Commit Graph

1182 Commits

Author SHA1 Message Date
comfyanonymous 5cbaa9e07c Mistoline flux controlnet support. 2024-09-05 00:05:17 -04:00
comfyanonymous c7427375ee Prioritize freeing partially offloaded models first. 2024-09-04 19:47:32 -04:00
Jedrzej Kosinski f04229b84d
Add emb_patch support to UNetModel forward (#4779) 2024-09-04 14:35:15 -04:00
Silver f067ad15d1
Make live preview size a configurable launch argument (#4649)
* Make live preview size a configurable launch argument

* Remove import from testing phase

* Update cli_args.py
2024-09-03 19:16:38 -04:00
comfyanonymous 483004dd1d Support newer glora format. 2024-09-03 17:02:19 -04:00
comfyanonymous 00a5d08103 Lower fp8 lora memory usage. 2024-09-03 01:25:05 -04:00
comfyanonymous d043997d30 Flux onetrainer lora. 2024-09-02 08:22:15 -04:00
comfyanonymous 8d31a6632f Speed up inference on nvidia 10 series on Linux. 2024-09-01 17:29:31 -04:00
comfyanonymous b643eae08b Make minimum_inference_memory() depend on --reserve-vram 2024-09-01 01:18:34 -04:00
comfyanonymous 935ae153e1 Cleanup. 2024-08-30 12:53:59 -04:00
Chenlei Hu e91662e784
Get logs endpoint & system_stats additions (#4690)
* Add route for getting output logs

* Include ComfyUI version

* Move to own function

* Changed to memory logger

* Unify logger setup logic

* Fix get version git fallback

---------

Co-authored-by: pythongosssss <125205205+pythongosssss@users.noreply.github.com>
2024-08-30 12:46:37 -04:00
comfyanonymous 63fafaef45 Fix potential issue with hydit controlnets. 2024-08-30 04:58:41 -04:00
comfyanonymous 6eb5d64522 Fix glora lowvram issue. 2024-08-29 19:07:23 -04:00
comfyanonymous 10a79e9898 Implement model part of flux union controlnet. 2024-08-29 18:41:22 -04:00
comfyanonymous ea3f39bd69 InstantX depth flux controlnet. 2024-08-29 02:14:19 -04:00
comfyanonymous b33cd61070 InstantX canny controlnet. 2024-08-28 19:02:50 -04:00
comfyanonymous d31e226650 Unify RMSNorm code. 2024-08-28 16:56:38 -04:00
comfyanonymous 38c22e631a Fix case where model was not properly unloaded in merging workflows. 2024-08-27 19:03:51 -04:00
Chenlei Hu 6bbdcd28ae
Support weight padding on diff weight patch (#4576) 2024-08-27 13:55:37 -04:00
comfyanonymous ab130001a8 Do RMSNorm in native type. 2024-08-27 02:41:56 -04:00
comfyanonymous 2ca8f6e23d Make the stochastic fp8 rounding reproducible. 2024-08-26 15:12:06 -04:00
comfyanonymous 7985ff88b9 Use less memory in float8 lora patching by doing calculations in fp16. 2024-08-26 14:45:58 -04:00
comfyanonymous c6812947e9 Fix potential memory leak. 2024-08-26 02:07:32 -04:00
comfyanonymous 9230f65823 Fix some controlnets OOMing when loading. 2024-08-25 05:54:29 -04:00
comfyanonymous 8ae23d8e80 Fix onnx export. 2024-08-23 17:52:47 -04:00
comfyanonymous 7df42b9a23 Fix dora. 2024-08-23 04:58:59 -04:00
comfyanonymous 5d8bbb7281 Cleanup. 2024-08-23 04:06:27 -04:00
comfyanonymous 2c1d2375d6 Fix. 2024-08-23 04:04:55 -04:00
Simon Lui 64ccb3c7e3
Rework IPEX check for future inclusion of XPU into Pytorch upstream and do a bit more optimization of ipex.optimize(). (#4562) 2024-08-23 03:59:57 -04:00
Scorpinaus 9465b23432
Added SD15_Inpaint_Diffusers model support for unet_config_from_diffusers_unet function (#4565) 2024-08-23 03:57:08 -04:00
comfyanonymous c0b0da264b Missing imports. 2024-08-22 17:20:51 -04:00
comfyanonymous c26ca27207 Move calculate function to comfy.lora 2024-08-22 17:12:00 -04:00
comfyanonymous 7c6bb84016 Code cleanups. 2024-08-22 17:05:12 -04:00
comfyanonymous c54d3ed5e6 Fix issue with models staying loaded in memory. 2024-08-22 15:58:20 -04:00
comfyanonymous c7ee4b37a1 Try to fix some lora issues. 2024-08-22 15:32:18 -04:00
David 7b70b266d8
Generalize MacOS version check for force-upcast-attention (#4548)
This code automatically forces upcasting attention for MacOS versions 14.5 and 14.6. My computer returns the string "14.6.1" for `platform.mac_ver()[0]`, so this generalizes the comparison to catch more versions.

