977eda19a6
Don't round noise mask.
2024-01-11 03:29:58 -05:00
10f2609fdd
Add InpaintModelConditioning node.
...
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 )
...
* 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
...
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.
...
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.
...
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
d0165d819a
Fix SVD lowvram mode.
2023-12-24 07:13:18 -05:00
a252963f95
--disable-smart-memory now unloads everything like it did originally.
2023-12-23 04:25:06 -05:00
36a7953142
Greatly improve lowvram sampling speed by getting rid of accelerate.
...
Let me know if this breaks anything.
2023-12-22 14:38:45 -05:00
261bcbb0d9
A few missing comfy ops in the VAE.
2023-12-22 04:05:42 -05:00
9a7619b72d
Fix regression with inpaint model.
2023-12-19 02:32:59 -05:00
571ea8cdcc
Fix SAG not working with cfg 1.0
2023-12-18 17:03:32 -05:00
8cf1daa108
Fix SDXL area composition sometimes not using the right pooled output.
2023-12-18 12:54:23 -05:00
2258f85159
Support stable zero 123 model.
...
To use it use the ImageOnlyCheckpointLoader to load the checkpoint and
the new Stable_Zero123 node.
2023-12-18 03:48:04 -05:00
2f9d6a97ec
Add --deterministic option to make pytorch use deterministic algorithms.
2023-12-17 16:59:21 -05:00
e45d920ae3
Don't resize clip vision image when the size is already good.
2023-12-16 03:06:10 -05:00
13e6d5366e
Switch clip vision to manual cast.
...
Make it use the same dtype as the text encoder.
2023-12-16 02:47:26 -05:00
719fa0866f
Set clip vision model in eval mode so it works without inference mode.
2023-12-15 18:53:08 -05:00
574363a8a6
Implement Perp-Neg
2023-12-16 00:28:16 +05:30
a5056cfb1f
Remove useless code.
2023-12-15 01:28:16 -05:00
329c571993
Improve code legibility.
2023-12-14 11:41:49 -05:00
6c5990f7db
Fix cfg being calculated more than once if sampler_cfg_function.
2023-12-13 20:28:04 -05:00
ba04a87d10
Refactor and improve the sag node.
...
Moved all the sag related code to comfy_extras/nodes_sag.py
2023-12-13 16:11:26 -05:00
6761233e9d
Implement Self-Attention Guidance ( #2201 )
...
* First SAG test
* need to put extra options on the model instead of patcher
* no errors and results seem not-broken
* Use @ashen-uncensored formula, which works better!!!
* Fix a crash when using weird resolutions. Remove an unnecessary UNet call
* Improve comments, optimize memory in blur routine
* SAG works with sampler_cfg_function
2023-12-13 15:52:11 -05:00
b454a67bb9
Support segmind vega model.
2023-12-12 19:09:53 -05:00
824e4935f5
Add dtype parameter to VAE object.
2023-12-12 12:03:29 -05:00
32b7e7e769
Add manual cast to controlnet.
2023-12-12 11:32:42 -05:00
3152023fbc
Use inference dtype for unet memory usage estimation.
2023-12-11 23:50:38 -05:00
77755ab8db
Refactor comfy.ops
...
comfy.ops -> comfy.ops.disable_weight_init
This should make it more clear what they actually do.
Some unused code has also been removed.
2023-12-11 23:27:13 -05:00
b0aab1e4ea
Add an option --fp16-unet to force using fp16 for the unet.
2023-12-11 18:36:29 -05:00
ba07cb748e
Use faster manual cast for fp8 in unet.
2023-12-11 18:24:44 -05:00
57926635e8
Switch text encoder to manual cast.
...
Use fp16 text encoder weights for CPU inference to lower memory usage.
2023-12-10 23:00:54 -05:00
340177e6e8
Disable non blocking on mps.
2023-12-10 01:30:35 -05:00
614b7e731f
Implement GLora.
2023-12-09 18:15:26 -05:00
cb63e230b4
Make lora code a bit cleaner.
2023-12-09 14:15:09 -05:00
174eba8e95
Use own clip vision model implementation.
2023-12-09 11:56:31 -05:00
97015b6b38
Cleanup.
2023-12-08 16:02:08 -05:00
a4ec54a40d
Add linear_start and linear_end to model_config.sampling_settings
2023-12-08 02:49:30 -05:00
9ac0b487ac
Make --gpu-only put intermediate values in GPU memory instead of cpu.
2023-12-08 02:35:45 -05:00
efb704c758
Support attention masking in CLIP implementation.
2023-12-07 02:51:02 -05:00
fbdb14d4c4
Cleaner CLIP text encoder implementation.
...
Use a simple CLIP model implementation instead of the one from
transformers.
This will allow some interesting things that would too hackish to implement
using the transformers implementation.
2023-12-06 23:50:03 -05:00
2db86b4676
Slightly faster lora applying.
2023-12-06 05:13:14 -05:00
1bbd65ab30
Missed this one.
2023-12-05 12:48:41 -05:00
9b655d4fd7
Fix memory issue with control loras.
2023-12-04 21:55:19 -05:00
26b1c0a771
Fix control lora on fp8.
2023-12-04 13:47:41 -05:00
be3468ddd5
Less useless downcasting.
2023-12-04 12:53:46 -05:00
ca82ade765
Use .itemsize to get dtype size for fp8.
2023-12-04 11:52:06 -05:00
31b0f6f3d8
UNET weights can now be stored in fp8.
...
--fp8_e4m3fn-unet and --fp8_e5m2-unet are the two different formats
supported by pytorch.
2023-12-04 11:10:00 -05:00
af365e4dd1
All the unet ops with weights are now handled by comfy.ops
2023-12-04 03:12:18 -05:00
61a123a1e0
A different way of handling multiple images passed to SVD.
...
Previously when a list of 3 images [0, 1, 2] was used for a 6 frame video
they were concated like this:
[0, 1, 2, 0, 1, 2]
now they are concated like this:
[0, 0, 1, 1, 2, 2]
2023-12-03 03:31:47 -05:00
c97be4db91
Support SD2.1 turbo checkpoint.
2023-11-30 19:27:03 -05:00
983ebc5792
Use smart model management for VAE to decrease latency.
2023-11-28 04:58:51 -05:00
c45d1b9b67
Add a function to load a unet from a state dict.
2023-11-27 17:41:29 -05:00
f30b992b18
.sigma and .timestep now return tensors on the same device as the input.
2023-11-27 16:41:33 -05:00
13fdee6abf
Try to free memory for both cond+uncond before inference.
2023-11-27 14:55:40 -05:00
be71bb5e13
Tweak memory inference calculations a bit.
2023-11-27 14:04:16 -05:00
39e75862b2
Fix regression from last commit.
2023-11-26 03:43:02 -05:00
50dc39d6ec
Clean up the extra_options dict for the transformer patches.
...
Now everything in transformer_options gets put in extra_options.
2023-11-26 03:13:56 -05:00
5d6dfce548
Fix importing diffusers unets.
2023-11-24 20:35:29 -05:00
3e5ea74ad3
Make buggy xformers fall back on pytorch attention.
2023-11-24 03:55:35 -05:00
871cc20e13
Support SVD img2vid model.
2023-11-23 19:41:33 -05:00
410bf07771
Make VAE memory estimation take dtype into account.
2023-11-22 18:17:19 -05:00
32447f0c39
Add sampling_settings so models can specify specific sampling settings.
2023-11-22 17:24:00 -05:00
c3ae99a749
Allow controlling downscale and upscale methods in PatchModelAddDownscale.
2023-11-22 03:23:16 -05:00
72741105a6
Remove useless code.
2023-11-21 17:27:28 -05:00
6a491ebe27
Allow model config to preprocess the vae state dict on load.
2023-11-21 16:29:18 -05:00
cd4fc77d5f
Add taesd and taesdxl to VAELoader node.
...
They will show up if both the taesd_encoder and taesd_decoder or taesdxl
model files are present in the models/vae_approx directory.
