63a7e8edba
More aggressive batch splitting.
2024-08-03 11:53:30 -04:00
ea03c9dcd2
Better per model memory usage estimations.
2024-08-02 18:09:24 -04:00
3a9ee995cf
Tweak regular SD memory formula.
2024-08-02 17:34:30 -04:00
47da42d928
Better Flux vram estimation.
2024-08-02 17:02:35 -04:00
ce9ac2fe05
Fix clip_g/clip_l mixup ( #4168 )
2024-08-01 21:40:56 -04:00
e638f2858a
Hack to make all resolutions work on Flux models.
2024-08-01 21:39:18 -04:00
d420bc792a
Tweak the memory usage formulas for Flux and SD.
2024-08-01 17:53:45 -04:00
d965474aaa
Make ComfyUI split batches a higher priority than weight offload.
2024-08-01 16:39:59 -04:00
1c61361fd2
Fast preview support for Flux.
2024-08-01 16:28:11 -04:00
a6decf1e62
Fix bfloat16 potentially not being enabled on mps.
2024-08-01 16:18:44 -04:00
48eb1399c0
Try to fix mac issue.
2024-08-01 13:41:27 -04:00
d7430a1651
Add a way to load the diffusion model in fp8 with UNETLoader node.
2024-08-01 13:30:51 -04:00
f2b80f95d2
Better Mac support on flux model.
2024-08-01 13:10:50 -04:00
1aa9cf3292
Make lowvram more aggressive on low memory machines.
2024-08-01 12:11:57 -04:00
eb96c3bd82
Fix .sft file loading (they are safetensors files).
2024-08-01 11:32:58 -04:00
5f98de7697
Load flux t5 in fp8 if weights are in fp8.
2024-08-01 11:05:56 -04:00
8d34211a7a
Fix old python versions no longer working.
2024-08-01 09:57:20 -04:00
1589b58d3e
Basic Flux Schnell and Flux Dev model implementation.
2024-08-01 09:49:29 -04:00
7ad574bffd
Mac supports bf16 just make sure you are using the latest pytorch.
2024-08-01 09:42:17 -04:00
e2382b6adb
Make lowvram less aggressive when there are large amounts of free memory.
2024-08-01 03:58:58 -04:00
c24f897352
Fix to get fp8 working on T5 base.
2024-07-31 02:00:19 -04:00
a5991a7aa6
Fix hunyuan dit text encoder weights always being in fp32.
2024-07-31 01:34:57 -04:00
2c038ccef0
Lower CLIP memory usage by a bit.
2024-07-31 01:32:35 -04:00
b85216a3c0
Lower T5 memory usage by a few hundred MB.
2024-07-31 00:52:34 -04:00
82cae45d44
Fix potential issue with non clip text embeddings.
2024-07-30 14:41:13 -04:00
25853d0be8
Use common function for casting weights to input.
2024-07-30 10:49:14 -04:00
79040635da
Remove unnecessary code.
2024-07-30 05:01:34 -04:00
66d35c07ce
Improve artifacts on hydit, auraflow and SD3 on specific resolutions.
...
This breaks seeds for resolutions that are not a multiple of 16 in pixel
resolution by using circular padding instead of reflection padding but
should lower the amount of artifacts when doing img2img at those
resolutions.
2024-07-29 20:48:50 -04:00
4ba7fa0244
Refactor: Move sd2_clip.py to text_encoders folder.
2024-07-28 01:19:20 -04:00
cf4418b806
Don't treat Bert model like CLIP.
...
Bert can accept up to 512 tokens so any prompt with more than 77 should
just be passed to it as is instead of splitting it up like CLIP.
2024-07-26 13:08:12 -04:00
8328a2d8cd
Let hunyuan dit work with all prompt lengths.
2024-07-26 12:11:32 -04:00
afe732bef9
Hunyuan dit can now accept longer prompts.
2024-07-26 11:52:58 -04:00
a9ac56fc0d
Own BertModel implementation that works with lowvram.
2024-07-26 04:47:17 -04:00
25b51b1a8b
Hunyuan DiT lora support.
2024-07-25 22:42:54 -04:00
a5f4292f9f
Basic hunyuan dit implementation. ( #4102 )
...
* Let tokenizers return weights to be stored in the saved checkpoint.
* Basic hunyuan dit implementation.
* Fix some resolutions not working.
* Support hydit checkpoint save.
* Init with right dtype.
* Switch to optimized attention in pooler.
* Fix black images on hunyuan dit.
2024-07-25 18:21:08 -04:00
f87810cd3e
Let tokenizers return weights to be stored in the saved checkpoint.
2024-07-25 10:52:09 -04:00
10c919f4c7
Make it possible to load tokenizer data from checkpoints.
2024-07-24 16:43:53 -04:00
10b43ceea5
Remove duplicate code.
2024-07-24 01:12:59 -04:00
0a4c49c57c
Support MT5.
2024-07-23 15:35:28 -04:00
88ed893034
Allow SPieceTokenizer to load model from a byte string.
2024-07-23 14:17:42 -04:00
334ba48cea
More generic unet prefix detection code.
2024-07-23 14:13:32 -04:00
14764aa2e2
Rename LLAMATokenizer to SPieceTokenizer.
2024-07-22 12:21:45 -04:00
b2c995f623
"auto" type is only relevant to the SetUnionControlNetType node.
