compute dtype override)
* the weight is not Quantized
* the input is already quantized
* the model or layer has MM explictily disabled.
If you get past all of those exclusions, quantize the input tensor.
Then hand the new input, quantized or not off to
forward_comfy_cast_weights to handle it. If the weight is offloaded
but input is quantized you will get an offloaded MM8.
2026-01-07 21:01:16 -05:00
comfyanonymous
25bc1b5b57
Add memory estimation function to ltxav text encoder. ( #11716 )
2026-01-07 20:11:22 -05:00
comfyanonymous
3cd19e99c1
Increase ltxav mem estimation by a bit. ( #11715 )
2026-01-07 20:04:56 -05:00
comfyanonymous
007b87e7ac
Bump required comfy-kitchen version. ( #11714 )
2026-01-07 19:48:47 -05:00
comfyanonymous
34751fe9f9
Lower ltxv text encoder vram use. ( #11713 )
2026-01-07 19:12:15 -05:00
Jukka Seppänen
1c705f7bfb
Add device selection for LTXAVTextEncoderLoader ( #11700 )
2026-01-07 18:39:59 -05:00
rattus
48e5ea1dfd
model_patcher: Remove confusing load stat ( #11710 )
...
If the loader passes 1e32 as the usable memory size, it means force
the full load. This happens with CPU loads and a few other misc cases.
Removing the confusing number and just leave the other details.
2026-01-07 18:39:20 -05:00
comfyanonymous
3cd7b32f1b
Support gemma 12B with quant weights. ( #11696 )
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2026-01-07 05:15:14 -05:00
comfyanonymous
c0c9720d77
Fix stable release workflow not pulling latest comfy kitchen. ( #11695 )
2026-01-07 04:48:28 -05:00
comfyanonymous
fc0cb10bcb
ComfyUI v0.8.0
2026-01-07 04:07:31 -05:00
comfyanonymous
b7d7cc1d49
Fix fp8 fast issue. ( #11688 )
2026-01-07 01:39:06 -05:00
Alexander Piskun
79e94544bd
feat(api-nodes): add WAN2.6 ReferenceToVideo ( #11644 )
2026-01-06 22:04:50 -08:00
Yoland Yan
ce0000c4f2
Force sequential execution in CI test jobs ( #11687 )
...
Added max-parallel setting to enforce sequential execution in test jobs.
2026-01-07 00:57:31 -05:00
comfyanonymous
c5cfb34c07
Update comfy-kitchen version to 0.2.3 ( #11685 )
2026-01-06 23:51:45 -05:00
comfyanonymous
edee33f55e
Disable comfy kitchen cuda if pytorch cuda less than 13 ( #11681 )
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2026-01-06 22:13:43 -05:00
comfyanonymous
2c03884f5f
Skip fp4 matrix mult on devices that don't support it. ( #11677 )
2026-01-06 18:07:26 -05:00
comfyanonymous
6e9ee55cdd
Disable ltxav previews. ( #11676 )
2026-01-06 17:41:27 -05:00
comfyanonymous
023cf13721
Fix lowvram issue with ltxv2 text encoder. ( #11675 )
2026-01-06 17:33:03 -05:00
ComfyUI Wiki
c3566c0d76
chore: update workflow templates to v0.7.67 ( #11667 )
2026-01-06 14:28:29 -08:00
comfyanonymous
c3c3e93c5b
Use rope functions from comfy kitchen. ( #11674 )
2026-01-06 16:57:50 -05:00
comfyanonymous
6ffc159bdd
Update comfy-kitchen version to 0.2.1 ( #11672 )
2026-01-06 15:53:43 -05:00
comfyanonymous
96e0d0924e
Add helpful message to portable. ( #11671 )
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2026-01-06 14:43:24 -05:00
ComfyUI Wiki
e14f3b6610
chore: update workflow templates to v0.7.66 ( #11652 )
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2026-01-05 22:37:11 -08:00
comfyanonymous
1618002411
Revert "Use rope functions from comfy kitchen. ( #11647 )" ( #11648 )
...
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This reverts commit 6ef85c4915
2026-01-05 23:07:39 -05:00
comfyanonymous
6ef85c4915
Use rope functions from comfy kitchen. ( #11647 )
2026-01-05 22:50:35 -05:00
comfyanonymous
6da00dd899
Initial ops changes to use comfy_kitchen: Initial nvfp4 checkpoint support. ( #11635 )
...
---------
Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
2026-01-05 21:48:58 -05:00
comfyanonymous
4f3f9e72a9
Fix name. ( #11638 )
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2026-01-05 02:41:23 -08:00
comfyanonymous
d157c3299d
Refactor module_size function. ( #11637 )
2026-01-05 03:48:31 -05:00
comfyanonymous
d1b9822f74
Add LTXAVTextEncoderLoader node. ( #11634 )
2026-01-05 02:27:31 -05:00
comfyanonymous
f2b002372b
Support the LTXV 2 model. ( #11632 )
2026-01-05 01:58:59 -05:00
comfyanonymous
38d0493825
Fix case where upscale model wouldn't be moved to cpu. ( #11633 )
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2026-01-04 19:13:50 -05:00
Alexander Piskun
acbf08cd60
feat(api-nodes): add support for 720p resolution for Kling Omni nodes ( #11604 )
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2026-01-03 23:05:02 -08:00
comfyanonymous
53e762a3af
Print memory summary on OOM to help with debugging. ( #11613 )
2026-01-03 22:28:38 -05:00
comfyanonymous
9a552df898
Remove leftover scaled_fp8 key. ( #11603 )
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2026-01-02 17:28:10 -08:00
Alexander Piskun
f2fda021ab
Tripo3D: pass face_limit parameter only when it differs from default ( #11601 )
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2026-01-02 03:18:43 -08:00