2023-11-21 12:54:19 -05:00
ce67dcbcda
Make it easy for models to process the unet state dict on load.
2023-11-20 23:17:53 -05:00
d9d8702d8d
percent_to_sigma now returns a float instead of a tensor.
2023-11-18 23:20:29 -05:00
0cf4e86939
Add some command line arguments to store text encoder weights in fp8.
...
Pytorch supports two variants of fp8:
--fp8_e4m3fn-text-enc (the one that seems to give better results)
--fp8_e5m2-text-enc
2023-11-17 02:56:59 -05:00
107e78b1cb
Add support for loading SSD1B diffusers unet version.
...
Improve diffusers model detection.
2023-11-16 23:12:55 -05:00
7e3fe3ad28
Make deep shrink behave like it should.
2023-11-16 15:26:28 -05:00
9f00a18095
Fix potential issues.
2023-11-16 14:59:54 -05:00
7ea6bb038c
Print warning when controlnet can't be applied instead of crashing.
2023-11-16 12:57:12 -05:00
dcec1047e6
Invert the start and end percentages in the code.
...
This doesn't affect how percentages behave in the frontend but breaks
things if you relied on them in the backend.
percent_to_sigma goes from 0 to 1.0 instead of 1.0 to 0 for less confusion.
Make percent 0 return an extremely large sigma and percent 1.0 return a
zero one to fix imprecision.
2023-11-16 04:23:44 -05:00
57eea0efbb
heunpp2 sampler.
2023-11-14 23:50:55 -05:00
728613bb3e
Fix last pr.
2023-11-14 14:41:31 -05:00
ec3d0ab432
Merge branch 'master' of https://github.com/Jannchie/ComfyUI
2023-11-14 14:38:07 -05:00
c962884a5c
Make bislerp work on GPU.
2023-11-14 11:38:36 -05:00
420beeeb05
Clean up and refactor sampler code.
...
This should make it much easier to write custom nodes with kdiffusion type
samplers.
2023-11-14 00:39:34 -05:00
f2e49b1d57
fix: adaptation to older versions of pytroch
2023-11-14 14:32:05 +09:00
94cc718e9c
Add a way to add patches to the input block.
2023-11-14 00:08:12 -05:00
7339479b10
Disable xformers when it can't load properly.
2023-11-13 12:31:10 -05:00
4781819a85
Make memory estimation aware of model dtype.
2023-11-12 04:28:26 -05:00
dd4ba68b6e
Allow different models to estimate memory usage differently.
2023-11-12 04:03:52 -05:00
2c9dba8dc0
sampling_function now has the model object as the argument.
2023-11-12 03:45:10 -05:00
8d80584f6a
Remove useless argument from uni_pc sampler.
2023-11-12 01:25:33 -05:00
248aa3e563
Fix bug.
2023-11-11 12:20:16 -05:00
4a8a839b40
Add option to use in place weight updating in ModelPatcher.
2023-11-11 01:11:12 -05:00
412d3ff57d
Refactor.
2023-11-11 01:11:06 -05:00
58d5d71a93
Working RescaleCFG node.
...
This was broken because of recent changes so I fixed it and moved it from
the experiments repo.
2023-11-10 20:52:10 -05:00
3e0033ef30
Fix model merge bug.
...
Unload models before getting weights for model patching.
2023-11-10 03:19:05 -05:00
002aefa382
Support lcm models.
...
Use the "lcm" sampler to sample them, you also have to use the
ModelSamplingDiscrete node to set them as lcm models to use them properly.
2023-11-09 18:30:22 -05:00
ec12000136
Add support for full diff lora keys.
2023-11-08 22:05:31 -05:00
064d7583eb
Add a CONDConstant for passing non tensor conds to unet.
2023-11-08 01:59:09 -05:00
794dd2064d
Fix typo.
2023-11-07 23:41:55 -05:00
0a6fd49a3e
Print leftover keys when using the UNETLoader.
2023-11-07 22:15:55 -05:00
fe40109b57
Fix issue with object patches not being copied with patcher.
2023-11-07 22:15:15 -05:00
a527d0c795
Code refactor.
2023-11-07 19:33:40 -05:00
2a23ba0b8c
Fix unet ops not entirely on GPU.
2023-11-07 04:30:37 -05:00
844dbf97a7
Add: advanced->model->ModelSamplingDiscrete node.
...
This allows changing the sampling parameters of the model (eps or vpred)
or set the model to use zsnr.
2023-11-07 03:28:53 -05:00
656c0b5d90
CLIP code refactor and improvements.
...
More generic clip model class that can be used on more types of text
encoders.
Don't apply weighting algorithm when weight is 1.0
Don't compute an empty token output when it's not needed.
2023-11-06 14:17:41 -05:00
b3fcd64c6c
Make SDTokenizer class work with more types of tokenizers.
2023-11-06 01:09:18 -05:00
7e455adc07
fix unet_wrapper_function name in ModelPatcher
2023-11-05 17:11:44 +08:00
1ffa8858e7
Move model sampling code to comfy/model_sampling.py
2023-11-04 01:32:23 -04:00
ae2acfc21b
Don't convert Nan to zero.
...
Converting Nan to zero is a bad idea because it makes it hard to tell when
something went wrong.
2023-11-03 13:13:15 -04:00
d2e27b48f1
sampler_cfg_function now gets the noisy output as argument again.
...
This should make things that use sampler_cfg_function behave like before.
Added an input argument for those that want the denoised output.
This means you can calculate the x0 prediction of the model by doing:
(input - cond) for example.
2023-11-01 21:24:08 -04:00
2455aaed8a
Allow model or clip to be None in load_lora_for_models.
2023-11-01 20:27:20 -04:00
ecb80abb58
Allow ModelSamplingDiscrete to be instantiated without a model config.
2023-11-01 19:13:03 -04:00
e73ec8c4da
Not used anymore.
2023-11-01 00:01:30 -04:00
111f1b5255
Fix some issues with sampling precision.
2023-10-31 23:49:29 -04:00
7c0f255de1
Clean up percent start/end and make controlnets work with sigmas.
2023-10-31 22:14:32 -04:00
a268a574fa
Remove a bunch of useless code.
...
DDIM is the same as euler with a small difference in the inpaint code.
DDIM uses randn_like but I set a fixed seed instead.
I'm keeping it in because I'm sure if I remove it people are going to
complain.
2023-10-31 18:11:29 -04:00
1777b54d02
Sampling code changes.
...
apply_model in model_base now returns the denoised output.
This means that sampling_function now computes things on the denoised
output instead of the model output. This should make things more consistent
across current and future models.
2023-10-31 17:33:43 -04:00
c837a173fa
Fix some memory issues in sub quad attention.
2023-10-30 15:30:49 -04:00
125b03eead
Fix some OOM issues with split attention.
2023-10-30 13:14:11 -04:00
a12cc05323
Add --max-upload-size argument, the default is 100MB.
2023-10-29 03:55:46 -04:00
2a134bfab9
Fix checkpoint loader with config.
2023-10-27 22:13:55 -04:00
e60ca6929a
SD1 and SD2 clip and tokenizer code is now more similar to the SDXL one.
2023-10-27 15:54:04 -04:00
6ec3f12c6e
Support SSD1B model and make it easier to support asymmetric unets.
2023-10-27 14:45:15 -04:00
434ce25ec0
Restrict loading embeddings from embedding folders.
2023-10-27 02:54:13 -04:00
723847f6b3
Faster clip image processing.
2023-10-26 01:53:01 -04:00
a373367b0c
Fix some OOM issues with split and sub quad attention.
2023-10-25 20:17:28 -04:00
7fbb217d3a
Fix uni_pc returning noisy image when steps <= 3
2023-10-25 16:08:30 -04:00
3783cb8bfd
change 'c_adm' to 'y' in ControlNet.get_control
2023-10-25 08:24:32 -05:00
d1d2fea806
Pass extra conds directly to unet.
2023-10-25 00:07:53 -04:00
036f88c621
Refactor to make it easier to add custom conds to models.
2023-10-24 23:31:12 -04:00
3fce8881ca
Sampling code refactor to make it easier to add more conds.