2024-07-22 11:30:38 -04:00
4151fbfa8a
Add error message on union controlnet ( #4081 )
2024-07-22 11:27:32 -04:00
95fa9545f1
Only append zero to noise schedule if last sigma isn't zero.
2024-07-20 12:37:30 -04:00
6ab8cad22e
Implement beta sampling scheduler.
...
It is based on: https://arxiv.org/abs/2407.12173
Add "beta" to the list of schedulers and the BetaSamplingScheduler node.
2024-07-19 18:05:09 -04:00
855789403b
support clip-vit-large-patch14-336 ( #4042 )
...
* support clip-vit-large-patch14-336
* support clip-vit-large-patch14-336
2024-07-17 13:12:50 -04:00
6f7869f365
Get clip vision image size from config.
2024-07-17 13:05:38 -04:00
281ad42df4
Fix lowvram union controlnet bug.
2024-07-17 10:16:31 -04:00
c5a48b15bd
Make default hash lib configurable without code changes via CLI argument ( #3947 )
...
* cli_args: Add --duplicate-check-hash-function.
* server.py: compare_image_hash configurable hash function
Uses an argument added in cli_args to specify the type of hashing to default to for duplicate hash checking. Uses an `eval()` to identify the specific hashlib class to utilize, but ultimately safely operates because we have specific options and only those options/choices in the arg parser. So we don't have any unsafe input there.
* Add hasher() to node_helpers
* hashlib selection moved to node_helpers
* default-hashing-function instead of dupe checking hasher
This makes a default-hashing-function option instead of previous selected option.
* Use args.default_hashing_function
* Use safer handling for node_helpers.hasher()
Uses a safer handling method than `eval` to evaluate default hashing function.
* Stray parentheses are evil.
* Indentation fix.
Somehow when I hit save I didn't notice I missed a space to make indentation work proper. Oops!
2024-07-16 18:27:09 -04:00
8270c62530
Add SetUnionControlNetType to set the type of the union controlnet model.
2024-07-16 17:04:53 -04:00
821f93872e
Allow model sampling to set number of timesteps.
2024-07-16 15:18:40 -04:00
99458e8aca
Add `FrontendManager` to manage non-default front-end impl ( #3897 )
...
* Add frontend manager
* Add tests
* nit
* Add unit test to github CI
* Fix path
* nit
* ignore
* Add logging
* Install test deps
* Remove 'stable' keyword support
* Update test
* Add web-root arg
* Rename web-root to front-end-root
* Add test on non-exist version number
* Use repo owner/name to replace hard coded provider list
* Inline cmd args
* nit
* Fix unit test
2024-07-16 11:26:11 -04:00
1305fb294c
Refactor: Move some code to the comfy/text_encoders folder.
2024-07-15 17:36:24 -04:00
7914c47d5a
Quick fix for the promax controlnet.
2024-07-14 10:07:36 -04:00
a3dffc447a
Support AuraFlow Lora and loading model weights in diffusers format.
...
You can load model weights in diffusers format using the UNETLoader node.
2024-07-13 13:51:40 -04:00
29c2e26724
Better tokenizing code for AuraFlow.
2024-07-12 01:15:25 -04:00
8e012043a9
Add a ModelSamplingAuraFlow node to change the shift value.
...
Set the default AuraFlow shift value to 1.73 (sqrt(3)).
2024-07-11 17:57:36 -04:00
9f291d75b3
AuraFlow model implementation.
2024-07-11 16:52:26 -04:00
f45157e3ac
Fix error message never being shown.
2024-07-11 11:46:51 -04:00
5e1fced639
Cleaner support for loading different diffusion model types.
2024-07-11 11:37:31 -04:00
ffe0bb0a33
Remove useless code.
2024-07-10 20:33:12 -04:00
391c1046cf
More flexibility with text encoder return values.
...
Text encoders can now return other values to the CONDITIONING than the cond
and pooled output.
2024-07-10 20:06:50 -04:00
e44fa5667f
Support returning text encoder attention masks.
2024-07-10 19:31:22 -04:00
f1a01c2c7e
Add sampler_pre_cfg_function ( #3979 )
...
* Update samplers.py
* Update model_patcher.py
2024-07-09 16:20:49 -04:00
ade7aa1b0c
Remove useless import.
2024-07-09 11:05:05 -04:00
faa57430b0
Controlnet union model basic implementation.
...
This is only the model code itself, it currently defaults to an empty
embedding [0] * 6 which seems to work better than treating it like a
regular controlnet.
TODO: Add nodes to select the image type.
2024-07-08 23:49:02 -04:00
bb663bcd6c
Rename clip_t5base to t5base for stable audio text encoder.
2024-07-08 08:53:55 -04:00
2dc84d1444
Add a way to set the timestep multiplier in the flow sampling.
2024-07-06 04:06:03 -04:00
ff63893d10
Support other types of T5 models.
2024-07-06 02:42:53 -04:00
4040491149
Better T5xxl detection.
2024-07-06 00:53:33 -04:00
b8e58a9394
Cleanup T5 code a bit.
2024-07-06 00:36:49 -04:00
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.
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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.
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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.
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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 )
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* 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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 )
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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
comfyanonymous
Alexander Brown
comfyanonymous
Chenlei Hu
喵哩个咪
Thomas Ward
Extraltodeus
Alex "mcmonkey" Goodwin
Mario Klingemann
Janek Mann
Dr.Lt.Data
Simon Lui
Dango233
JettHu
Garrett Sutula
Jedrzej Kosinski
kk-89
Shiimizu
logtd
blepping
pythongosssss