1770fc77ed
Implement support for taef1 latent previews ( #4409 )
...
* add taef1 handling to several places
* remove guess_latent_channels and add latent_channels info directly to flux model
* remove TODO
* fix numbers
2024-08-16 12:53:13 -04:00
5960f946a9
Move a few files from comfy -> comfy_execution.
...
Python code in the comfy folder should not import things from outside it.
2024-08-15 11:21:14 -04:00
5cfe38f41c
Execution Model Inversion ( #2666 )
...
* Execution Model Inversion
This PR inverts the execution model -- from recursively calling nodes to
using a topological sort of the nodes. This change allows for
modification of the node graph during execution. This allows for two
major advantages:
1. The implementation of lazy evaluation in nodes. For example, if a
"Mix Images" node has a mix factor of exactly 0.0, the second image
input doesn't even need to be evaluated (and visa-versa if the mix
factor is 1.0).
2. Dynamic expansion of nodes. This allows for the creation of dynamic
"node groups". Specifically, custom nodes can return subgraphs that
replace the original node in the graph. This is an incredibly
powerful concept. Using this functionality, it was easy to
implement:
a. Components (a.k.a. node groups)
b. Flow control (i.e. while loops) via tail recursion
c. All-in-one nodes that replicate the WebUI functionality
d. and more
All of those were able to be implemented entirely via custom nodes,
so those features are *not* a part of this PR. (There are some
front-end changes that should occur before that functionality is
made widely available, particularly around variant sockets.)
The custom nodes associated with this PR can be found at:
https://github.com/BadCafeCode/execution-inversion-demo-comfyui
Note that some of them require that variant socket types ("*") be
enabled.
* Allow `input_info` to be of type `None`
* Handle errors (like OOM) more gracefully
* Add a command-line argument to enable variants
This allows the use of nodes that have sockets of type '*' without
applying a patch to the code.
* Fix an overly aggressive assertion.
This could happen when attempting to evaluate `IS_CHANGED` for a node
during the creation of the cache (in order to create the cache key).
* Fix Pyright warnings
* Add execution model unit tests
* Fix issue with unused literals
Behavior should now match the master branch with regard to undeclared
inputs. Undeclared inputs that are socket connections will be used while
undeclared inputs that are literals will be ignored.
* Make custom VALIDATE_INPUTS skip normal validation
Additionally, if `VALIDATE_INPUTS` takes an argument named `input_types`,
that variable will be a dictionary of the socket type of all incoming
connections. If that argument exists, normal socket type validation will
not occur. This removes the last hurdle for enabling variant types
entirely from custom nodes, so I've removed that command-line option.
I've added appropriate unit tests for these changes.
* Fix example in unit test
This wouldn't have caused any issues in the unit test, but it would have
bugged the UI if someone copy+pasted it into their own node pack.
* Use fstrings instead of '%' formatting syntax
* Use custom exception types.
* Display an error for dependency cycles
Previously, dependency cycles that were created during node expansion
would cause the application to quit (due to an uncaught exception). Now,
we'll throw a proper error to the UI. We also make an attempt to 'blame'
the most relevant node in the UI.
* Add docs on when ExecutionBlocker should be used
* Remove unused functionality
* Rename ExecutionResult.SLEEPING to PENDING
* Remove superfluous function parameter
* Pass None for uneval inputs instead of default
This applies to `VALIDATE_INPUTS`, `check_lazy_status`, and lazy values
in evaluation functions.
* Add a test for mixed node expansion
This test ensures that a node that returns a combination of expanded
subgraphs and literal values functions correctly.
* Raise exception for bad get_node calls.
* Minor refactor of IsChangedCache.get
* Refactor `map_node_over_list` function
* Fix ui output for duplicated nodes
* Add documentation on `check_lazy_status`
* Add file for execution model unit tests
* Clean up Javascript code as per review
* Improve documentation
Converted some comments to docstrings as per review
* Add a new unit test for mixed lazy results
This test validates that when an output list is fed to a lazy node, the
node will properly evaluate previous nodes that are needed by any inputs
to the lazy node.
No code in the execution model has been changed. The test already
passes.
* Allow kwargs in VALIDATE_INPUTS functions
When kwargs are used, validation is skipped for all inputs as if they
had been mentioned explicitly.
* List cached nodes in `execution_cached` message
This was previously just bugged in this PR.