I am running MacOS Sonoma 14.6.1 (latest version) and was seeing black image generation on previously functional workflows after recent software updates. This PR solved the issue for me.

See comfyanonymous/ComfyUI#3521
2024-08-22 13:24:21 -04:00
comfyanonymous 8f60d093ba Fix issue. 2024-08-22 10:38:24 -04:00
comfyanonymous 843a7ff70c fp16 is actually faster than fp32 on a GTX 1080. 2024-08-21 23:23:50 -04:00
comfyanonymous a60620dcea Fix slow performance on 10 series Nvidia GPUs. 2024-08-21 16:39:02 -04:00
comfyanonymous 015f73dc49 Try a different type of flux fp16 fix. 2024-08-21 16:17:15 -04:00
comfyanonymous 904bf58e7d Make --fast work on pytorch nightly. 2024-08-21 14:01:41 -04:00
Svein Ove Aas 5f50263088
Replace use of .view with .reshape (#4522)
When generating images with fp8_e4_m3 Flux and batch size >1, using --fast, ComfyUI throws a "view size is not compatible with input tensor's size and stride" error pointing at the first of these two calls to view.

As reshape is semantically equivalent to view except for working on a broader set of inputs, there should be no downside to changing this. The only difference is that it clones the underlying data in cases where .view would error out. I have confirmed that the output still looks as expected, but cannot confirm that no mutable use is made of the tensors anywhere.

Note that --fast is only marginally faster than the default.
2024-08-21 11:21:48 -04:00
comfyanonymous 03ec517afb Remove useless line, adjust windows default reserved vram. 2024-08-21 00:47:19 -04:00
comfyanonymous 510f3438c1 Speed up fp8 matrix mult by using better code. 2024-08-20 22:53:26 -04:00
comfyanonymous ea63b1c092 Simpletrainer lycoris format. 2024-08-20 12:05:13 -04:00
comfyanonymous 9953f22fce Add --fast argument to enable experimental optimizations.
Optimizations that might break things/lower quality will be put behind
this flag first and might be enabled by default in the future.

Currently the only optimization is float8_e4m3fn matrix multiplication on
4000/ADA series Nvidia cards or later. If you have one of these cards you
will see a speed boost when using fp8_e4m3fn flux for example.
2024-08-20 11:55:51 -04:00
comfyanonymous d1a6bd6845 Support loading long clipl model with the CLIP loader node. 2024-08-20 10:46:36 -04:00
comfyanonymous 83dbac28eb Properly set if clip text pooled projection instead of using hack. 2024-08-20 10:46:36 -04:00
comfyanonymous 538cb068bc Make cast_to a nop if weight is already good. 2024-08-20 10:46:36 -04:00
comfyanonymous 1b3eee672c Fix potential issue with multi devices. 2024-08-20 10:46:36 -04:00
comfyanonymous 9eee470244 New load_text_encoder_state_dicts function.
Now you can load text encoders straight from a list of state dicts.
2024-08-19 17:36:35 -04:00
comfyanonymous 045377ea89 Add a --reserve-vram argument if you don't want comfy to use all of it.
--reserve-vram 1.0 for example will make ComfyUI try to keep 1GB vram free.