2023-10-24 03:38:41 -04:00
8594c8be4d
Empty the cache when torch cache is more than 25% free mem.
2023-10-22 13:58:12 -04:00
8b65f5de54
attention_basic now works with hypertile.
2023-10-22 03:59:53 -04:00
e6bc42df46
Make sub_quad and split work with hypertile.
2023-10-22 03:51:29 -04:00
a0690f9df9
Fix t2i adapter issue.
2023-10-21 20:31:24 -04:00
9906e3efe3
Make xformers work with hypertile.
2023-10-21 13:23:03 -04:00
4185324a1d
Fix uni_pc sampler math. This changes the images this sampler produces.
2023-10-20 04:16:53 -04:00
e6962120c6
Make sure cond_concat is on the right device.
2023-10-19 01:14:25 -04:00
45c972aba8
Refactor cond_concat into conditioning.
2023-10-18 20:36:58 -04:00
430a8334c5
Fix some potential issues.
2023-10-18 19:48:36 -04:00
782a24fce6
Refactor cond_concat into model object.
2023-10-18 16:48:37 -04:00
0d45a565da
Fix memory issue related to control loras.
...
The cleanup function was not getting called.
2023-10-18 02:43:01 -04:00
d44a2de49f
Make VAE code closer to sgm.
2023-10-17 15:18:51 -04:00
23680a9155
Refactor the attention stuff in the VAE.
2023-10-17 03:19:29 -04:00
c8013f73e5
Add some Quadro cards to the list of cards with broken fp16.
2023-10-16 16:48:46 -04:00
bb064c9796
Add a separate optimized_attention_masked function.
2023-10-16 02:31:24 -04:00
fd4c5f07e7
Add a --bf16-unet to test running the unet in bf16.
2023-10-13 14:51:10 -04:00
9a55dadb4c
Refactor code so model can be a dtype other than fp32 or fp16.
2023-10-13 14:41:17 -04:00
88733c997f
pytorch_attention_enabled can now return True when xformers is enabled.
2023-10-11 21:30:57 -04:00
20d3852aa1
Pull some small changes from the other repo.
2023-10-11 20:38:48 -04:00
ac7d8cfa87
Allow attn_mask in attention_pytorch.
2023-10-11 20:38:48 -04:00
1a4bd9e9a6
Refactor the attention functions.
...
There's no reason for the whole CrossAttention object to be repeated when
only the operation in the middle changes.
2023-10-11 20:38:48 -04:00
8cc75c64ff
Let unet wrapper functions have .to attributes.
2023-10-11 01:34:38 -04:00
5e885bd9c8
Cleanup.
2023-10-10 21:46:53 -04:00
851bb87ca9
Merge branch 'taesd_safetensors' of https://github.com/mochiya98/ComfyUI
2023-10-10 21:42:35 -04:00
9eb621c95a
Supports TAESD models in safetensors format
2023-10-10 13:21:44 +09:00
d1a0abd40b
Merge branch 'input-directory' of https://github.com/jn-jairo/ComfyUI
2023-10-09 01:53:29 -04:00
72188dffc3
load_checkpoint_guess_config can now optionally output the model.
2023-10-06 13:48:18 -04:00
63e5fd1790
Option to input directory
2023-10-04 19:45:15 -03:00
9bfec2bdbf
Fix quality loss due to low precision
2023-10-04 15:40:59 +02:00
0f17993d05
fix: typo in extra sampler
2023-09-29 06:09:59 +03:00
66756de100
Add SamplerDPMPP_2M_SDE node.
2023-09-28 21:56:23 -04:00
71713888c4
Print missing VAE keys.
2023-09-28 00:54:57 -04:00
d234ca558a
Add missing samplers to KSamplerSelect.
2023-09-28 00:17:03 -04:00
1adcc4c3a2
Add a SamplerCustom Node.
...
This node takes a list of sigmas and a sampler object as input.
This lets people easily implement custom schedulers and samplers as nodes.
More nodes will be added to it in the future.
2023-09-27 22:21:18 -04:00
bf3fc2f1b7
Refactor sampling related code.
2023-09-27 16:45:22 -04:00
fff491b032
Model patches can now know which batch is positive and negative.
2023-09-27 12:04:07 -04:00
1d6dd83184
Scheduler code refactor.
2023-09-26 17:07:07 -04:00
446caf711c
Sampling code refactor.
2023-09-26 13:45:15 -04:00
76cdc809bf
Support more controlnet models.
2023-09-23 18:47:46 -04:00
ae87543653
Merge branch 'cast_intel' of https://github.com/simonlui/ComfyUI
2023-09-23 00:57:17 -04:00
eec449ca8e
Allow Intel GPUs to LoRA cast on GPU since it supports BF16 natively.
2023-09-22 21:11:27 -07:00
afa2399f79
Add a way to set output block patches to modify the h and hsp.
2023-09-22 20:26:47 -04:00
492db2de8d
Allow having a different pooled output for each image in a batch.
2023-09-21 01:14:42 -04:00
1cdfb3dba4
Only do the cast on the device if the device supports it.
2023-09-20 17:52:41 -04:00
7c9a92f552
Don't depend on torchvision.
2023-09-19 13:12:47 -04:00
2b6b178173
Added support for lanczos scaling
2023-09-19 10:40:38 +02:00
b92bf8196e
Do lora cast on GPU instead of CPU for higher performance.
2023-09-18 23:04:49 -04:00
321c5fa295
Enable pytorch attention by default on xpu.
2023-09-17 04:09:19 -04:00
61b1f67734
Support models without previews.
2023-09-16 12:59:54 -04:00
43d4935a1d
Add cond_or_uncond array to transformer_options so hooks can check what is
...
cond and what is uncond.
2023-09-15 22:21:14 -04:00
415abb275f
Add DDPM sampler.
2023-09-15 19:22:47 -04:00
94e4fe39d8
This isn't used anywhere.
2023-09-15 12:03:03 -04:00
44361f6344
Support for text encoder models that need attention_mask.
2023-09-15 02:02:05 -04:00
0d8f376446
Set last layer on SD2.x models uses the proper indexes now.
...
Before I had made the last layer the penultimate layer because some
checkpoints don't have them but it's not consistent with the others models.
TLDR: for SD2.x models only: CLIPSetLastLayer -1 is now -2.
2023-09-14 20:28:22 -04:00
0966d3ce82
Don't run text encoders on xpu because there are issues.
2023-09-14 12:16:07 -04:00
3039b08eb1
Only parse command line args when main.py is called.
2023-09-13 11:38:20 -04:00
ed58730658
Don't leave very large hidden states in the clip vision output.
2023-09-12 15:09:10 -04:00
fb3b728203
Fix issue where autocast fp32 CLIP gave different results from regular.
2023-09-11 21:49:56 -04:00
7d401ed1d0
Add ldm format support to UNETLoader.
2023-09-11 16:36:50 -04:00
e85be36bd2
Add a penultimate_hidden_states to the clip vision output.
2023-09-08 14:06:58 -04:00
1e6b67101c
Support diffusers format t2i adapters.
2023-09-08 11:36:51 -04:00
326577d04c
Allow cancelling of everything with a progress bar.
2023-09-07 23:37:03 -04:00
f88f7f413a
Add a ConditioningSetAreaPercentage node.
2023-09-06 03:28:27 -04:00
1938f5c5fe
Add a force argument to soft_empty_cache to force a cache empty.
2023-09-04 00:58:18 -04:00
7746bdf7b0
Merge branch 'generalize_fixes' of https://github.com/simonlui/ComfyUI
2023-09-04 00:43:11 -04:00
2da73b7073
Revert changes in comfy/ldm/modules/diffusionmodules/util.py, which is unused.
2023-09-02 20:07:52 -07:00
a74c5dbf37
Move some functions to utils.py
2023-09-02 22:33:37 -04:00
4a0c4ce4ef
Some fixes to generalize CUDA specific functionality to Intel or other GPUs.
