Commit Graph

1056 Commits

Author SHA1 Message Date
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