2024-08-15 11:21:11 -04:00
0f9c2a7822
Try to fix SDXL OOM issue on some configurations.
2024-08-14 23:08:54 -04:00
f1d6cef71c
Revert "Disable cuda malloc by default."
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This reverts commit 50bf66e5c4
2024-08-14 08:38:07 -04:00
33fb282d5c
Fix issue.
2024-08-14 02:51:47 -04:00
50bf66e5c4
Disable cuda malloc by default.
2024-08-14 02:49:25 -04:00
a5af64d3ce
Revert "Not sure if this actually changes anything but it can't hurt."
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This reverts commit 34608de2e9
2024-08-14 01:05:17 -04:00
34608de2e9
Not sure if this actually changes anything but it can't hurt.
2024-08-13 13:29:16 -04:00
39fb74c5bd
Fix bug when model cannot be partially unloaded.
2024-08-13 03:57:55 -04:00
74e124f4d7
Fix some issues with TE being in lowvram mode.
2024-08-12 23:42:21 -04:00
a562c17e8a
load_unet -> load_diffusion_model with a model_options argument.
2024-08-12 23:20:57 -04:00
5942c17d55
Order of operations matters.
2024-08-12 21:56:18 -04:00
c032b11e07
xlabs Flux controlnet implementation. ( #4260 )
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* xlabs Flux controlnet.
* Fix not working on old python.
* Remove comment.
2024-08-12 21:22:22 -04:00
b8ffb2937f
Memory tweaks.
2024-08-12 15:07:11 -04:00
5d43e75e5b
Fix some issues with the model sometimes not getting patched.
2024-08-12 12:27:54 -04:00
517f4a94e4
Fix some lora loading slowdowns.
2024-08-12 11:50:32 -04:00
52a471c5c7
Change name of log.
2024-08-12 10:35:06 -04:00
ad76574cb8
Fix some potential issues with the previous commits.
2024-08-12 00:23:29 -04:00
9acfe4df41
Support loading directly to vram with CLIPLoader node.
2024-08-12 00:06:01 -04:00
9829b013ea
Fix mistake in last commit.
2024-08-12 00:00:17 -04:00
5c69cde037
Load TE model straight to vram if certain conditions are met.
2024-08-11 23:52:43 -04:00
e9589d6d92
Add a way to set model dtype and ops from load_checkpoint_guess_config.
2024-08-11 08:50:34 -04:00
0d82a798a5
Remove the ckpt_path from load_state_dict_guess_config.
2024-08-11 08:37:35 -04:00
925fff26fd
alternative to `load_checkpoint_guess_config` that accepts a loaded state dict ( #4249 )
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* make alternative fn
* add back ckpt path as 2nd argument?
2024-08-11 08:36:52 -04:00
75b9b55b22
Fix issues with #4302 and support loading diffusers format flux.
2024-08-10 21:28:24 -04:00
1765f1c60c
FLUX: Added full diffusers mapping for FLUX.1 schnell and dev. Adds full LoRA support from diffusers LoRAs. ( #4302 )
2024-08-10 21:26:41 -04:00
1de69fe4d5
Fix some issues with inference slowing down.
2024-08-10 16:21:25 -04:00
ae197f651b
Speed up hunyuan dit inference a bit.
2024-08-10 07:36:27 -04:00
1b5b8ca81a
Fix regression.
2024-08-09 21:45:21 -04:00
6678d5cf65
Fix regression.
2024-08-09 14:02:38 -04:00
e172564eea
Update controlnet.py to fix the default controlnet weight as constant ( #4285 )
2024-08-09 13:40:05 -04:00
a3cc326748
Better fix for lowvram issue.
2024-08-09 12:16:25 -04:00
86a97e91fc
Fix controlnet regression.
2024-08-09 12:08:58 -04:00
5acdadc9f3
Fix issue with some lowvram weights.
2024-08-09 03:58:28 -04:00
55ad9d5f8c
Fix regression.
2024-08-09 03:36:40 -04:00
a9f04edc58
Implement text encoder part of HunyuanDiT loras.
2024-08-09 03:21:10 -04:00
a475ec2300
Cleanup HunyuanDit controlnets.
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Use the: ControlNetApply SD3 and HunyuanDiT node.