2023-09-02 18:22:10 -07:00
77a176f9e0
Use common function to reshape batch to.
2023-09-02 03:42:49 -04:00
7931ff0fd9
Support SDXL inpaint models.
2023-09-01 15:22:52 -04:00
0e3b641172
Remove xformers related print.
2023-09-01 02:12:03 -04:00
5c363a9d86
Fix controlnet bug.
2023-09-01 02:01:08 -04:00
cfe1c54de8
Fix controlnet issue.
2023-08-31 15:16:58 -04:00
1c012d69af
It doesn't make sense for c_crossattn and c_concat to be lists.
2023-08-31 13:25:00 -04:00
7e941f9f24
Clean up DiffusersLoader node.
2023-08-30 12:57:07 -04:00
18617967e5
Fix error message in model_patcher.py
...
Found while tinkering.
2023-08-30 00:25:04 -07:00
fe4c07400c
Fix "Load Checkpoint with config" node.
2023-08-29 23:58:32 -04:00
f2f5e5dcbb
Support SDXL t2i adapters with 3 channel input.
2023-08-29 16:44:57 -04:00
15adc3699f
Move beta_schedule to model_config and allow disabling unet creation.
2023-08-29 14:22:53 -04:00
bed116a1f9
Remove optimization that caused border.
2023-08-29 11:21:36 -04:00
65cae62c71
No need to check filename extensions to detect shuffle controlnet.
2023-08-28 16:49:06 -04:00
4e89b2c25a
Put clip vision outputs on the CPU.
2023-08-28 16:26:11 -04:00
a094b45c93
Load clipvision model to GPU for faster performance.
2023-08-28 15:29:27 -04:00
1300a1bb4c
Text encoder should initially load on the offload_device not the regular.
2023-08-28 15:08:45 -04:00
f92074b84f
Move ModelPatcher to model_patcher.py
2023-08-28 14:51:31 -04:00
4798cf5a62
Implement loras with norm keys.
2023-08-28 11:20:06 -04:00
b8c7c770d3
Enable bf16-vae by default on ampere and up.
2023-08-27 23:06:19 -04:00
1c794a2161
Fallback to slice attention if xformers doesn't support the operation.
2023-08-27 22:24:42 -04:00
d935ba50c4
Make --bf16-vae work on torch 2.0
2023-08-27 21:33:53 -04:00
a57b0c797b
Fix lowvram model merging.
2023-08-26 11:52:07 -04:00
f72780a7e3
The new smart memory management makes this unnecessary.
2023-08-25 18:02:15 -04:00
c77f02e1c6
Move controlnet code to comfy/controlnet.py
2023-08-25 17:33:04 -04:00
15a7716fa6
Move lora code to comfy/lora.py
2023-08-25 17:11:51 -04:00
ec96f6d03a
Move text_projection to base clip model.
2023-08-24 23:43:48 -04:00
30eb92c3cb
Code cleanups.
2023-08-24 19:39:18 -04:00
51dde87e97
Try to free enough vram for control lora inference.
2023-08-24 17:20:54 -04:00
e3d0a9a490
Fix potential issue with text projection matrix multiplication.
2023-08-24 00:54:16 -04:00
cc44ade79e
Always shift text encoder to GPU when the device supports fp16.
2023-08-23 21:45:00 -04:00
a6ef08a46a
Even with forced fp16 the cpu device should never use it.
2023-08-23 21:38:28 -04:00
00c0b2c507
Initialize text encoder to target dtype.
2023-08-23 21:01:15 -04:00
f081017c1a
Save memory by storing text encoder weights in fp16 in most situations.
...
Do inference in fp32 to make sure quality stays the exact same.
2023-08-23 01:08:51 -04:00
afcb9cb1df
All resolutions now work with t2i adapter for SDXL.
2023-08-22 16:23:54 -04:00
85fde89d7f
T2I adapter SDXL.
2023-08-22 14:40:43 -04:00
cf5ae46928
Controlnet/t2iadapter cleanup.
2023-08-22 01:06:26 -04:00
763b0cf024
Fix control lora not working in fp32.
2023-08-21 20:38:31 -04:00
199d73364a
Fix ControlLora on lowvram.
2023-08-21 00:54:04 -04:00
d08e53de2e
Remove autocast from controlnet code.
2023-08-20 21:47:32 -04:00
0d7b0a4dc7
Small cleanups.
2023-08-20 14:56:47 -04:00
9225465975
Further tuning and fix mem_free_total.
2023-08-20 14:19:53 -04:00
2c096e4260
Add ipex optimize and other enhancements for Intel GPUs based on recent memory changes.
2023-08-20 14:19:51 -04:00
e9469e732d
--disable-smart-memory now disables loading model directly to vram.
2023-08-20 04:00:53 -04:00
c9b562aed1
Free more memory before VAE encode/decode.
2023-08-19 12:13:13 -04:00
b80c3276dc
Fix issue with gligen.
2023-08-18 16:32:23 -04:00
d6e4b342e6
Support for Control Loras.
...
Control loras are controlnets where some of the weights are stored in
"lora" format: an up and a down low rank matrice that when multiplied
together and added to the unet weight give the controlnet weight.
This allows a much smaller memory footprint depending on the rank of the
matrices.
These controlnets are used just like regular ones.
2023-08-18 11:59:51 -04:00
39ac856a33
ReVision support: unclip nodes can now be used with SDXL.
2023-08-18 11:59:36 -04:00
76d53c4622
Add support for clip g vision model to CLIPVisionLoader.
2023-08-18 11:13:29 -04:00
e59fe0537a
Fix referenced before assignment
...
For https://github.com/BlenderNeko/ComfyUI_TiledKSampler/issues/13
2023-08-17 22:30:07 +02:00
be9c5e25bc
Fix issue with not freeing enough memory when sampling.
2023-08-17 15:59:56 -04:00
ac0758a1a4
Fix bug with lowvram and controlnet advanced node.
2023-08-17 13:38:51 -04:00
c28db1f315
Fix potential issues with patching models when saving checkpoints.
2023-08-17 11:07:08 -04:00
3aee33b54e
Add --disable-smart-memory for those that want the old behaviour.
2023-08-17 03:12:37 -04:00
2be2742711
Fix issue with regular torch version.
2023-08-17 01:58:54 -04:00
89a0767abf
Smarter memory management.
...
Try to keep models on the vram when possible.
Better lowvram mode for controlnets.
2023-08-17 01:06:34 -04:00
2c97c30256
Support small diffusers controlnet so both types are now supported.
2023-08-16 12:45:56 -04:00
53f326a3d8
Support diffusers mini controlnets.
2023-08-16 12:28:01 -04:00
58f0c616ed
Fix clip vision issue with old transformers versions.
2023-08-16 11:36:22 -04:00
ae270f79bc
Fix potential issue with batch size and clip vision.
2023-08-16 11:05:11 -04:00
a2ce9655ca
Refactor unclip code.
2023-08-14 23:48:47 -04:00
9cc12c833d
CLIPVisionEncode can now encode multiple images.
2023-08-14 16:54:05 -04:00
0cb6dac943
Remove 3m from PR #1213 because of some small issues.
2023-08-14 00:48:45 -04:00
e244b2df83
Add sgm_uniform scheduler that acts like the default one in sgm.
2023-08-14 00:29:03 -04:00
58c7da3665
Gpu variant of dpmpp_3m_sde. Note: use 3m with exponential or karras.
2023-08-14 00:28:50 -04:00
ba319a34e4
Merge branch 'dpmpp3m' of https://github.com/FizzleDorf/ComfyUI
2023-08-14 00:23:15 -04:00
3cfad03a68
dpmpp 3m + dpmpp 3m sde added
2023-08-13 22:29:04 -04:00
585a062910
Print unet config when model isn't detected.
2023-08-13 01:39:48 -04:00
c8a23ce9e8
Support for yet another lora type based on diffusers.
2023-08-11 13:04:21 -04:00
2bc12d3d22
Add --temp-directory argument to set temp directory.
2023-08-11 05:13:03 -04:00
c20583286f
Support diffuser text encoder loras.
