f9e55d8463
Only auto enable bf16 VAE on nvidia GPUs that actually support it.
2024-01-15 03:10:22 -05:00
2395ae740a
Make unclip more deterministic.
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Pass a seed argument note that this might make old unclip images different.
2024-01-14 17:28:31 -05:00
53c8a99e6c
Make server storage the default.
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Remove --server-storage argument.
2024-01-11 17:21:40 -05:00
977eda19a6
Don't round noise mask.
2024-01-11 03:29:58 -05:00
10f2609fdd
Add InpaintModelConditioning node.
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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 )
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* 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
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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.
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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.
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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.
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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.
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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.
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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.
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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 )
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* 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
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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.
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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.
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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.
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--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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
comfyanonymous
pythongosssss
Hari
Rafie Walker
Jianqi Pan