This can also be useful if workflows are failing because of OOM errors but
in that case please report it if --reserve-vram improves your situation.
2024-08-19 17:16:18 -04:00
comfyanonymous 4d341b78e8 Bug fixes. 2024-08-19 16:28:55 -04:00
comfyanonymous 6138f92084 Use better dtype for the lowvram lora system. 2024-08-19 15:35:25 -04:00
comfyanonymous be0726c1ed Remove duplication. 2024-08-19 15:26:50 -04:00
comfyanonymous 4506ddc86a Better subnormal fp8 stochastic rounding. Thanks Ashen. 2024-08-19 13:38:03 -04:00
comfyanonymous 20ace7c853 Code cleanup. 2024-08-19 12:48:59 -04:00
comfyanonymous 22ec02afc0 Handle subnormal numbers in float8 rounding. 2024-08-19 05:51:08 -04:00
comfyanonymous 39f114c44b Less broken non blocking? 2024-08-18 16:53:17 -04:00
comfyanonymous 6730f3e1a3
Disable non blocking.
It fixed some perf issues but caused other issues that need to be debugged.
2024-08-18 14:38:09 -04:00
comfyanonymous 73332160c8 Enable non blocking transfers in lowvram mode. 2024-08-18 10:29:33 -04:00
comfyanonymous 2622c55aff Automatically use RF variant of dpmpp_2s_ancestral if RF model. 2024-08-18 00:47:25 -04:00
Ashen 1beb348ee2 dpmpp_2s_ancestral_RF for rectified flow (Flux, SD3 and Auraflow). 2024-08-18 00:33:30 -04:00
comfyanonymous d31df04c8a Indentation. 2024-08-17 23:00:44 -04:00
Xrvk e68763f40c
Add Flux model support for InstantX style controlnet residuals (#4444)
* Add Flux model support for InstantX style controlnet residuals

* Refactor Flux controlnet residual step to a separate method

* Rollback minor change

* New format for applying controlnet residuals: input->double_blocks, output->single_blocks

* Adjust XLabs Flux controlnet to fit new syntax of applying Flux controlnet residuals

* Remove unnecessary import and minor style change
2024-08-17 22:58:23 -04:00
comfyanonymous 4f7a3cb6fb unet -> diffusion_models. 2024-08-17 21:31:04 -04:00
comfyanonymous bb222ceddb Fix loras having a weak effect when applied on fp8. 2024-08-17 15:20:17 -04:00
comfyanonymous fca42836f2 Add model_options for text encoder. 2024-08-17 11:17:20 -04:00
comfyanonymous cd5017c1c9 calculate_weight function to use a different dtype. 2024-08-17 01:06:08 -04:00
comfyanonymous 83f343146a Fix potential lowvram issue. 2024-08-16 17:12:42 -04:00
Matthew Turnshek 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
comfyanonymous 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
guill 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
comfyanonymous 0f9c2a7822 Try to fix SDXL OOM issue on some configurations. 2024-08-14 23:08:54 -04:00
comfyanonymous f1d6cef71c Revert "Disable cuda malloc by default."
This reverts commit 50bf66e5c4.
2024-08-14 08:38:07 -04:00
comfyanonymous 33fb282d5c Fix issue. 2024-08-14 02:51:47 -04:00
comfyanonymous 50bf66e5c4 Disable cuda malloc by default. 2024-08-14 02:49:25 -04:00
comfyanonymous a5af64d3ce Revert "Not sure if this actually changes anything but it can't hurt."
This reverts commit 34608de2e9.
2024-08-14 01:05:17 -04:00
comfyanonymous 34608de2e9 Not sure if this actually changes anything but it can't hurt. 2024-08-13 13:29:16 -04:00
comfyanonymous 39fb74c5bd Fix bug when model cannot be partially unloaded. 2024-08-13 03:57:55 -04:00
comfyanonymous 74e124f4d7 Fix some issues with TE being in lowvram mode. 2024-08-12 23:42:21 -04:00
comfyanonymous a562c17e8a load_unet -> load_diffusion_model with a model_options argument. 2024-08-12 23:20:57 -04:00
comfyanonymous 5942c17d55 Order of operations matters. 2024-08-12 21:56:18 -04:00
comfyanonymous c032b11e07
xlabs Flux controlnet implementation. (#4260)
* xlabs Flux controlnet.

