80c4590998
Allow specifying the padding token for the tokenizer.
2024-07-06 00:06:49 -04:00
ce649d61c0
Allow zeroing out of embeds with unused attention mask.
2024-07-05 23:48:17 -04:00
739b76630e
Remove useless code.
2024-07-04 15:14:13 -04:00
d7484ef30c
Support loading checkpoints with the UNETLoader node.
2024-07-03 11:34:32 -04:00
537f35c7bc
Don't update dict if contiguous.
2024-07-02 20:21:51 -04:00
3f46362d22
fix non-contiguous tensor saving (from channels-last) ( #3932 )
2024-07-02 20:16:33 -04:00
9dd549e253
Add `--no-custom-node` cmd flag ( #3903 )
...
* Add --no-custom-node cmd flag
* nit
2024-07-01 17:54:03 -04:00
05e831697a
Switch to the real cfg++ method in the samplers.
...
The old _pp ones will be updated automatically to the regular ones with 2x
the cfg.
My fault for not checking what the "_pp" samplers actually did.
2024-06-29 11:59:48 -04:00
264caca20e
ControlNetApplySD3 node can now be used to use SD3 controlnets.
2024-06-27 18:43:11 -04:00
f8f7568d03
Basic SD3 controlnet implementation.
...
Still missing the node to properly use it.
2024-06-27 18:43:11 -04:00
66aaa14001
Controlnet refactor.
2024-06-27 18:43:11 -04:00
8ceb5a02a3
Support saving stable audio checkpoint that can be loaded back.
2024-06-27 11:06:52 -04:00
4f9d2b057c
Remove print.
2024-06-27 02:54:15 -04:00
44947e7ad4
Add DEIS order 3 sampler.
...
Order 4 seems to give bad results.
2024-06-26 22:40:05 -04:00
69d710e40f
Implement my alternative take on CFG++ as the euler_pp sampler.
...
Add euler_ancestral_pp which is the ancestral version of euler with the
same modification.
2024-06-25 07:41:52 -04:00
73ca780019
Add SamplerEulerCFG++ node.
...
This node should match the DDIM implementation of CFG++ when "regular" is
selected.
"alternative" is a slightly different take on CFG++
2024-06-23 13:21:18 -04:00
2f360ae898
Support OneTrainer SD3 lora format.
2024-06-22 13:08:04 -04:00
4ef1479dcd
Multi dimension tiled scale function and tiled VAE audio encoding fallback.
2024-06-22 11:57:49 -04:00
1e2839f4d9
More proper tiled audio decoding.
2024-06-20 16:50:31 -04:00
d5efde89b7
Add ipndm_v sampler, works best with the exponential scheduler.
2024-06-20 08:51:49 -04:00
028a583bef
Fix issue with full diffusers SD3 loras.
2024-06-19 22:32:04 -04:00
0d6a57938e
Support loading diffusers SD3 model format with UNETLoader node.
2024-06-19 22:21:18 -04:00
b08a9dd04b
Remove empty line.
2024-06-19 20:20:35 -04:00
eee815ec99
Update sd1_clip.py ( #3684 )
...
Made token instance check more flexible so it also works with integers from numpy arrays or long tensors
2024-06-19 16:42:41 -04:00
e11052afcf
Add ipndm sampler.
2024-06-19 16:32:30 -04:00
3914d5a2ae
Support full SD3 loras.
2024-06-19 10:13:33 -04:00
a45df69570
Basic tiled decoding for audio VAE.
2024-06-17 22:48:23 -04:00
b7c473d1ab
Fix lora keys for SimpleTuner ( #3759 )
2024-06-17 07:55:06 -04:00
6425252c4f
Use fp16 as the default vae dtype for the audio VAE.
2024-06-16 13:12:54 -04:00
8ddc151a4c
Squash depreciation warning on new pytorch.
2024-06-16 13:06:23 -04:00
ca9d300a80
Better estimation for memory usage during audio VAE encoding/decoding.
2024-06-16 11:47:32 -04:00
746a0410d4
Fix VAEEncode with taesd3.
2024-06-16 03:10:04 -04:00
04e8798c37
Improvements to the TAESD3 implementation.
2024-06-16 02:04:24 -04:00
df7db0e027
support TAESD3 ( #3738 )
2024-06-16 02:03:53 -04:00
bb1969cab7
Initial support for the stable audio open model.
2024-06-15 12:14:56 -04:00
1281f933c1
Small optimization.
2024-06-15 02:44:38 -04:00
f2e844e054
Optimize some unneeded if conditions in the sampling code.
2024-06-15 02:26:19 -04:00
0ec513d877
Add a --force-channels-last to inference models in channel last mode.
2024-06-15 01:08:12 -04:00
0e06b370db
Print key names for easier debugging.
2024-06-14 18:18:53 -04:00
5eb98f0092
Exempt IPEX from non_blocking previews fixing segmentation faults. ( #3708 )
2024-06-13 18:51:14 -04:00
ac151ac169
Support SD3 diffusers lora.
2024-06-13 18:26:10 -04:00
37a08a41b3
Support setting weight offsets in weight patcher.
2024-06-13 17:21:26 -04:00
605e64f6d3
Fix lowvram issue.
2024-06-12 10:39:33 -04:00
1ddf512fdc
Don't auto convert clip and vae weights to fp16 when saving checkpoint.
2024-06-12 01:07:58 -04:00
694e0b48e0
SD3 better memory usage estimation.
2024-06-12 00:49:00 -04:00
69c8d6d8a6
Single and dual clip loader nodes support SD3.
...