2023-08-10 20:28:28 -04:00
cf10c5592c
Disable calculating uncond when CFG is 1.0
2023-08-09 20:55:03 -04:00
1f0f4cc0bd
Add argument to disable auto launching the browser.
2023-08-07 02:25:12 -04:00
d8e58f0a7e
Detect hint_channels from controlnet.
2023-08-06 14:08:59 -04:00
c5d7593ccf
Support loras in diffusers format.
2023-08-05 01:40:24 -04:00
1ce0d8ad68
Add CMP 30HX card to the nvidia_16_series list.
2023-08-04 12:08:45 -04:00
c99d8002f8
Make sure the pooled output stays at the EOS token with added embeddings.
2023-08-03 20:27:50 -04:00
4a77fcd6ab
Only shift text encoder to vram when CPU cores are under 8.
2023-07-31 00:08:54 -04:00
3cd31d0e24
Lower CPU thread check for running the text encoder on the CPU vs GPU.
2023-07-30 17:18:24 -04:00
2b13939044
Remove some useless code.
2023-07-30 14:13:33 -04:00
95d796fc85
Faster VAE loading.
2023-07-29 16:28:30 -04:00
4b957a0010
Initialize the unet directly on the target device.
2023-07-29 14:51:56 -04:00
c910b4a01c
Remove unused code and torchdiffeq dependency.
2023-07-28 21:32:27 -04:00
1141029a4a
Add --disable-metadata argument to disable saving metadata in files.
2023-07-28 12:31:41 -04:00
fbf5c51c1c
Merge branch 'fix_batch_timesteps' of https://github.com/asagi4/ComfyUI
2023-07-27 16:13:48 -04:00
68be24eead
Remove some prints.
2023-07-27 16:12:43 -04:00
1ea4d84691
Fix timestep ranges when batch_size > 1
2023-07-27 21:14:09 +03:00
5379051d16
Fix diffusers VAE loading.
2023-07-26 18:26:39 -04:00
727588d076
Fix some new loras.
2023-07-25 16:39:15 -04:00
4f9b6f39d1
Fix potential issue with Save Checkpoint.
2023-07-25 00:45:20 -04:00
5f75d784a1
Start is now 0.0 and end is now 1.0 for the timestep ranges.
2023-07-24 18:38:17 -04:00
7ff14b62f8
ControlNetApplyAdvanced can now define when controlnet gets applied.
2023-07-24 17:50:49 -04:00
d191c4f9ed
Add a ControlNetApplyAdvanced node.
...
The controlnet can be applied to the positive or negative prompt only by
connecting it correctly.
2023-07-24 13:35:20 -04:00
0240946ecf
Add a way to set which range of timesteps the cond gets applied to.
2023-07-24 09:25:02 -04:00
22f29d66ca
Try to fix memory issue with lora.
2023-07-22 21:38:56 -04:00
67be7eb81d
Nodes can now patch the unet function.
2023-07-22 17:01:12 -04:00
12a6e93171
Del the right object when applying lora.
2023-07-22 11:25:49 -04:00
78e7958d17
Support controlnet in diffusers format.
2023-07-21 22:58:16 -04:00
09386a3697
Fix issue with lora in some cases when combined with model merging.
2023-07-21 21:27:27 -04:00
58b2364f58
Properly support SDXL diffusers unet with UNETLoader node.
2023-07-21 14:38:56 -04:00
0115018695
Print errors and continue when lora weights are not compatible.
2023-07-20 19:56:22 -04:00
4760c29380
Merge branch 'fix-AttributeError-module-'torch'-has-no-attribute-'mps'' of https://github.com/KarryCharon/ComfyUI
2023-07-20 00:34:54 -04:00
0b284f650b
Fix typo.
2023-07-19 10:20:32 -04:00
e032ca6138
Fix ddim issue with older torch versions.
2023-07-19 10:16:00 -04:00
18885f803a
Add MX450 and MX550 to list of cards with broken fp16.
2023-07-19 03:08:30 -04:00
9ba440995a
It's actually possible to torch.compile the unet now.
2023-07-18 21:36:35 -04:00
51d5477579
Add key to indicate checkpoint is v_prediction when saving.
2023-07-18 00:25:53 -04:00
ff6b047a74
Fix device print on old torch version.
2023-07-17 15:18:58 -04:00
9871a15cf9
Enable --cuda-malloc by default on torch 2.0 and up.
...
Add --disable-cuda-malloc to disable it.
2023-07-17 15:12:10 -04:00
55d0fca9fa
--windows-standalone-build now enables --cuda-malloc
2023-07-17 14:10:36 -04:00
1679abd86d
Add a command line argument to enable backend:cudaMallocAsync
2023-07-17 11:00:14 -04:00
3a150bad15
Only calculate randn in some samplers when it's actually being used.
2023-07-17 10:11:08 -04:00
ee8f8ee07f
Fix regression with ddim and uni_pc when batch size > 1.
2023-07-17 09:35:19 -04:00
3ded1a3a04
Refactor of sampler code to deal more easily with different model types.
2023-07-17 01:22:12 -04:00
5f57362613
Lower lora ram usage when in normal vram mode.
2023-07-16 02:59:04 -04:00
490771b7f4
Speed up lora loading a bit.
2023-07-15 13:25:22 -04:00
50b1180dde
Fix CLIPSetLastLayer not reverting when removed.
2023-07-15 01:41:21 -04:00
6fb084f39d
Reduce floating point rounding errors in loras.
2023-07-15 00:53:00 -04:00
91ed2815d5
Add a node to merge CLIP models.
2023-07-14 02:41:18 -04:00
b2f03164c7
Prevent the clip_g position_ids key from being saved in the checkpoint.
...
This is to make it match the official checkpoint.
2023-07-12 20:15:02 -04:00
46dc050c9f
Fix potential tensors being on different devices issues.
2023-07-12 19:29:27 -04:00
3e2309f149
fix mps miss import
2023-07-12 10:06:34 +08:00
606a537090
Support SDXL embedding format with 2 CLIP.
2023-07-10 10:34:59 -04:00
6ad0a6d7e2
Don't patch weights when multiplier is zero.
2023-07-09 17:46:56 -04:00
d5323d16e0
latent2rgb matrix for SDXL.
2023-07-09 13:59:09 -04:00
0ae81c03bb
Empty cache after model unloading for normal vram and lower.
2023-07-09 09:56:03 -04:00
d3f5998218
Support loading clip_g from diffusers in CLIP Loader nodes.
2023-07-09 09:33:53 -04:00
a9a4ba7574
Fix merging not working when model2 of model merge node was a merge.
2023-07-08 22:31:10 -04:00
bb5fbd29e9
Merge branch 'condmask-fix' of https://github.com/vmedea/ComfyUI
2023-07-07 01:52:25 -04:00
e7bee85df8
Add arguments to run the VAE in fp16 or bf16 for testing.
2023-07-06 23:23:46 -04:00
608fcc2591
Fix bug with weights when prompt is long.
2023-07-06 02:43:40 -04:00
ddc6f12ad5
Disable autocast in unet for increased speed.
2023-07-05 21:58:29 -04:00
603f02d613
Fix loras not working when loading checkpoint with config.
2023-07-05 19:42:24 -04:00
af7a49916b
Support loading unet files in diffusers format.
2023-07-05 17:38:59 -04:00
e57cba4c61
Add gpu variations of the sde samplers that are less deterministic
...
but faster.
2023-07-05 01:39:38 -04:00
f81b192944
Add logit scale parameter so it's present when saving the checkpoint.
2023-07-04 23:01:28 -04:00
acf95191ff
Properly support SDXL diffusers loras for unet.
2023-07-04 21:15:23 -04:00
c61a95f9f7
Fix size check for conditioning mask
...
The wrong dimensions were being checked, [1] and [2] are the image size.
not [2] and [3]. This results in an out-of-bounds error if one of them
actually matches.
2023-07-04 16:34:42 +02:00
8d694cc450
Fix issue with OSX.
2023-07-04 02:09:02 -04:00
c3e96e637d
Pass device to CLIP model.
