1059 Commits

Author SHA1 Message Date
comfyanonymous
0911b077b3 Fix some controlnets OOMing when loading. 2024-08-25 05:54:29 -04:00
comfyanonymous
b9590ea077 Fix onnx export. 2024-08-23 17:52:47 -04:00
comfyanonymous
49cd4f5123 Fix dora. 2024-08-23 04:58:59 -04:00
comfyanonymous
65a577e0db Cleanup. 2024-08-23 04:06:27 -04:00
comfyanonymous
103d705247 Fix. 2024-08-23 04:04:55 -04:00
Simon Lui
24af9ec35a 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
77841395ab Added SD15_Inpaint_Diffusers model support for unet_config_from_diffusers_unet function (#4565) 2024-08-23 03:57:08 -04:00
comfyanonymous
c6f6298c52 Missing imports. 2024-08-22 17:20:51 -04:00
comfyanonymous
59d0907512 Move calculate function to comfy.lora 2024-08-22 17:12:00 -04:00
comfyanonymous
23836e6596 Code cleanups. 2024-08-22 17:05:12 -04:00
comfyanonymous
7bad18b66d Fix issue with models staying loaded in memory. 2024-08-22 15:58:20 -04:00
comfyanonymous
262abf2310 Try to fix some lora issues. 2024-08-22 15:32:18 -04:00
David
ff022fccc2 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
2e13ae7d8c Fix issue. 2024-08-22 10:38:24 -04:00
comfyanonymous
190a03c892 fp16 is actually faster than fp32 on a GTX 1080. 2024-08-21 23:23:50 -04:00
comfyanonymous
883e5a9aa5 Fix slow performance on 10 series Nvidia GPUs. 2024-08-21 16:39:02 -04:00
comfyanonymous
9c847187cb Try a different type of flux fp16 fix. 2024-08-21 16:17:15 -04:00
comfyanonymous
a1a6c213a5 Make --fast work on pytorch nightly. 2024-08-21 14:01:41 -04:00
Svein Ove Aas
b4bedcdc11 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
d8af5d17b5 Remove useless line, adjust windows default reserved vram. 2024-08-21 00:47:19 -04:00
comfyanonymous
6c68634351 Speed up fp8 matrix mult by using better code. 2024-08-20 22:53:26 -04:00
comfyanonymous
8addad7f2c Simpletrainer lycoris format. 2024-08-20 12:05:13 -04:00
comfyanonymous
7c0c89e70c 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
d30678a05e Support loading long clipl model with the CLIP loader node. 2024-08-20 10:46:36 -04:00
comfyanonymous
2062f06e50 Properly set if clip text pooled projection instead of using hack. 2024-08-20 10:46:36 -04:00
comfyanonymous
05938809a4 Make cast_to a nop if weight is already good. 2024-08-20 10:46:36 -04:00
comfyanonymous
c3bec99a9b Fix potential issue with multi devices. 2024-08-20 10:46:36 -04:00
comfyanonymous
f9c6ff16f7 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
5115d926eb 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
f2d98aa557 Bug fixes. 2024-08-19 16:28:55 -04:00
comfyanonymous
0f356a9212 Use better dtype for the lowvram lora system. 2024-08-19 15:35:25 -04:00
comfyanonymous
48335ad8ca Remove duplication. 2024-08-19 15:26:50 -04:00
comfyanonymous
f99d236347 Better subnormal fp8 stochastic rounding. Thanks Ashen. 2024-08-19 13:38:03 -04:00
comfyanonymous
939c35d580 Code cleanup. 2024-08-19 12:48:59 -04:00
comfyanonymous
7921766c26 Handle subnormal numbers in float8 rounding. 2024-08-19 05:51:08 -04:00
comfyanonymous
b35cfc0926 Less broken non blocking? 2024-08-18 16:53:17 -04:00
comfyanonymous
22b99fdff4 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
acc2ed8389 Enable non blocking transfers in lowvram mode. 2024-08-18 10:29:33 -04:00
comfyanonymous
6d23fd0618 Automatically use RF variant of dpmpp_2s_ancestral if RF model. 2024-08-18 00:47:25 -04:00
Ashen
41b3ccc486 dpmpp_2s_ancestral_RF for rectified flow (Flux, SD3 and Auraflow). 2024-08-18 00:33:30 -04:00
comfyanonymous
635eeda81f Indentation. 2024-08-17 23:00:44 -04:00
Xrvk
5811b93d32 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
a86fa7a05e unet -> diffusion_models. 2024-08-17 21:31:04 -04:00
comfyanonymous
1fb6ab1bcd Fix loras having a weak effect when applied on fp8. 2024-08-17 15:20:17 -04:00
comfyanonymous
03c874ec6e Add model_options for text encoder. 2024-08-17 11:17:20 -04:00
comfyanonymous
6e3ba4f578 calculate_weight function to use a different dtype. 2024-08-17 01:06:08 -04:00
comfyanonymous
bd13b4c6f5 Fix potential lowvram issue. 2024-08-16 17:12:42 -04:00
Matthew Turnshek
3b3c506632 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
6ad03db240 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
f12ab2e978 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