You can use the CLIPLoader to use the t5xxl only or the DualCLIPLoader to
use CLIP-L and CLIP-G only for sd3.
2024-06-11 23:27:39 -04:00
0e49211a11
Load the SD3 T5xxl model in the same dtype stored in the checkpoint.
2024-06-11 17:03:26 -04:00
5889b7ca0a
Support multiple text encoder configurations on SD3.
2024-06-11 13:14:43 -04:00
9424522ead
Reuse code.
2024-06-11 07:20:26 -04:00
73ce178021
Remove redundancy in mmdit.py ( #3685 )
2024-06-11 06:30:25 -04:00
a82fae2375
Fix bug with cosxl edit model.
2024-06-10 16:00:03 -04:00
8c4a9befa7
SD3 Support.
2024-06-10 14:06:23 -04:00
a5e6a632f9
Support sampling non 2D latents.
2024-06-10 01:31:09 -04:00
742d5720d1
Support zeroing out text embeddings with the attention mask.
2024-06-09 16:51:58 -04:00
6cd8ffc465
Reshape the empty latent image to the right amount of channels if needed.
2024-06-08 02:35:08 -04:00
56333d4850
Use the end token for the text encoder attention mask.
2024-06-07 03:05:23 -04:00
104fcea0c8
Add function to get the list of currently loaded models.
2024-06-05 23:25:16 -04:00
b1fd26fe9e
pytorch xpu should be flash or mem efficient attention?
2024-06-04 17:44:14 -04:00
809cc85a8e
Remove useless code.
2024-06-02 19:23:37 -04:00
b249862080
Add an annoying print to a function I want to remove.
2024-06-01 12:47:31 -04:00
bf3e334d46
Disable non_blocking when --deterministic or directml.
2024-05-30 11:07:38 -04:00
b26da2245f
Fix UnetParams annotation typo ( #3589 )
2024-05-27 19:30:35 -04:00
0920e0e5fe
Remove some unused imports.
2024-05-27 19:08:27 -04:00
ffc4b7c30e
Fix DORA strength.
...
This is a different version of #3298 with more correct behavior.
2024-05-25 02:50:11 -04:00
efa5a711b2
Reduce memory usage when applying DORA: #3557
2024-05-24 23:36:48 -04:00
6c23854f54
Fix OSX latent2rgb previews.
2024-05-22 13:56:28 -04:00
7718ada4ed
Add type annotation UnetWrapperFunction ( #3531 )
...
* Add type annotation UnetWrapperFunction
* nit
* Add types.py
2024-05-22 02:07:27 -04:00
8508df2569
Work around black image bug on Mac 14.5 by forcing attention upcasting.
2024-05-21 16:56:33 -04:00
83d969e397
Disable xformers when tracing model.
2024-05-21 13:55:49 -04:00
1900e5119f
Fix potential issue.
2024-05-20 08:19:54 -04:00
09e069ae6c
Log the pytorch version.
2024-05-20 06:22:29 -04:00
11a2ad5110
Fix controlnet not upcasting on models that have it enabled.
2024-05-19 17:58:03 -04:00
0bdc2b15c7
Cleanup.
2024-05-18 10:11:44 -04:00
98f828fad9
Remove unnecessary code.
2024-05-18 09:36:44 -04:00
19300655dd
Don't automatically switch to lowvram mode on GPUs with low memory.
2024-05-17 00:31:32 -04:00
46daf0a9a7
Add debug options to force on and off attention upcasting.
2024-05-16 04:09:41 -04:00
2d41642716
Fix lowvram dora issue.
2024-05-15 02:47:40 -04:00
ec6f16adb6
Fix SAG.
2024-05-14 18:02:27 -04:00
bb4940d837
Only enable attention upcasting on models that actually need it.
2024-05-14 17:00:50 -04:00
b0ab31d06c
Refactor attention upcasting code part 1.
2024-05-14 12:47:31 -04:00
f509c6fe21
Fix Intel GPU memory allocation accuracy and documentation update. ( #3459 )
...
* Change calculation of memory total to be more accurate, allocated is actually smaller than reserved.
* Update README.md install documentation for Intel GPUs.
2024-05-12 06:36:30 -04:00
fa6dd7e5bb
Fix lowvram issue with saving checkpoints.
...
The previous fix didn't cover the case where the model was loaded in
lowvram mode right before.
2024-05-12 06:13:45 -04:00
49c20cdc70
No longer necessary.
2024-05-12 05:34:43 -04:00
e1489ad257
Fix issue with lowvram mode breaking model saving.
2024-05-11 21:55:20 -04:00
93e876a3be
Remove warnings that confuse people.
2024-05-09 05:29:42 -04:00
cd07340d96
Typo fix.
2024-05-08 18:36:56 -04:00
c61eadf69a
Make the load checkpoint with config function call the regular one.
...
I was going to completely remove this function because it is unmaintainable
but I think this is the best compromise.
The clip skip and v_prediction parts of the configs should still work but
not the fp16 vs fp32.
2024-05-06 20:04:39 -04:00
a56d02efc7
Change torch.xpu to ipex.optimize, xpu device initialization and remove workaround for text node issue from older IPEX. ( #3388 )
2024-05-02 03:26:50 -04:00
f81a6fade8
Fix some edge cases with samplers and arrays with a single sigma.
2024-05-01 17:05:30 -04:00
2aed53c4ac
Workaround xformers bug.
2024-04-30 21:23:40 -04:00
bacce529fb
Add TLS Support ( #3312 )
...
