f9f9faface
Fixed model merging issue with scaled fp8.
2024-10-20 06:24:31 -04:00
471cd3eace
fp8 casting is fast on GPUs that support fp8 compute.
2024-10-20 00:54:47 -04:00
a68bbafddb
Support diffusion models with scaled fp8 weights.
2024-10-19 23:47:42 -04:00
73e3a9e676
Clamp output when rounding weight to prevent Nan.
2024-10-19 19:07:10 -04:00
67158994a4
Use the lowvram cast_to function for everything.
2024-10-17 17:25:56 -04:00
0bedfb26af
Revert "Fix Transformers FutureWarning ( #5140 )"
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This reverts commit 95b7cf9bbe
2024-10-16 12:36:19 -04:00
f584758271
Cleanup some useless lines.
2024-10-14 21:02:39 -04:00
95b7cf9bbe
Fix Transformers FutureWarning ( #5140 )
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* Update sd1_clip.py
Fix Transformers FutureWarning
* Update sd1_clip.py
Fix comment
2024-10-14 20:12:20 -04:00
3c60ecd7a8
Fix fp8 ops staying enabled.
2024-10-12 14:10:13 -04:00
7ae6626723
Remove useless argument.
2024-10-12 07:16:21 -04:00
6632365e16
model_options consistency between functions.
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weight_dtype -> dtype
2024-10-11 20:51:19 -04:00
ad07796777
🐛 Add device to variable c ( #5210 )
2024-10-11 20:37:50 -04:00
1b80895285
Make clip loader nodes support loading sd3 t5xxl in lower precision.
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Add attention mask support in the SD3 text encoder code.
2024-10-10 15:06:15 -04:00
5f9d5a244b
Hotfix for the div zero occurrence when memory_used_encode is 0 ( #5121 )
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https://github.com/comfyanonymous/ComfyUI/issues/5069#issuecomment-2382656368
2024-10-09 23:34:34 -04:00
4b2f0d9413
Increase maximum macOS version to 15.0.1 when forcing upcast attention ( #5191 )
2024-10-09 22:21:41 -04:00
e38c94228b
Add a weight_dtype fp8_e4m3fn_fast to the Diffusion Model Loader node.
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This is used to load weights in fp8 and use fp8 matrix multiplication.
2024-10-09 19:43:17 -04:00
203942c8b2
Fix flux doras with diffusers keys.
2024-10-08 19:03:40 -04:00
8dfa0cc552
Make SD3 fast previews a little better.
2024-10-07 09:19:59 -04:00
e5ecdfdd2d
Make fast previews for SDXL a little better by adding a bias.
2024-10-06 19:27:04 -04:00
7d29fbf74b
Slightly improve the fast previews for flux by adding a bias.
2024-10-06 17:55:46 -04:00
7d2467e830
Some minor cleanups.
2024-10-05 13:22:39 -04:00
6f021d8aa0
Let --verbose have an argument for the log level.
2024-10-04 10:05:34 -04:00
d854ed0bcf
Allow using SD3 type te output on flux model.
2024-10-03 09:44:54 -04:00
abcd006b8c
Allow more permutations of clip/t5 in dual clip loader.
2024-10-03 09:26:11 -04:00
d985d1d7dc
CLIP Loader node now supports clip_l and clip_g only for SD3.
2024-10-02 04:25:17 -04:00
d1cdf51e1b
Refactor some of the TE detection code.
2024-10-01 07:08:41 -04:00
b4626ab93e
Add simpletuner lycoris format for SD unet.
2024-09-30 06:03:27 -04:00
a9e459c2a4
Use torch.nn.functional.linear in RGB preview code.
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Add an optional bias to the latent RGB preview code.
2024-09-29 11:27:49 -04:00
3bb4dec720
Fix issue with loras, lowvram and --fast fp8.
2024-09-28 14:42:32 -04:00
8733191563
Flux torch.compile fix ( #5082 )
2024-09-27 22:07:51 -04:00
bdd4a22a2e
Fix flux TE not loading t5 embeddings.
2024-09-24 22:57:22 -04:00
479a427a48
Add dpmpp_2m_cfg_pp ( #4992 )
2024-09-24 02:42:56 -04:00
3a0eeee320
Make --listen listen on both ipv4 and ipv6 at the same time by default.
2024-09-23 04:38:19 -04:00
9c41bc8d10
Remove useless line.
2024-09-23 02:32:29 -04:00
7a415f47a9
Add an optional VAE input to the ControlNetApplyAdvanced node.
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Deprecate the other controlnet nodes.
2024-09-22 01:24:52 -04:00
dc96a1ae19
Load controlnet in fp8 if weights are in fp8.
2024-09-21 04:50:12 -04:00
2d810b081e
Add load_controlnet_state_dict function.