* Fix not working on old python.

* Remove comment.
2024-08-12 21:22:22 -04:00
comfyanonymous b8ffb2937f Memory tweaks. 2024-08-12 15:07:11 -04:00
comfyanonymous 5d43e75e5b Fix some issues with the model sometimes not getting patched. 2024-08-12 12:27:54 -04:00
comfyanonymous 517f4a94e4 Fix some lora loading slowdowns. 2024-08-12 11:50:32 -04:00
comfyanonymous 52a471c5c7 Change name of log. 2024-08-12 10:35:06 -04:00
comfyanonymous ad76574cb8 Fix some potential issues with the previous commits. 2024-08-12 00:23:29 -04:00
comfyanonymous 9acfe4df41 Support loading directly to vram with CLIPLoader node. 2024-08-12 00:06:01 -04:00
comfyanonymous 9829b013ea Fix mistake in last commit. 2024-08-12 00:00:17 -04:00
comfyanonymous 5c69cde037 Load TE model straight to vram if certain conditions are met. 2024-08-11 23:52:43 -04:00
comfyanonymous e9589d6d92 Add a way to set model dtype and ops from load_checkpoint_guess_config. 2024-08-11 08:50:34 -04:00
comfyanonymous 0d82a798a5 Remove the ckpt_path from load_state_dict_guess_config. 2024-08-11 08:37:35 -04:00
ljleb 925fff26fd
alternative to `load_checkpoint_guess_config` that accepts a loaded state dict (#4249)
* make alternative fn