* Add TLS Support
* Add to readme
* Add guidance for windows users on generating certificates
* Add guidance for windows users on generating certificates
* Fix typo
2024-04-30 20:17:02 -04:00
7990ae18c1
Fix error when more cond masks passed in than batch size ( #3353 )
2024-04-26 12:51:12 -04:00
8dc19e40d1
Don't init a VAE model when there are no VAE weights.
2024-04-24 09:20:31 -04:00
c59fe9f254
Support VAE without quant_conv.
2024-04-18 21:05:33 -04:00
719fb2c81d
Add basic PAG node.
2024-04-14 23:49:50 -04:00
258dbc06c3
Fix some memory related issues.
2024-04-14 12:08:58 -04:00
58812ab8ca
Support SDXS 512 model.
2024-04-12 22:12:35 -04:00
831511a1ee
Fix issue with sampling_settings persisting across models.
2024-04-09 23:20:43 -04:00
30abc324c2
Support properly saving CosXL checkpoints.
2024-04-08 00:36:22 -04:00
0a03009808
Fix issue with controlnet models getting loaded multiple times.
2024-04-06 18:38:39 -04:00
38ed2da2dd
Fix typo in lowvram patcher ( #3209 )
2024-04-05 12:02:13 -04:00
1088d1850f
Support for CosXL models.
2024-04-05 10:53:41 -04:00
41ed7e85ea
Fix object_patches_backup not being the same object across clones.
2024-04-05 00:22:44 -04:00
0f5768e038
Fix missing arguments in cfg_function.
2024-04-04 23:38:57 -04:00
1f4fc9ea0c
Fix issue with get_model_object on patched model.
2024-04-04 23:01:02 -04:00
1a0486bb96
Fix model needing to be loaded on GPU to generate the sigmas.
2024-04-04 22:08:49 -04:00
c6bd456c45
Make zero denoise a NOP.
2024-04-04 11:41:27 -04:00
fcfd2bdf8a
Small cleanup.
2024-04-04 11:16:49 -04:00
0542088ef8
Refactor sampler code for more advanced sampler nodes part 2.
2024-04-04 01:26:41 -04:00
57753c964a
Refactor sampling code for more advanced sampler nodes.
2024-04-03 22:09:51 -04:00
6c6a39251f
Fix saving text encoder in fp8.
2024-04-02 11:46:34 -04:00
e6482fbbfc
Refactor calc_cond_uncond_batch into calc_cond_batch.
...
calc_cond_batch can take an arbitrary amount of cond inputs.
Added a calc_cond_uncond_batch wrapper with a warning so custom nodes
won't break.
2024-04-01 18:07:47 -04:00
575acb69e4
IP2P model loading support.
...
This is the code to load the model and inference it with only a text
prompt. This commit does not contain the nodes to properly use it with an
image input.
This supports both the original SD1 instructpix2pix model and the
diffusers SDXL one.
2024-03-31 03:10:28 -04:00
94a5a67c32
Cleanup to support different types of inpaint models.
2024-03-29 14:44:13 -04:00
5d8898c056
Fix some performance issues with weight loading and unloading.
...
Lower peak memory usage when changing model.
Fix case where model weights would be unloaded and reloaded.
2024-03-28 18:04:42 -04:00
327ca1313d
Support SDXS 0.9
2024-03-27 23:58:58 -04:00
ae77590b4e
dora_scale support for lora file.
2024-03-25 18:09:23 -04:00
c6de09b02e
Optimize memory unload strategy for more optimized performance.
2024-03-24 02:36:30 -04:00
0624838237
Add inverse noise scaling function.
2024-03-21 14:49:11 -04:00
5d875d77fe
Fix regression with lcm not working with batches.
2024-03-20 20:48:54 -04:00
4b9005e949
Fix regression with model merging.
2024-03-20 13:56:12 -04:00
c18a203a8a
Don't unload model weights for non weight patches.
2024-03-20 02:27:58 -04:00
150a3e946f
Make LCM sampler use the model noise scaling function.
2024-03-20 01:35:59 -04:00
40e124c6be
SV3D support.
2024-03-18 16:54:13 -04:00
cacb022c4a
Make saved SD1 checkpoints match more closely the official one.
2024-03-18 00:26:23 -04:00
d7897fff2c
Move cascade scale factor from stage_a to latent_formats.py
2024-03-16 14:49:35 -04:00
f2fe635c9f
SamplerDPMAdaptative node to test the different options.
2024-03-15 22:36:10 -04:00
448d9263a2
Fix control loras breaking.
2024-03-14 09:30:21 -04:00
db8b59ecff
Lower memory usage for loras in lowvram mode at the cost of perf.
2024-03-13 20:07:27 -04:00
2a813c3b09
Switch some more prints to logging.
2024-03-11 16:34:58 -04:00
0ed72befe1
Change log levels.
...
Logging level now defaults to info. --verbose sets it to debug.
2024-03-11 13:54:56 -04:00
65397ce601
Replace prints with logging and add --verbose argument.
2024-03-10 12:14:23 -04:00
5f60ee246e
Support loading the sr cascade controlnet.
2024-03-07 01:22:48 -05:00
03e6e81629
Set upscale algorithm to bilinear for stable cascade controlnet.
2024-03-06 02:59:40 -05:00
03e83bb5d0
Support stable cascade canny controlnet.
2024-03-06 02:25:42 -05:00
10860bcd28
Add compression_ratio to controlnet code.
2024-03-05 15:15:20 -05:00
478f71a249
Remove useless check.
2024-03-04 08:51:25 -05:00
12c1080ebc
Simplify differential diffusion code.
2024-03-03 15:34:42 -05:00
727021bdea
Implement Differential Diffusion ( #2876 )
...