2023-07-03 16:09:37 -04:00
5e6bc824aa
Allow passing custom path to clip-g and clip-h.
2023-07-03 15:45:04 -04:00
dc9d1f31c8
Improvements for OSX.
2023-07-03 00:08:30 -04:00
103c487a89
Cleanup.
2023-07-02 11:58:23 -04:00
2c4e0b49b7
Switch to fp16 on some cards when the model is too big.
2023-07-02 10:00:57 -04:00
6f3d9f52db
Add a --force-fp16 argument to force fp16 for testing.
2023-07-01 22:42:35 -04:00
1c1b0e7299
--gpu-only now keeps the VAE on the device.
2023-07-01 15:22:40 -04:00
ce35d8c659
Lower latency by batching some text encoder inputs.
2023-07-01 15:07:39 -04:00
3b6fe51c1d
Leave text_encoder on the CPU when it can handle it.
2023-07-01 14:38:51 -04:00
b6a60fa696
Try to keep text encoders loaded and patched to increase speed.
...
load_model_gpu() is now used with the text encoder models instead of just
the unet.
2023-07-01 13:28:07 -04:00
97ee230682
Make highvram and normalvram shift the text encoders to vram and back.
...
This is faster on big text encoder models than running it on the CPU.
2023-07-01 12:37:23 -04:00
5a9ddf94eb
LoraLoader node now caches the lora file between executions.
2023-06-29 23:40:51 -04:00
9920367d3c
Fix embeddings not working with --gpu-only
2023-06-29 20:43:06 -04:00
62db11683b
Move unet to device right after loading on highvram mode.
2023-06-29 20:43:06 -04:00
4376b125eb
Remove useless code.
2023-06-29 00:26:33 -04:00
89120f1fbe
This is unused but it should be 1280.
2023-06-28 18:04:23 -04:00
2c7c14de56
Support for SDXL text encoder lora.
2023-06-28 02:22:49 -04:00
fcef47f06e
Fix bug.
2023-06-28 00:38:07 -04:00
8248babd44
Use pytorch attention by default on nvidia when xformers isn't present.
...
Add a new argument --use-quad-cross-attention
2023-06-26 13:03:44 -04:00
9b93b920be
Add CheckpointSave node to save checkpoints.
...
The created checkpoints contain workflow metadata that can be loaded by
dragging them on top of the UI or loading them with the "Load" button.
Checkpoints will be saved in fp16 or fp32 depending on the format ComfyUI
is using for inference on your hardware. To force fp32 use: --force-fp32
Anything that patches the model weights like merging or loras will be
saved.
The output directory is currently set to: output/checkpoints but that might
change in the future.
2023-06-26 12:22:27 -04:00
b72a7a835a
Support loras based on the stability unet implementation.
2023-06-26 02:56:11 -04:00
c71a7e6b20
Fix ddim + inpainting not working.
2023-06-26 00:48:48 -04:00
4eab00e14b
Set the seed in the SDE samplers to make them more reproducible.
2023-06-25 03:04:57 -04:00
cef6aa62b2
Add support for TAESD decoder for SDXL.
2023-06-25 02:38:14 -04:00
20f579d91d
Add DualClipLoader to load clip models for SDXL.
...
Update LoadClip to load clip models for SDXL refiner.
2023-06-25 01:40:38 -04:00
b7933960bb
Fix CLIPLoader node.
2023-06-24 13:56:46 -04:00
78d8035f73
Fix bug with controlnet.
2023-06-24 11:02:38 -04:00
05676942b7
Add some more transformer hooks and move tomesd to comfy_extras.
...
Tomesd now uses q instead of x to decide which tokens to merge because
it seems to give better results.
2023-06-24 03:30:22 -04:00
fa28d7334b
Remove useless code.
2023-06-23 12:35:26 -04:00
8607c2d42d
Move latent scale factor from VAE to model.
2023-06-23 02:33:31 -04:00
30a3861946
Fix bug when yaml config has no clip params.
2023-06-23 01:12:59 -04:00
9e37f4c7d5
Fix error with ClipVision loader node.
2023-06-23 01:08:05 -04:00
9f83b098c9
Don't merge weights when shapes don't match and print a warning.
2023-06-22 19:08:31 -04:00
f87ec10a97
Support base SDXL and SDXL refiner models.
...
Large refactor of the model detection and loading code.
2023-06-22 13:03:50 -04:00
9fccf4aa03
Add original_shape parameter to transformer patch extra_options.
2023-06-21 13:22:01 -04:00
51581dbfa9
Fix last commits causing an issue with the text encoder lora.
2023-06-20 19:44:39 -04:00
8125b51a62
Keep a set of model_keys for faster add_patches.
2023-06-20 19:08:48 -04:00
45beebd33c
Add a type of model patch useful for model merging.
2023-06-20 17:34:11 -04:00
036a22077c
Fix k_diffusion math being off by a tiny bit during txt2img.
2023-06-19 15:28:54 -04:00
8883cb0f67
Add a way to set patches that modify the attn2 output.
...
Change the transformer patches function format to be more future proof.
2023-06-18 22:58:22 -04:00
cd930d4e7f
pop clip vision keys after loading them.
2023-06-18 21:21:17 -04:00
c9e4a8c9e5
Not needed anymore.
2023-06-18 13:06:59 -04:00
fb4bf7f591
This is not needed anymore and causes issues with alphas_cumprod.
2023-06-18 03:18:25 -04:00
45be2e92c1
Fix DDIM v-prediction.
2023-06-17 20:48:21 -04:00
e6e50ab2dd
Fix an issue when alphas_comprod are half floats.
2023-06-16 17:16:51 -04:00
ae43f09ef7
All the unet weights should now be initialized with the right dtype.
2023-06-15 18:42:30 -04:00
f7edcfd927
Add a --gpu-only argument to keep and run everything on the GPU.
...
Make the CLIP model work on the GPU.
2023-06-15 15:38:52 -04:00
7bf89ba923
Initialize more unet weights as the right dtype.
2023-06-15 15:00:10 -04:00
e21d9ad445
Initialize transformer unet block weights in right dtype at the start.
2023-06-15 14:29:26 -04:00
bb1f45d6e8
Properly disable weight initialization in clip models.
2023-06-14 20:13:08 -04:00
21f04fe632
Disable default weight values in unet conv2d for faster loading.
2023-06-14 19:46:08 -04:00
9d54066ebc
This isn't needed for inference.
2023-06-14 13:05:08 -04:00
fa2cca056c
Don't initialize CLIPVision weights to default values.
2023-06-14 12:57:02 -04:00
6b774589a5
Set model to fp16 before loading the state dict to lower ram bump.
2023-06-14 12:48:02 -04:00
0c7cad404c
Don't initialize clip weights to default values.
2023-06-14 12:47:36 -04:00
6971646b8b
Speed up model loading a bit.
...
Default pytorch Linear initializes the weights which is useless and slow.
2023-06-14 12:09:41 -04:00
388567f20b
sampler_cfg_function now uses a dict for the argument.
...
This means arguments can be added without issues.
2023-06-13 16:10:36 -04:00
ff9b22d79e
Turn on safe load for a few models.
2023-06-13 10:12:03 -04:00
735ac4cf81
Remove pytorch_lightning dependency.
2023-06-13 10:11:33 -04:00
2b14041d4b
Remove useless code.
2023-06-13 02:40:58 -04:00
274dff3257
Remove more useless files.
2023-06-13 02:22:19 -04:00
f0a2b81cd0
Cleanup: Remove a bunch of useless files.
2023-06-13 02:19:08 -04:00
f8c5931053
Split the batch in VAEEncode if there's not enough memory.
2023-06-12 00:21:50 -04:00
c069fc0730
Auto switch to tiled VAE encode if regular one runs out of memory.
2023-06-11 23:25:39 -04:00
c64ca8c0b2
Refactor unCLIP noise augment out of samplers.py
2023-06-11 04:01:18 -04:00
de142eaad5
Simpler base model code.