2024-08-09 02:59:34 -04:00
06eb9fb426
feat: add support for HunYuanDit ControlNet ( #4245 )
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* add support for HunYuanDit ControlNet
* fix hunyuandit controlnet
* fix typo in hunyuandit controlnet
* fix typo in hunyuandit controlnet
* fix code format style
* add control_weight support for HunyuanDit Controlnet
* use control_weights in HunyuanDit Controlnet
* fix typo
2024-08-09 02:59:24 -04:00
413322645e
Raw torch is faster than einops?
2024-08-08 22:09:29 -04:00
11200de970
Cleaner code.
2024-08-08 20:07:09 -04:00
037c38eb0f
Try to improve inference speed on some machines.
2024-08-08 17:29:27 -04:00
1e11d2d1f5
Better prints.
2024-08-08 17:29:27 -04:00
66d4233210
Fix.
2024-08-08 15:16:51 -04:00
591010b7ef
Support diffusers text attention flux loras.
2024-08-08 14:45:52 -04:00
08f92d55e9
Partial model shift support.
2024-08-08 14:45:06 -04:00
8115d8cce9
Add Flux fp16 support hack.
2024-08-07 15:08:39 -04:00
6969fc9ba4
Make supported_dtypes a priority list.
2024-08-07 15:00:06 -04:00
cb7c4b4be3
Workaround for lora OOM on lowvram mode.
2024-08-07 14:30:54 -04:00
1208863eca
Fix "Comfy" lora keys.
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They are in this format now:
diffusion_model.full.model.key.name.lora_up.weight
2024-08-07 13:49:31 -04:00
e1c528196e
Fix bundled embed.
2024-08-07 13:30:45 -04:00
17030fd4c0
Support for "Comfy" lora format.
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The keys are just: model.full.model.key.name.lora_up.weight
It is supported by all comfyui supported models.
Now people can just convert loras to this format instead of having to ask
for me to implement them.
2024-08-07 13:18:32 -04:00
c19dcd362f
Controlnet code refactor.
2024-08-07 12:59:28 -04:00
1c08bf35b4
Support format for embeddings bundled in loras.
2024-08-07 03:45:25 -04:00
b334605a66
Fix OOMs happening in some cases.
...
A cloned model patcher sometimes reported a model was loaded on a device
when it wasn't.
2024-08-06 13:36:04 -04:00
c14ac98fed
Unload models and load them back in lowvram mode no free vram.
2024-08-06 03:22:39 -04:00
2d75df45e6
Flux tweak memory usage.
2024-08-05 21:58:28 -04:00
8edbcf5209
Improve performance on some lowend GPUs.
2024-08-05 16:24:04 -04:00
a178e25912
Fix Flux FP64 math on XPU ( #4210 )
2024-08-05 01:26:20 -04:00
78e133d041
Support simple diffusers Flux loras.
2024-08-04 22:05:48 -04:00
7afa985fba
Correct spelling 'token_weight_pars_t5' to 'token_weight_pairs_t5' ( #4200 )
2024-08-04 17:10:02 -04:00
3b71f84b50
ONNX tracing fixes.
2024-08-04 15:45:43 -04:00
0a6b008117
Fix issue with some custom nodes.
2024-08-04 10:03:33 -04:00
f7a5107784
Fix crash.
2024-08-03 16:55:38 -04:00
91be9c2867
Tweak lowvram memory formula.
2024-08-03 16:44:50 -04:00
03c5018c98
Lower lowvram memory to 1/3 of free memory.
2024-08-03 15:14:07 -04:00
2ba5cc8b86
Fix some issues.
2024-08-03 15:06:40 -04:00
1e68002b87
Cap lowvram to half of free memory.
2024-08-03 14:50:20 -04:00
ba9095e5bd
Automatically use fp8 for diffusion model weights if:
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Checkpoint contains weights in fp8.
There isn't enough memory to load the diffusion model in GPU vram.
2024-08-03 13:45:19 -04:00
f123328b82
Load T5 in fp8 if it's in fp8 in the Flux checkpoint.
2024-08-03 12:39:33 -04:00
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.
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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 )
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* 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 )
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* 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.
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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.
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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
Matthew Turnshek
comfyanonymous
guill
comfyanonymous
ljleb
Jaret Burkett
TTPlanetPig
来新璐
a-One-Fan
Silver
Alexander Brown
Chenlei Hu
喵哩个咪
Thomas Ward
Extraltodeus
Alex "mcmonkey" Goodwin
Mario Klingemann
Janek Mann
Dr.Lt.Data
Simon Lui
Dango233