* Implement Differential Diffusion
* Cleanup.
* Fix.
* Masks should be applied at full strength.
* Fix colors.
* Register the node.
* Cleaner code.
* Fix issue with getting unipc sampler.
* Adjust thresholds.
* Switch to linear thresholds.
* Only calculate nearest_idx on valid thresholds.
2024-03-03 15:34:13 -05:00
1abf8374ec
utils.set_attr can now be used to set any attribute.
...
The old set_attr has been renamed to set_attr_param.
2024-03-02 17:27:23 -05:00
dce3555339
Add some tesla pascal GPUs to the fp16 working but slower list.
2024-03-02 17:16:31 -05:00
51df846598
Let conditioning specify custom concat conds.
2024-03-02 11:44:06 -05:00
9f71e4b62d
Let model patches patch sub objects.
2024-03-02 11:43:27 -05:00
00425563c0
Cleanup: Use sampling noise scaling function for inpainting.
2024-03-01 14:24:41 -05:00
c62e836167
Move noise scaling to object with sampling math.
2024-03-01 12:54:38 -05:00
cb7c3a2921
Allow image_only_indicator to be None.
2024-02-29 13:11:30 -05:00
b3e97fc714
Koala 700M and 1B support.
...
Use the UNET Loader node to load the unet file to use them.
2024-02-28 12:10:11 -05:00
37a86e4618
Remove duplicate text_projection key from some saved models.
2024-02-28 03:57:41 -05:00
8daedc5bf2
Auto detect playground v2.5 model.
2024-02-27 18:03:03 -05:00
d46583ecec
Playground V2.5 support with ModelSamplingContinuousEDM node.
...
Use ModelSamplingContinuousEDM with edm_playground_v2.5 selected.
2024-02-27 15:12:33 -05:00
1e0fcc9a65
Make XL checkpoints save in a more standard format.
2024-02-27 02:07:40 -05:00
b416be7d78
Make the text projection saved in the checkpoint the right format.
2024-02-27 01:52:23 -05:00
03c47fc0f2
Add a min_length property to tokenizer class.
2024-02-26 21:36:37 -05:00
8ac69f62e5
Make return_projected_pooled setable from the __init__
2024-02-25 14:49:13 -05:00
ca7c310a0e
Support loading old CLIP models saved with CLIPSave.
2024-02-25 08:29:12 -05:00
c2cb8e889b
Always return unprojected pooled output for gligen.
2024-02-25 07:33:13 -05:00
1cb3f6a83b
Move text projection into the CLIP model code.
...
Fix issue with not loading the SSD1B clip correctly.
2024-02-25 01:41:08 -05:00
6533b172c1
Support text encoder text_projection in lora.
2024-02-24 23:50:46 -05:00
1e5f0f66be
Support lora keys with lora_prior_unet_ and lora_prior_te_
2024-02-23 12:21:20 -05:00
e1cb93c383
Fix model and cond transformer options merge
2024-02-23 01:19:43 -07:00
10847dfafe
Cleanup uni_pc inpainting.
...
This causes some small changes to the uni pc inpainting behavior but it
seems to improve results slightly.
2024-02-23 02:39:35 -05:00
18c151b3e3
Add some latent2rgb matrices for previews.
2024-02-20 10:57:24 -05:00
0d0fbabd1d
Pass pooled CLIP to stage b.
2024-02-20 04:24:45 -05:00
c6b7a157ed
Align simple scheduling closer to official stable cascade scheduler.
2024-02-20 04:24:39 -05:00
88f300401c
Enable fp16 by default on mps.
2024-02-19 12:00:48 -05:00
e93cdd0ad0
Remove print.
2024-02-19 11:47:26 -05:00
3711b31dff
Support Stable Cascade in checkpoint format.
2024-02-19 11:20:48 -05:00
d91f45ef28
Some cleanups to how the text encoders are loaded.
2024-02-19 10:46:30 -05:00
a7b5eaa7e3
Forgot to commit this.
2024-02-19 04:25:46 -05:00
3b2e579926
Support loading the Stable Cascade effnet and previewer as a VAE.
...
The effnet can be used to encode images for img2img with Stage C.
2024-02-19 04:10:01 -05:00
dccca1daa5
Fix gligen lowvram mode.
2024-02-18 02:20:23 -05:00
8b60d33bb7
Add ModelSamplingStableCascade to control the shift sampling parameter.
...
shift is 2.0 by default on Stage C and 1.0 by default on Stage B.
2024-02-18 00:55:23 -05:00
6bcf57ff10
Fix attention masks properly for multiple batches.
2024-02-17 16:15:18 -05:00
11e3221f1f
fp8 weight support for Stable Cascade.
2024-02-17 15:27:31 -05:00
f8706546f3
Fix attention mask batch size in some attention functions.
2024-02-17 15:22:21 -05:00
3b9969c1c5
Properly fix attention masks in CLIP with batches.
2024-02-17 12:13:13 -05:00
5b40e7a5ed
Implement shift schedule for cascade stage C.
2024-02-17 11:38:47 -05:00
929e266f3e
Manual cast for bf16 on older GPUs.
2024-02-17 09:01:17 -05:00
6c875d846b
Fix clip attention mask issues on some hardware.
2024-02-17 07:53:52 -05:00
805c36ac9c
Make Stable Cascade work on old pytorch 2.0
2024-02-17 00:42:30 -05:00
f2d1d16f4f
Support Stable Cascade Stage B lite.
2024-02-16 23:41:23 -05:00
0b3c50480c
Make --force-fp32 disable loading models in bf16.
2024-02-16 23:01:54 -05:00
97d03ae04a
StableCascade CLIP model support.