2024-09-21 01:51:51 -04:00
9f7e9f0547
Add an error message when a controlnet needs a VAE but none is given.
2024-09-21 01:33:18 -04:00
70a708d726
Fix model merging issue.
2024-09-20 02:31:44 -04:00
e7d4782736
add laplace scheduler [2407.03297] ( #4990 )
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* add laplace scheduler [2407.03297]
* should be here instead lol
* better settings
2024-09-19 23:23:09 -04:00
ad66f7c7d8
Add model_options to load_controlnet function.
2024-09-19 08:23:35 -04:00
de8e8e3b0d
Fix xpu Pytorch nightly build from calling optimize which doesn't exist. ( #4978 )
2024-09-19 05:11:42 -04:00
0b7dfa986d
Improve tiling calculations to reduce number of tiles that need to be processed. ( #4944 )
2024-09-17 03:51:10 -04:00
d514bb38ee
Add some option to model_options for the text encoder.
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load_device, offload_device and the initial_device can now be set.
2024-09-17 03:49:54 -04:00
0849c80e2a
get_key_patches now works without unloading the model.
2024-09-17 01:57:59 -04:00
e813abbb2c
Long CLIP L support for SDXL, SD3 and Flux.
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Use the *CLIPLoader nodes.
2024-09-15 07:59:38 -04:00
f48e390032
Support AliMama SD3 and Flux inpaint controlnets.
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Use the ControlNetInpaintingAliMamaApply node.
2024-09-14 09:05:16 -04:00
cf80d28689
Support loading controlnets with different input.
2024-09-13 09:54:37 -04:00
b962db9952
Add cli arg to override user directory ( #4856 )
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* Override user directory.
* Use overridden user directory.
* Remove prints.
* Remove references to global user_files.
* Remove unused replace_folder function.
* Remove newline.
* Remove global during get_user_directory.
* Add validation.
2024-09-12 08:10:27 -04:00
9d720187f1
types -> comfy_types to fix import issue.
2024-09-12 03:57:46 -04:00
9f4daca9d9
Doesn't really make sense for cfg_pp sampler to call regular one.
2024-09-11 02:51:36 -04:00
b5d0f2a908
Add CFG++ to DPM++ 2S Ancestral ( #3871 )
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* Update sampling.py
* Update samplers.py
* my bad
* "fix" the sampler
* Update samplers.py
* i named it wrong
* minor sampling improvements
mainly using a dynamic rho value (hey this sounds a lot like smea!!!)
* revert rho change
rho? r? its just 1/2
2024-09-11 02:49:44 -04:00
9c5fca75f4
Fix lora issue.
2024-09-08 10:10:47 -04:00
32a60a7bac
Support onetrainer text encoder Flux lora.
2024-09-08 09:31:41 -04:00
bb52934ba4
Fix import issue ( #4815 )
2024-09-07 05:28:32 -04:00
ea77750759
Support a generic Comfy format for text encoder loras.
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This is a format with keys like:
text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.v_proj.lora_up.weight
Instead of waiting for me to add support for specific lora formats you can
convert your text encoder loras to this format instead.
If you want to see an example save a text encoder lora with the SaveLora
node with the commit right after this one.
2024-09-07 02:20:39 -04:00
c27ebeb1c2
Fix onnx export not working on flux.
2024-09-06 03:21:52 -04:00
5cbaa9e07c
Mistoline flux controlnet support.
2024-09-05 00:05:17 -04:00
c7427375ee
Prioritize freeing partially offloaded models first.
2024-09-04 19:47:32 -04:00
f04229b84d
Add emb_patch support to UNetModel forward ( #4779 )
2024-09-04 14:35:15 -04:00
f067ad15d1
Make live preview size a configurable launch argument ( #4649 )
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* Make live preview size a configurable launch argument
* Remove import from testing phase
* Update cli_args.py
2024-09-03 19:16:38 -04:00
483004dd1d
Support newer glora format.
2024-09-03 17:02:19 -04:00
00a5d08103
Lower fp8 lora memory usage.
2024-09-03 01:25:05 -04:00
d043997d30
Flux onetrainer lora.
2024-09-02 08:22:15 -04:00
8d31a6632f
Speed up inference on nvidia 10 series on Linux.
2024-09-01 17:29:31 -04:00
b643eae08b
Make minimum_inference_memory() depend on --reserve-vram
2024-09-01 01:18:34 -04:00
935ae153e1
Cleanup.
2024-08-30 12:53:59 -04:00
e91662e784
Get logs endpoint & system_stats additions ( #4690 )
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* Add route for getting output logs
* Include ComfyUI version
* Move to own function
* Changed to memory logger
* Unify logger setup logic
* Fix get version git fallback
---------
Co-authored-by: pythongosssss <125205205+pythongosssss@users.noreply.github.com>
2024-08-30 12:46:37 -04:00
63fafaef45
Fix potential issue with hydit controlnets.