* add back ckpt path as 2nd argument?
2024-08-11 08:36:52 -04:00
comfyanonymous 75b9b55b22 Fix issues with #4302 and support loading diffusers format flux. 2024-08-10 21:28:24 -04:00
Jaret Burkett 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
comfyanonymous 1de69fe4d5 Fix some issues with inference slowing down. 2024-08-10 16:21:25 -04:00
comfyanonymous ae197f651b Speed up hunyuan dit inference a bit. 2024-08-10 07:36:27 -04:00
comfyanonymous 1b5b8ca81a Fix regression. 2024-08-09 21:45:21 -04:00
comfyanonymous 6678d5cf65 Fix regression. 2024-08-09 14:02:38 -04:00
TTPlanetPig e172564eea
Update controlnet.py to fix the default controlnet weight as constant (#4285) 2024-08-09 13:40:05 -04:00
comfyanonymous a3cc326748 Better fix for lowvram issue. 2024-08-09 12:16:25 -04:00
comfyanonymous 86a97e91fc Fix controlnet regression. 2024-08-09 12:08:58 -04:00
comfyanonymous 5acdadc9f3 Fix issue with some lowvram weights. 2024-08-09 03:58:28 -04:00
comfyanonymous 55ad9d5f8c Fix regression. 2024-08-09 03:36:40 -04:00
comfyanonymous a9f04edc58 Implement text encoder part of HunyuanDiT loras. 2024-08-09 03:21:10 -04:00
comfyanonymous a475ec2300 Cleanup HunyuanDit controlnets.
Use the: ControlNetApply SD3 and HunyuanDiT node.
2024-08-09 02:59:34 -04:00
来新璐 06eb9fb426
feat: add support for HunYuanDit ControlNet (#4245)
* 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
comfyanonymous 413322645e Raw torch is faster than einops? 2024-08-08 22:09:29 -04:00
comfyanonymous 11200de970 Cleaner code. 2024-08-08 20:07:09 -04:00
comfyanonymous 037c38eb0f Try to improve inference speed on some machines. 2024-08-08 17:29:27 -04:00
comfyanonymous 1e11d2d1f5 Better prints. 2024-08-08 17:29:27 -04:00
comfyanonymous 66d4233210 Fix. 2024-08-08 15:16:51 -04:00
comfyanonymous 591010b7ef Support diffusers text attention flux loras. 2024-08-08 14:45:52 -04:00
comfyanonymous 08f92d55e9 Partial model shift support. 2024-08-08 14:45:06 -04:00
comfyanonymous 8115d8cce9 Add Flux fp16 support hack. 2024-08-07 15:08:39 -04:00
comfyanonymous 6969fc9ba4 Make supported_dtypes a priority list. 2024-08-07 15:00:06 -04:00
comfyanonymous cb7c4b4be3 Workaround for lora OOM on lowvram mode. 2024-08-07 14:30:54 -04:00
comfyanonymous 1208863eca Fix "Comfy" lora keys.
They are in this format now:
diffusion_model.full.model.key.name.lora_up.weight
2024-08-07 13:49:31 -04:00
comfyanonymous e1c528196e Fix bundled embed. 2024-08-07 13:30:45 -04:00
comfyanonymous 17030fd4c0 Support for "Comfy" lora format.
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
comfyanonymous c19dcd362f Controlnet code refactor. 2024-08-07 12:59:28 -04:00
comfyanonymous 1c08bf35b4 Support format for embeddings bundled in loras. 2024-08-07 03:45:25 -04:00
comfyanonymous 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
comfyanonymous c14ac98fed Unload models and load them back in lowvram mode no free vram. 2024-08-06 03:22:39 -04:00
comfyanonymous 2d75df45e6 Flux tweak memory usage. 2024-08-05 21:58:28 -04:00
comfyanonymous 8edbcf5209 Improve performance on some lowend GPUs. 2024-08-05 16:24:04 -04:00
a-One-Fan a178e25912
Fix Flux FP64 math on XPU (#4210) 2024-08-05 01:26:20 -04:00
comfyanonymous 78e133d041 Support simple diffusers Flux loras. 2024-08-04 22:05:48 -04:00
Silver 7afa985fba
Correct spelling 'token_weight_pars_t5' to 'token_weight_pairs_t5' (#4200) 2024-08-04 17:10:02 -04:00
comfyanonymous 3b71f84b50 ONNX tracing fixes. 2024-08-04 15:45:43 -04:00
comfyanonymous 0a6b008117 Fix issue with some custom nodes. 2024-08-04 10:03:33 -04:00
comfyanonymous f7a5107784 Fix crash. 2024-08-03 16:55:38 -04:00
comfyanonymous 91be9c2867 Tweak lowvram memory formula. 2024-08-03 16:44:50 -04:00
comfyanonymous 03c5018c98 Lower lowvram memory to 1/3 of free memory. 2024-08-03 15:14:07 -04:00
comfyanonymous 2ba5cc8b86 Fix some issues. 2024-08-03 15:06:40 -04:00
comfyanonymous 1e68002b87 Cap lowvram to half of free memory. 2024-08-03 14:50:20 -04:00
comfyanonymous ba9095e5bd Automatically use fp8 for diffusion model weights if:
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
comfyanonymous f123328b82 Load T5 in fp8 if it's in fp8 in the Flux checkpoint. 2024-08-03 12:39:33 -04:00
comfyanonymous 63a7e8edba More aggressive batch splitting. 2024-08-03 11:53:30 -04:00
comfyanonymous ea03c9dcd2 Better per model memory usage estimations. 2024-08-02 18:09:24 -04:00
comfyanonymous 3a9ee995cf Tweak regular SD memory formula. 2024-08-02 17:34:30 -04:00
comfyanonymous 47da42d928 Better Flux vram estimation. 2024-08-02 17:02:35 -04:00
Alexander Brown ce9ac2fe05
Fix clip_g/clip_l mixup (#4168) 2024-08-01 21:40:56 -04:00
comfyanonymous e638f2858a Hack to make all resolutions work on Flux models. 2024-08-01 21:39:18 -04:00
comfyanonymous d420bc792a Tweak the memory usage formulas for Flux and SD. 2024-08-01 17:53:45 -04:00
comfyanonymous d965474aaa Make ComfyUI split batches a higher priority than weight offload. 2024-08-01 16:39:59 -04:00
comfyanonymous 1c61361fd2 Fast preview support for Flux. 2024-08-01 16:28:11 -04:00
comfyanonymous a6decf1e62 Fix bfloat16 potentially not being enabled on mps. 2024-08-01 16:18:44 -04:00