2024-02-16 13:29:04 -05:00
667c92814e
Stable Cascade Stage B.
2024-02-16 13:02:03 -05:00
f83109f09b
Stable Cascade Stage C.
2024-02-16 10:55:08 -05:00
5e06baf112
Stable Cascade Stage A.
2024-02-16 06:30:39 -05:00
aeaeca10bd
Small refactor of is_device_* functions.
2024-02-15 21:10:10 -05:00
38b7ac6e26
Don't init the CLIP model when the checkpoint has no CLIP weights.
2024-02-13 00:01:08 -05:00
7dd352cbd7
Merge branch 'feature_expose_discard_penultimate_sigma' of https://github.com/blepping/ComfyUI
2024-02-11 12:23:30 -05:00
f44225fd5f
Fix infinite while loop being possible in ddim_scheduler
2024-02-09 17:11:34 -06:00
25a4805e51
Add a way to set different conditioning for the controlnet.
2024-02-09 14:13:31 -05:00
a352c021ec
Allow custom samplers to request discard penultimate sigma
2024-02-08 02:24:23 -07:00
c661a8b118
Don't use numpy for calculating sigmas.
2024-02-07 18:52:51 -05:00
236bda2683
Make minimum tile size the size of the overlap.
2024-02-05 01:29:26 -05:00
66e28ef45c
Don't use is_bf16_supported to check for fp16 support.
2024-02-04 20:53:35 -05:00
24129d78e6
Speed up SDXL on 16xx series with fp16 weights and manual cast.
2024-02-04 13:23:43 -05:00
4b0239066d
Always use fp16 for the text encoders.
2024-02-02 10:02:49 -05:00
da7a8df0d2
Put VAE key name in model config.
2024-01-30 02:24:38 -05:00
89507f8adf
Remove some unused imports.
2024-01-25 23:42:37 -05:00
05cd00695a
typo fix - calculate_sigmas_scheduler ( #2619 )
...
self.scheduler -> scheduler_name
Co-authored-by: Lt.Dr.Data <lt.dr.data@gmail.com>
2024-01-23 03:47:01 -05:00
4871a36458
Cleanup some unused imports.
2024-01-21 21:51:22 -05:00
78a70fda87
Remove useless import.
2024-01-19 15:38:05 -05:00
d76a04b6ea
Add unfinished ImageOnlyCheckpointSave node to save a SVD checkpoint.
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This node is unfinished, SVD checkpoints saved with this node will
work with ComfyUI but not with anything else.
2024-01-17 19:46:21 -05:00
f9e55d8463
Only auto enable bf16 VAE on nvidia GPUs that actually support it.
2024-01-15 03:10:22 -05:00
2395ae740a
Make unclip more deterministic.
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Pass a seed argument note that this might make old unclip images different.
2024-01-14 17:28:31 -05:00
53c8a99e6c
Make server storage the default.
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Remove --server-storage argument.
2024-01-11 17:21:40 -05:00
977eda19a6
Don't round noise mask.
2024-01-11 03:29:58 -05:00
10f2609fdd
Add InpaintModelConditioning node.
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This is an alternative to VAE Encode for inpaint that should work with
lower denoise.
This is a different take on #2501
2024-01-11 03:15:27 -05:00
1a57423d30
Fix issue when using multiple t2i adapters with batched images.
2024-01-10 04:00:49 -05:00
6a7bc35db8
Use basic attention implementation for small inputs on old pytorch.
2024-01-09 13:46:52 -05:00
235727fed7
Store user settings/data on the server and multi user support ( #2160 )
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* wip per user data
* Rename, hide menu
* better error
rework default user
* store pretty
* Add userdata endpoints
Change nodetemplates to userdata
* add multi user message
* make normal arg
* Fix tests
* Ignore user dir
* user tests
* Changed to default to browser storage and add server-storage arg
* fix crash on empty templates
* fix settings added before load
* ignore parse errors
2024-01-08 17:06:44 -05:00
c6951548cf
Update optimized_attention_for_device function for new functions that
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support masked attention.
2024-01-07 13:52:08 -05:00
aaa9017302
Add attention mask support to sub quad attention.
2024-01-07 04:13:58 -05:00
0c2c9fbdfa
Support attention mask in split attention.
2024-01-06 13:16:48 -05:00
3ad0191bfb
Implement attention mask on xformers.
2024-01-06 04:33:03 -05:00
8c6493578b
Implement noise augmentation for SD 4X upscale model.
2024-01-03 14:27:11 -05:00
ef4f6037cb
Fix model patches not working in custom sampling scheduler nodes.
2024-01-03 12:16:30 -05:00
a7874d1a8b
Add support for the stable diffusion x4 upscaling model.
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This is an old model.
Load the checkpoint like a regular one and use the new
SD_4XUpscale_Conditioning node.
2024-01-03 03:37:56 -05:00
2c4e92a98b
Fix regression.
2024-01-02 14:41:33 -05:00
5eddfdd80c
Refactor VAE code.
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Replace constants with downscale_ratio and latent_channels.
2024-01-02 13:24:34 -05:00
a47f609f90
Auto detect out_channels from model.
2024-01-02 01:50:57 -05:00
79f73a4b33
Remove useless code.
2024-01-02 01:50:29 -05:00
1b103e0cb2
Add argument to run the VAE on the CPU.
2023-12-30 05:49:07 -05:00
12e822c6c8
Use function to calculate model size in model patcher.
2023-12-28 21:46:20 -05:00
e1e322cf69
Load weights that can't be lowvramed to target device.