2023-06-09 12:31:16 -04:00
23cf8ca7c5
Fix bug when embedding gets ignored because of mismatched size.
2023-06-08 23:48:14 -04:00
0e425603fb
Small refactor.
2023-06-06 13:23:01 -04:00
a3a713b6c5
Refactor previews into one command line argument.
...
Clean up a few things.
2023-06-06 02:13:05 -04:00
3e17971acb
preview method autodetection
2023-06-05 18:59:10 -05:00
d5a28fadaa
Add latent2rgb preview
2023-06-05 18:39:56 -05:00
48f7ec750c
Make previews into cli option
2023-06-05 13:19:02 -05:00
b4f434ee66
Preview sampled images with TAESD
2023-06-05 09:20:17 -05:00
fed0a4dd29
Some comments to say what the vram state options mean.
2023-06-04 17:51:04 -04:00
0a5fefd621
Cleanups and fixes for model_management.py
...
Hopefully fix regression on MPS and CPU.
2023-06-03 11:05:37 -04:00
700491d81a
Implement global average pooling for controlnet.
2023-06-03 01:49:03 -04:00
67892b5ac5
Refactor and improve model_management code related to free memory.
2023-06-02 15:21:33 -04:00
499641ebf1
More accurate total
2023-06-02 00:14:41 -05:00
b5dd15c67a
System stats endpoint
2023-06-01 23:26:23 -05:00
5c38958e49
Tweak lowvram model memory so it's closer to what it was before.
2023-06-01 04:04:35 -04:00
94680732d3
Empty cache on mps.
2023-06-01 03:52:51 -04:00
03da8a3426
This is useless for inference.
2023-05-31 13:03:24 -04:00
eb448dd8e1
Auto load model in lowvram if not enough memory.
2023-05-30 12:36:41 -04:00
b9818eb910
Add route to get safetensors metadata:
...
/view_metadata/loras?filename=lora.safetensors
2023-05-29 02:48:50 -04:00
a532888846
Support VAEs in diffusers format.
2023-05-28 02:02:09 -04:00
0fc483dcfd
Refactor diffusers model convert code to be able to reuse it.
2023-05-28 01:55:40 -04:00
eb4bd7711a
Remove einops.
2023-05-25 18:42:56 -04:00
87ab25fac7
Do operations in same order as the one it replaces.
2023-05-25 18:31:27 -04:00
2b1fac9708
Merge branch 'master' of https://github.com/BlenderNeko/ComfyUI
2023-05-25 14:44:16 -04:00
e1278fa925
Support old pytorch versions that don't have weights_only.
2023-05-25 13:30:59 -04:00
8b4b0c3188
vecorized bislerp
2023-05-25 19:23:47 +02:00
b8ccbec6d8
Various improvements to bislerp.
2023-05-23 11:40:24 -04:00
34887b8885
Add experimental bislerp algorithm for latent upscaling.
...
It's like bilinear but with slerp.
2023-05-23 03:12:56 -04:00
6cc450579b
Auto transpose images from exif data.
2023-05-22 00:22:24 -04:00
dc198650c0
sample_dpmpp_2m_sde no longer crashes when step == 1.
2023-05-21 11:34:29 -04:00
069657fbf3
Add DPM-Solver++(2M) SDE and exponential scheduler.
...
exponential scheduler is the one recommended with this sampler.
2023-05-21 01:46:03 -04:00
b8636a44aa
Make scaled_dot_product switch to sliced attention on OOM.
2023-05-20 16:01:02 -04:00
797c4e8d3b
Simplify and improve some vae attention code.
2023-05-20 15:07:21 -04:00
ef815ba1e2
Switch default scheduler to normal.
2023-05-15 00:29:56 -04:00
68d12b530e
Merge branch 'tiled_sampler' of https://github.com/BlenderNeko/ComfyUI
2023-05-14 15:39:39 -04:00
3a1f47764d
Print the torch device that is used on startup.
2023-05-13 17:11:27 -04:00
1201d2eae5
Make nodes map over input lists ( #579 )
...
* allow nodes to map over lists
* make work with IS_CHANGED and VALIDATE_INPUTS
* give list outputs distinct socket shape
* add rebatch node
* add batch index logic
* add repeat latent batch
* deal with noise mask edge cases in latentfrombatch
2023-05-13 11:15:45 -04:00
19c014f429
comment out annoying print statement
2023-05-12 23:57:40 +02:00
d9e088ddfd
minor changes for tiled sampler
2023-05-12 23:49:09 +02:00
f7c0f75d1f
Auto batching improvements.
...
Try batching when cond sizes don't match with smart padding.
2023-05-10 13:59:24 -04:00
314e526c5c
Not needed anymore because sampling works with any latent size.
2023-05-09 12:18:18 -04:00
c6e34963e4
Make t2i adapter work with any latent resolution.
2023-05-08 18:15:19 -04:00
a1f12e370d
Merge branch 'autostart' of https://github.com/EllangoK/ComfyUI
2023-05-07 17:19:03 -04:00
6fc4917634
Make maximum_batch_area take into account python2.0 attention function.
...
More conservative xformers maximum_batch_area.
2023-05-06 19:58:54 -04:00
678f933d38
maximum_batch_area for xformers.
...
Remove useless code.
2023-05-06 19:28:46 -04:00
8e03c789a2
auto-launch cli arg
2023-05-06 16:59:40 -04:00
cb1551b819
Lowvram mode for gligen and fix some lowvram issues.
2023-05-05 18:11:41 -04:00
af9cc1fb6a
Search recursively in subfolders for embeddings.
2023-05-05 01:28:48 -04:00
6ee11d7bc0
Fix import.
2023-05-05 00:19:35 -04:00
bae4fb4a9d
Fix imports.
2023-05-04 18:10:29 -04:00
fcf513e0b6
Refactor.
2023-05-03 17:48:35 -04:00
a74e176a24
Merge branch 'tiled-progress' of https://github.com/pythongosssss/ComfyUI
2023-05-03 16:24:56 -04:00
5eeecf3fd5
remove unused import
2023-05-03 18:21:23 +01:00
8912623ea9
use comfy progress bar
2023-05-03 18:19:22 +01:00
908dc1d5a8
Add a total_steps value to sampler callback.
2023-05-03 12:58:10 -04:00
fdf57325f4
Merge remote-tracking branch 'origin/master' into tiled-progress
2023-05-03 17:33:42 +01:00
27df74101e
reduce duplication
2023-05-03 17:33:19 +01:00
93c64afaa9
Use sampler callback instead of tqdm hook for progress bar.
2023-05-02 23:00:49 -04:00
06ad35b493
added progress to encode + upscale
2023-05-02 19:18:07 +01:00
ba8a4c3667
Change latent resolution step to 8.
2023-05-02 14:17:51 -04:00
66c8aa5c3e
Make unet work with any input shape.
2023-05-02 13:31:43 -04:00
9c335a553f
LoKR support.
2023-05-01 18:18:23 -04:00
d3293c8339
Properly disable all progress bars when disable_pbar=True
2023-05-01 15:52:17 -04:00
a2e18b1504
allow disabling of progress bar when sampling
2023-04-30 18:59:58 +02:00
071011aebe
Mask strength should be separate from area strength.
2023-04-29 20:06:53 -04:00
870fae62e7
Merge branch 'condition_by_mask_node' of https://github.com/guill/ComfyUI
2023-04-29 15:05:18 -04:00
af02393c2a
Default to sampling entire image
...
By default, when applying a mask to a condition, the entire image will
still be used for sampling. The new "set_area_to_bounds" option on the
node will allow the user to automatically limit conditioning to the
bounds of the mask.
I've also removed the dependency on torchvision for calculating bounding
boxes. I've taken the opportunity to fix some frustrating details in the
other version:
1. An all-0 mask will no longer cause an error
2. Indices are returned as integers instead of floats so they can be
used to index into tensors.
2023-04-29 00:16:58 -07:00
056e5545ff
Don't try to get vram from xpu or cuda when directml is enabled.