2024-08-30 04:58:41 -04:00
6eb5d64522
Fix glora lowvram issue.
2024-08-29 19:07:23 -04:00
10a79e9898
Implement model part of flux union controlnet.
2024-08-29 18:41:22 -04:00
ea3f39bd69
InstantX depth flux controlnet.
2024-08-29 02:14:19 -04:00
b33cd61070
InstantX canny controlnet.
2024-08-28 19:02:50 -04:00
d31e226650
Unify RMSNorm code.
2024-08-28 16:56:38 -04:00
38c22e631a
Fix case where model was not properly unloaded in merging workflows.
2024-08-27 19:03:51 -04:00
6bbdcd28ae
Support weight padding on diff weight patch ( #4576 )
2024-08-27 13:55:37 -04:00
ab130001a8
Do RMSNorm in native type.
2024-08-27 02:41:56 -04:00
2ca8f6e23d
Make the stochastic fp8 rounding reproducible.
2024-08-26 15:12:06 -04:00
7985ff88b9
Use less memory in float8 lora patching by doing calculations in fp16.
2024-08-26 14:45:58 -04:00
c6812947e9
Fix potential memory leak.
2024-08-26 02:07:32 -04:00
9230f65823
Fix some controlnets OOMing when loading.
2024-08-25 05:54:29 -04:00
8ae23d8e80
Fix onnx export.
2024-08-23 17:52:47 -04:00
7df42b9a23
Fix dora.
2024-08-23 04:58:59 -04:00
5d8bbb7281
Cleanup.
2024-08-23 04:06:27 -04:00
2c1d2375d6
Fix.
2024-08-23 04:04:55 -04:00
64ccb3c7e3
Rework IPEX check for future inclusion of XPU into Pytorch upstream and do a bit more optimization of ipex.optimize(). ( #4562 )
2024-08-23 03:59:57 -04:00
9465b23432
Added SD15_Inpaint_Diffusers model support for unet_config_from_diffusers_unet function ( #4565 )
2024-08-23 03:57:08 -04:00
c0b0da264b
Missing imports.
2024-08-22 17:20:51 -04:00
c26ca27207
Move calculate function to comfy.lora
2024-08-22 17:12:00 -04:00
7c6bb84016
Code cleanups.
2024-08-22 17:05:12 -04:00
c54d3ed5e6
Fix issue with models staying loaded in memory.
2024-08-22 15:58:20 -04:00
c7ee4b37a1
Try to fix some lora issues.
2024-08-22 15:32:18 -04:00
7b70b266d8
Generalize MacOS version check for force-upcast-attention ( #4548 )
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This code automatically forces upcasting attention for MacOS versions 14.5 and 14.6. My computer returns the string "14.6.1" for `platform.mac_ver()[0]`, so this generalizes the comparison to catch more versions.
I am running MacOS Sonoma 14.6.1 (latest version) and was seeing black image generation on previously functional workflows after recent software updates. This PR solved the issue for me.
See comfyanonymous/ComfyUI#3521
2024-08-22 13:24:21 -04:00
8f60d093ba
Fix issue.
2024-08-22 10:38:24 -04:00
843a7ff70c
fp16 is actually faster than fp32 on a GTX 1080.
2024-08-21 23:23:50 -04:00
a60620dcea
Fix slow performance on 10 series Nvidia GPUs.
2024-08-21 16:39:02 -04:00
015f73dc49
Try a different type of flux fp16 fix.
2024-08-21 16:17:15 -04:00
904bf58e7d
Make --fast work on pytorch nightly.
2024-08-21 14:01:41 -04:00
5f50263088
Replace use of .view with .reshape ( #4522 )
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When generating images with fp8_e4_m3 Flux and batch size >1, using --fast, ComfyUI throws a "view size is not compatible with input tensor's size and stride" error pointing at the first of these two calls to view.
As reshape is semantically equivalent to view except for working on a broader set of inputs, there should be no downside to changing this. The only difference is that it clones the underlying data in cases where .view would error out. I have confirmed that the output still looks as expected, but cannot confirm that no mutable use is made of the tensors anywhere.
Note that --fast is only marginally faster than the default.
2024-08-21 11:21:48 -04:00
03ec517afb
Remove useless line, adjust windows default reserved vram.
2024-08-21 00:47:19 -04:00
comfyanonymous
svdc
Kadir Nar
Dr.Lt.Data
Jonathan Avila
City
chaObserv
yoinked
Simon Lui
pharmapsychotic
Robin Huang
Jim Winkens
Jedrzej Kosinski
Silver
Chenlei Hu
Scorpinaus
David
Svein Ove Aas