2023-12-28 21:41:10 -05:00
c782144433
Fix clip vision lowvram mode not working.
2023-12-27 13:50:57 -05:00
f21bb41787
Fix taesd VAE in lowvram mode.
2023-12-26 12:52:21 -05:00
61b3f15f8f
Fix lowvram mode not working with unCLIP and Revision code.
2023-12-26 05:02:02 -05:00
d0165d819a
Fix SVD lowvram mode.
2023-12-24 07:13:18 -05:00
a252963f95
--disable-smart-memory now unloads everything like it did originally.
2023-12-23 04:25:06 -05:00
36a7953142
Greatly improve lowvram sampling speed by getting rid of accelerate.
...
Let me know if this breaks anything.
2023-12-22 14:38:45 -05:00
261bcbb0d9
A few missing comfy ops in the VAE.
2023-12-22 04:05:42 -05:00
9a7619b72d
Fix regression with inpaint model.
2023-12-19 02:32:59 -05:00
571ea8cdcc
Fix SAG not working with cfg 1.0
2023-12-18 17:03:32 -05:00
8cf1daa108
Fix SDXL area composition sometimes not using the right pooled output.
2023-12-18 12:54:23 -05:00
2258f85159
Support stable zero 123 model.
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To use it use the ImageOnlyCheckpointLoader to load the checkpoint and
the new Stable_Zero123 node.
2023-12-18 03:48:04 -05:00
2f9d6a97ec
Add --deterministic option to make pytorch use deterministic algorithms.
2023-12-17 16:59:21 -05:00
e45d920ae3
Don't resize clip vision image when the size is already good.
2023-12-16 03:06:10 -05:00
13e6d5366e
Switch clip vision to manual cast.
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Make it use the same dtype as the text encoder.
2023-12-16 02:47:26 -05:00
719fa0866f
Set clip vision model in eval mode so it works without inference mode.
2023-12-15 18:53:08 -05:00
574363a8a6
Implement Perp-Neg
2023-12-16 00:28:16 +05:30
a5056cfb1f
Remove useless code.
2023-12-15 01:28:16 -05:00
329c571993
Improve code legibility.
2023-12-14 11:41:49 -05:00
6c5990f7db
Fix cfg being calculated more than once if sampler_cfg_function.
2023-12-13 20:28:04 -05:00
ba04a87d10
Refactor and improve the sag node.
...
Moved all the sag related code to comfy_extras/nodes_sag.py
2023-12-13 16:11:26 -05:00
6761233e9d
Implement Self-Attention Guidance ( #2201 )
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* First SAG test
* need to put extra options on the model instead of patcher
* no errors and results seem not-broken
* Use @ashen-uncensored formula, which works better!!!
* Fix a crash when using weird resolutions. Remove an unnecessary UNet call
* Improve comments, optimize memory in blur routine
* SAG works with sampler_cfg_function
2023-12-13 15:52:11 -05:00
b454a67bb9
Support segmind vega model.
2023-12-12 19:09:53 -05:00
824e4935f5
Add dtype parameter to VAE object.
2023-12-12 12:03:29 -05:00
32b7e7e769
Add manual cast to controlnet.
2023-12-12 11:32:42 -05:00
3152023fbc
Use inference dtype for unet memory usage estimation.
2023-12-11 23:50:38 -05:00
77755ab8db
Refactor comfy.ops
...
comfy.ops -> comfy.ops.disable_weight_init
This should make it more clear what they actually do.
Some unused code has also been removed.
2023-12-11 23:27:13 -05:00
b0aab1e4ea
Add an option --fp16-unet to force using fp16 for the unet.
2023-12-11 18:36:29 -05:00
ba07cb748e
Use faster manual cast for fp8 in unet.
2023-12-11 18:24:44 -05:00
57926635e8
Switch text encoder to manual cast.
...
Use fp16 text encoder weights for CPU inference to lower memory usage.
2023-12-10 23:00:54 -05:00
340177e6e8
Disable non blocking on mps.
2023-12-10 01:30:35 -05:00
614b7e731f
Implement GLora.
2023-12-09 18:15:26 -05:00
cb63e230b4
Make lora code a bit cleaner.
2023-12-09 14:15:09 -05:00
174eba8e95
Use own clip vision model implementation.
2023-12-09 11:56:31 -05:00
97015b6b38
Cleanup.
2023-12-08 16:02:08 -05:00
a4ec54a40d
Add linear_start and linear_end to model_config.sampling_settings
2023-12-08 02:49:30 -05:00
9ac0b487ac
Make --gpu-only put intermediate values in GPU memory instead of cpu.
2023-12-08 02:35:45 -05:00
efb704c758
Support attention masking in CLIP implementation.
2023-12-07 02:51:02 -05:00
fbdb14d4c4
Cleaner CLIP text encoder implementation.
...
Use a simple CLIP model implementation instead of the one from
transformers.
This will allow some interesting things that would too hackish to implement
using the transformers implementation.
2023-12-06 23:50:03 -05:00
2db86b4676
Slightly faster lora applying.
2023-12-06 05:13:14 -05:00
1bbd65ab30
Missed this one.
2023-12-05 12:48:41 -05:00
9b655d4fd7
Fix memory issue with control loras.
2023-12-04 21:55:19 -05:00
26b1c0a771
Fix control lora on fp8.
2023-12-04 13:47:41 -05:00
be3468ddd5
Less useless downcasting.
2023-12-04 12:53:46 -05:00
ca82ade765
Use .itemsize to get dtype size for fp8.
2023-12-04 11:52:06 -05:00
31b0f6f3d8
UNET weights can now be stored in fp8.