2023-04-29 00:28:48 -04:00
2ca934f7d4
You can now select the device index with: --directml id
...
Like this for example: --directml 1
2023-04-28 16:51:35 -04:00
3baded9892
Basic torch_directml support. Use --directml to use it.
2023-04-28 14:28:57 -04:00
e214c917ae
Add Condition by Mask node
...
This PR adds support for a Condition by Mask node. This node allows
conditioning to be limited to a non-rectangle area.
2023-04-27 20:03:27 -07:00
5a971cecdb
Add callback to sampler function.
...
Callback format is: callback(step, x0, x)
2023-04-27 04:38:44 -04:00
aa57136dae
Some fixes to the batch masks PR.
2023-04-25 01:12:40 -04:00
c50208a703
Refactor more code to sample.py
2023-04-24 23:25:51 -04:00
7983b3a975
This is cleaner this way.
2023-04-24 22:45:35 -04:00
0b07b2cc0f
gligen tuple
2023-04-24 21:47:57 +02:00
c8c9926eeb
Add progress to vae decode tiled
2023-04-24 11:55:44 +01:00
d9b1595f85
made sample functions more explicit
2023-04-24 12:53:10 +02:00
5818539743
add docstrings
2023-04-23 20:09:09 +02:00
8d2de420d3
Merge branch 'master' of https://github.com/BlenderNeko/ComfyUI
2023-04-23 20:02:18 +02:00
2a09e2aa27
refactor/split various bits of code for sampling
2023-04-23 20:02:08 +02:00
5282f56434
Implement Linear hypernetworks.
...
Add a HypernetworkLoader node to use hypernetworks.
2023-04-23 12:35:25 -04:00
6908f9c949
This makes pytorch2.0 attention perform a bit faster.
2023-04-22 14:30:39 -04:00
907010e082
Remove some useless code.
2023-04-20 23:58:25 -04:00
96b57a9ad6
Don't pass adm to model when it doesn't support it.
2023-04-19 21:11:38 -04:00
3696d1699a
Add support for GLIGEN textbox model.
2023-04-19 11:06:32 -04:00
884ea653c8
Add a way for nodes to set a custom CFG function.
2023-04-17 11:05:15 -04:00
73c3e11e83
Fix model_management import so it doesn't get executed twice.
2023-04-15 19:04:33 -04:00
81d1f00df3
Some refactoring: from_tokens -> encode_from_tokens
2023-04-15 18:46:58 -04:00
719c26c3c9
Merge branch 'master' of https://github.com/BlenderNeko/ComfyUI
2023-04-15 14:16:50 -04:00
d0b1b6c6bf
fixed improper padding
2023-04-15 19:38:21 +02:00
deb2b93e79
Move code to empty gpu cache to model_management.py
2023-04-15 11:19:07 -04:00
04d9bc13af
Safely load pickled embeds that don't load with weights_only=True.
2023-04-14 15:33:43 -04:00
da115bd78d
ensure backwards compat with optional args
2023-04-14 21:16:55 +02:00
752f7a162b
align behavior with old tokenize function
2023-04-14 21:02:45 +02:00
334aab05e5
Don't stop workflow if loading embedding fails.
2023-04-14 13:54:00 -04:00
73175cf58c
split tokenizer from encoder
2023-04-13 22:06:50 +02:00
8489cba140
add unique ID per word/embedding for tokenizer
2023-04-13 22:01:01 +02:00
92eca60ec9
Fix for new transformers version.
2023-04-09 15:55:21 -04:00
1e1875f674
Print xformers version and warning about 0.0.18
2023-04-09 01:31:47 -04:00
7e254d2f69
Clarify what --windows-standalone-build does.
2023-04-07 15:52:56 -04:00
44fea05064
Cleanup.
2023-04-07 02:31:46 -04:00
58ed0f2da4
Fix loading SD1.5 diffusers checkpoint.
2023-04-07 01:30:33 -04:00
8b9ac8fedb
Merge branch 'master' of https://github.com/sALTaccount/ComfyUI
2023-04-07 01:03:43 -04:00
64557d6781
Add a --force-fp32 argument to force fp32 for debugging.
2023-04-07 00:27:54 -04:00
bceccca0e5
Small refactor.
2023-04-06 23:53:54 -04:00
28a7205739
Merge branch 'ipex' of https://github.com/kwaa/ComfyUI-IPEX
2023-04-06 23:45:29 -04:00
05eeaa2de5
Merge branch 'master' into ipex
2023-04-07 09:11:30 +08:00
28fff5d1db
fixes lack of support for multi configs
...
also adds some metavars to argarse
2023-04-06 19:06:39 -04:00
f84f2508cc
Rename the cors parameter to something more verbose.
2023-04-06 15:24:55 -04:00
48efae1608
makes cors a cli parameter
2023-04-06 15:06:22 -04:00
01c1fc669f
set listen flag to listen on all if specifed
2023-04-06 13:19:00 -04:00
3e2608e12b
Fix auto lowvram detection on CUDA
2023-04-06 15:44:05 +08:00
60127a8304
diffusers loader
2023-04-05 23:57:31 -07:00
7cb924f684
Use separate variables instead of `vram_state`
2023-04-06 14:24:47 +08:00
84b9c0ac2f
Import intel_extension_for_pytorch as ipex
2023-04-06 12:27:22 +08:00
e5e587b1c0
seperates out arg parser and imports args
2023-04-05 23:41:23 -04:00
37713e3b0a
Add basic XPU device support
...
closed #387
2023-04-05 21:22:14 +08:00
e46b1c3034
Disable xformers in VAE when xformers == 0.0.18
2023-04-04 22:22:02 -04:00
1718730e80
Ignore embeddings when sizes don't match and print a WARNING.
2023-04-04 11:49:29 -04:00
23524ad8c5
Remove print.
2023-04-03 22:58:54 -04:00
539ff487a8
Pull latest tomesd code from upstream.
2023-04-03 15:49:28 -04:00
f50b1fec69
Add noise augmentation setting to unCLIPConditioning.
2023-04-03 13:50:29 -04:00
809bcc8ceb
Add support for unCLIP SD2.x models.
...
See _for_testing/unclip in the UI for the new nodes.
unCLIPCheckpointLoader is used to load them.
unCLIPConditioning is used to add the image cond and takes as input a
CLIPVisionEncode output which has been moved to the conditioning section.
2023-04-01 23:19:15 -04:00
0d972b85e6
This seems to give better quality in tome.
2023-03-31 18:36:18 -04:00
18a6c1db33
Add a TomePatchModel node to the _for_testing section.
...
Tome increases sampling speed at the expense of quality.
2023-03-31 17:19:58 -04:00
61ec3c9d5d
Add a way to pass options to the transformers blocks.
2023-03-31 13:04:39 -04:00
afd65d3819
Fix noise mask not working with > 1 batch size on ksamplers.
2023-03-30 03:50:12 -04:00
b2554bc4dd
Split VAE decode batches depending on free memory.
2023-03-29 02:24:37 -04:00
0d65cb17b7
Fix ddim_uniform crashing with 37 steps.
2023-03-28 16:29:35 -04:00
f55755f0d2
code cleanup
2023-03-27 06:48:09 +02:00
cf0098d539
no lowvram state if cpu only
2023-03-27 04:51:18 +02:00
f5365c9c81
Fix ddim for Mac: #264
2023-03-26 00:36:54 -04:00
4adcea7228
I don't think controlnets were being handled correctly by MPS.
2023-03-24 14:33:16 -04:00
3c6ff8821c
Merge branch 'master' of https://github.com/GaidamakUA/ComfyUI
2023-03-24 13:56:43 -04:00
comfyanonymous
pythongosssss
Hari
Rafie Walker
Jianqi Pan
gameltb
Jedrzej Kosinski
Yukimasa Funaoka
Jairo Correa
City
badayvedat
Simon Lui
MoonRide303
Alexopus
FizzleDorf
asagi4
KarryCharon
mara
space-nuko
BlenderNeko
EllangoK
Jacob Segal
藍+85CD
sALTaccount
Francesco Yoshi Gobbo