...
--fp8_e4m3fn-unet and --fp8_e5m2-unet are the two different formats
supported by pytorch.
2023-12-04 11:10:00 -05:00
af365e4dd1
All the unet ops with weights are now handled by comfy.ops
2023-12-04 03:12:18 -05:00
61a123a1e0
A different way of handling multiple images passed to SVD.
...
Previously when a list of 3 images [0, 1, 2] was used for a 6 frame video
they were concated like this:
[0, 1, 2, 0, 1, 2]
now they are concated like this:
[0, 0, 1, 1, 2, 2]
2023-12-03 03:31:47 -05:00
c97be4db91
Support SD2.1 turbo checkpoint.
2023-11-30 19:27:03 -05:00
983ebc5792
Use smart model management for VAE to decrease latency.
2023-11-28 04:58:51 -05:00
c45d1b9b67
Add a function to load a unet from a state dict.
2023-11-27 17:41:29 -05:00
f30b992b18
.sigma and .timestep now return tensors on the same device as the input.
2023-11-27 16:41:33 -05:00
13fdee6abf
Try to free memory for both cond+uncond before inference.
2023-11-27 14:55:40 -05:00
be71bb5e13
Tweak memory inference calculations a bit.
2023-11-27 14:04:16 -05:00
39e75862b2
Fix regression from last commit.
2023-11-26 03:43:02 -05:00
50dc39d6ec
Clean up the extra_options dict for the transformer patches.
...
Now everything in transformer_options gets put in extra_options.
2023-11-26 03:13:56 -05:00
5d6dfce548
Fix importing diffusers unets.
2023-11-24 20:35:29 -05:00
3e5ea74ad3
Make buggy xformers fall back on pytorch attention.
2023-11-24 03:55:35 -05:00
871cc20e13
Support SVD img2vid model.
2023-11-23 19:41:33 -05:00
410bf07771
Make VAE memory estimation take dtype into account.
2023-11-22 18:17:19 -05:00
32447f0c39
Add sampling_settings so models can specify specific sampling settings.
2023-11-22 17:24:00 -05:00
c3ae99a749
Allow controlling downscale and upscale methods in PatchModelAddDownscale.
2023-11-22 03:23:16 -05:00
72741105a6
Remove useless code.
2023-11-21 17:27:28 -05:00
6a491ebe27
Allow model config to preprocess the vae state dict on load.
2023-11-21 16:29:18 -05:00
cd4fc77d5f
Add taesd and taesdxl to VAELoader node.
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They will show up if both the taesd_encoder and taesd_decoder or taesdxl
model files are present in the models/vae_approx directory.
2023-11-21 12:54:19 -05:00
ce67dcbcda
Make it easy for models to process the unet state dict on load.
2023-11-20 23:17:53 -05:00
d9d8702d8d
percent_to_sigma now returns a float instead of a tensor.
2023-11-18 23:20:29 -05:00
0cf4e86939
Add some command line arguments to store text encoder weights in fp8.
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Pytorch supports two variants of fp8:
--fp8_e4m3fn-text-enc (the one that seems to give better results)
--fp8_e5m2-text-enc
2023-11-17 02:56:59 -05:00
107e78b1cb
Add support for loading SSD1B diffusers unet version.
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Improve diffusers model detection.
2023-11-16 23:12:55 -05:00
7e3fe3ad28
Make deep shrink behave like it should.
2023-11-16 15:26:28 -05:00
9f00a18095
Fix potential issues.
2023-11-16 14:59:54 -05:00
7ea6bb038c
Print warning when controlnet can't be applied instead of crashing.
2023-11-16 12:57:12 -05:00
dcec1047e6
Invert the start and end percentages in the code.
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This doesn't affect how percentages behave in the frontend but breaks
things if you relied on them in the backend.
percent_to_sigma goes from 0 to 1.0 instead of 1.0 to 0 for less confusion.
Make percent 0 return an extremely large sigma and percent 1.0 return a
zero one to fix imprecision.
2023-11-16 04:23:44 -05:00
57eea0efbb
heunpp2 sampler.
2023-11-14 23:50:55 -05:00
728613bb3e
Fix last pr.
2023-11-14 14:41:31 -05:00
ec3d0ab432
Merge branch 'master' of https://github.com/Jannchie/ComfyUI
2023-11-14 14:38:07 -05:00
c962884a5c
Make bislerp work on GPU.
2023-11-14 11:38:36 -05:00
420beeeb05
Clean up and refactor sampler code.
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This should make it much easier to write custom nodes with kdiffusion type
samplers.
2023-11-14 00:39:34 -05:00
f2e49b1d57
fix: adaptation to older versions of pytroch
2023-11-14 14:32:05 +09:00
94cc718e9c
Add a way to add patches to the input block.
2023-11-14 00:08:12 -05:00
7339479b10
Disable xformers when it can't load properly.
2023-11-13 12:31:10 -05:00
4781819a85
Make memory estimation aware of model dtype.
2023-11-12 04:28:26 -05:00
dd4ba68b6e
Allow different models to estimate memory usage differently.
2023-11-12 04:03:52 -05:00
2c9dba8dc0
sampling_function now has the model object as the argument.
2023-11-12 03:45:10 -05:00
8d80584f6a
Remove useless argument from uni_pc sampler.
2023-11-12 01:25:33 -05:00
248aa3e563
Fix bug.
2023-11-11 12:20:16 -05:00
4a8a839b40
Add option to use in place weight updating in ModelPatcher.
2023-11-11 01:11:12 -05:00
412d3ff57d
Refactor.
2023-11-11 01:11:06 -05:00
58d5d71a93
Working RescaleCFG node.
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This was broken because of recent changes so I fixed it and moved it from
the experiments repo.
2023-11-10 20:52:10 -05:00
3e0033ef30
Fix model merge bug.
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Unload models before getting weights for model patching.
2023-11-10 03:19:05 -05:00
002aefa382
Support lcm models.
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Use the "lcm" sampler to sample them, you also have to use the
ModelSamplingDiscrete node to set them as lcm models to use them properly.
2023-11-09 18:30:22 -05:00
ec12000136
Add support for full diff lora keys.
2023-11-08 22:05:31 -05:00
064d7583eb
Add a CONDConstant for passing non tensor conds to unet.
2023-11-08 01:59:09 -05:00
794dd2064d
Fix typo.
2023-11-07 23:41:55 -05:00
0a6fd49a3e
Print leftover keys when using the UNETLoader.
2023-11-07 22:15:55 -05:00
fe40109b57
Fix issue with object patches not being copied with patcher.
2023-11-07 22:15:15 -05:00
a527d0c795
Code refactor.
2023-11-07 19:33:40 -05:00
2a23ba0b8c
Fix unet ops not entirely on GPU.
2023-11-07 04:30:37 -05:00
844dbf97a7
Add: advanced->model->ModelSamplingDiscrete node.
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This allows changing the sampling parameters of the model (eps or vpred)
or set the model to use zsnr.
2023-11-07 03:28:53 -05:00
656c0b5d90
CLIP code refactor and improvements.
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More generic clip model class that can be used on more types of text
encoders.
Don't apply weighting algorithm when weight is 1.0
Don't compute an empty token output when it's not needed.
2023-11-06 14:17:41 -05:00
b3fcd64c6c
Make SDTokenizer class work with more types of tokenizers.
2023-11-06 01:09:18 -05:00
7e455adc07
fix unet_wrapper_function name in ModelPatcher
2023-11-05 17:11:44 +08:00
1ffa8858e7
Move model sampling code to comfy/model_sampling.py
2023-11-04 01:32:23 -04:00
ae2acfc21b
Don't convert Nan to zero.
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Converting Nan to zero is a bad idea because it makes it hard to tell when
something went wrong.
2023-11-03 13:13:15 -04:00
d2e27b48f1
sampler_cfg_function now gets the noisy output as argument again.
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This should make things that use sampler_cfg_function behave like before.
Added an input argument for those that want the denoised output.
This means you can calculate the x0 prediction of the model by doing:
(input - cond) for example.
2023-11-01 21:24:08 -04:00
2455aaed8a
Allow model or clip to be None in load_lora_for_models.
2023-11-01 20:27:20 -04:00
ecb80abb58
Allow ModelSamplingDiscrete to be instantiated without a model config.
2023-11-01 19:13:03 -04:00
e73ec8c4da
Not used anymore.
2023-11-01 00:01:30 -04:00
111f1b5255
Fix some issues with sampling precision.
2023-10-31 23:49:29 -04:00
7c0f255de1
Clean up percent start/end and make controlnets work with sigmas.
2023-10-31 22:14:32 -04:00
a268a574fa
Remove a bunch of useless code.
...
DDIM is the same as euler with a small difference in the inpaint code.
DDIM uses randn_like but I set a fixed seed instead.
I'm keeping it in because I'm sure if I remove it people are going to
complain.
2023-10-31 18:11:29 -04:00
1777b54d02
Sampling code changes.
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apply_model in model_base now returns the denoised output.
This means that sampling_function now computes things on the denoised
output instead of the model output. This should make things more consistent
across current and future models.
2023-10-31 17:33:43 -04:00
c837a173fa
Fix some memory issues in sub quad attention.
2023-10-30 15:30:49 -04:00
125b03eead
Fix some OOM issues with split attention.
2023-10-30 13:14:11 -04:00
a12cc05323
Add --max-upload-size argument, the default is 100MB.
2023-10-29 03:55:46 -04:00
2a134bfab9
Fix checkpoint loader with config.
2023-10-27 22:13:55 -04:00
e60ca6929a
SD1 and SD2 clip and tokenizer code is now more similar to the SDXL one.
2023-10-27 15:54:04 -04:00
6ec3f12c6e
Support SSD1B model and make it easier to support asymmetric unets.
2023-10-27 14:45:15 -04:00
434ce25ec0
Restrict loading embeddings from embedding folders.
2023-10-27 02:54:13 -04:00
723847f6b3
Faster clip image processing.
2023-10-26 01:53:01 -04:00
a373367b0c
Fix some OOM issues with split and sub quad attention.
2023-10-25 20:17:28 -04:00
7fbb217d3a
Fix uni_pc returning noisy image when steps <= 3
2023-10-25 16:08:30 -04:00
3783cb8bfd
change 'c_adm' to 'y' in ControlNet.get_control
2023-10-25 08:24:32 -05:00
d1d2fea806
Pass extra conds directly to unet.
2023-10-25 00:07:53 -04:00
036f88c621
Refactor to make it easier to add custom conds to models.
2023-10-24 23:31:12 -04:00
3fce8881ca
Sampling code refactor to make it easier to add more conds.
2023-10-24 03:38:41 -04:00
comfyanonymous
Alex "mcmonkey" Goodwin
Chenlei Hu
Mario Klingemann
Janek Mann
Dr.Lt.Data
Simon Lui
Dango233
JettHu
Garrett Sutula
Jedrzej Kosinski
kk-89
Shiimizu
logtd
blepping
pythongosssss
Hari
Rafie Walker
Jianqi Pan
gameltb