comfyanonymous
89507f8adf
Remove some unused imports.
2024-01-25 23:42:37 -05:00
Dr.Lt.Data
05cd00695a
typo fix - calculate_sigmas_scheduler ( #2619 )
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self.scheduler -> scheduler_name
Co-authored-by: Lt.Dr.Data <lt.dr.data@gmail.com>
2024-01-23 03:47:01 -05:00
comfyanonymous
8c6493578b
Implement noise augmentation for SD 4X upscale model.
2024-01-03 14:27:11 -05:00
comfyanonymous
9a7619b72d
Fix regression with inpaint model.
2023-12-19 02:32:59 -05:00
comfyanonymous
571ea8cdcc
Fix SAG not working with cfg 1.0
2023-12-18 17:03:32 -05:00
comfyanonymous
8cf1daa108
Fix SDXL area composition sometimes not using the right pooled output.
2023-12-18 12:54:23 -05:00
Hari
574363a8a6
Implement Perp-Neg
2023-12-16 00:28:16 +05:30
comfyanonymous
329c571993
Improve code legibility.
2023-12-14 11:41:49 -05:00
comfyanonymous
6c5990f7db
Fix cfg being calculated more than once if sampler_cfg_function.
2023-12-13 20:28:04 -05:00
comfyanonymous
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
Rafie Walker
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
comfyanonymous
97015b6b38
Cleanup.
2023-12-08 16:02:08 -05:00
comfyanonymous
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
comfyanonymous
57eea0efbb
heunpp2 sampler.
2023-11-14 23:50:55 -05:00
comfyanonymous
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
comfyanonymous
dd4ba68b6e
Allow different models to estimate memory usage differently.
2023-11-12 04:03:52 -05:00
comfyanonymous
2c9dba8dc0
sampling_function now has the model object as the argument.
2023-11-12 03:45:10 -05:00
comfyanonymous
8d80584f6a
Remove useless argument from uni_pc sampler.
2023-11-12 01:25:33 -05:00
comfyanonymous
58d5d71a93
Working RescaleCFG node.
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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
comfyanonymous
002aefa382
Support lcm models.
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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
comfyanonymous
ae2acfc21b
Don't convert Nan to zero.
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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
comfyanonymous
d2e27b48f1
sampler_cfg_function now gets the noisy output as argument again.
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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
comfyanonymous
e73ec8c4da
Not used anymore.
2023-11-01 00:01:30 -04:00
comfyanonymous
111f1b5255
Fix some issues with sampling precision.
2023-10-31 23:49:29 -04:00
comfyanonymous
7c0f255de1
Clean up percent start/end and make controlnets work with sigmas.
2023-10-31 22:14:32 -04:00
comfyanonymous
a268a574fa
Remove a bunch of useless code.
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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
comfyanonymous
1777b54d02
Sampling code changes.
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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
comfyanonymous
036f88c621
Refactor to make it easier to add custom conds to models.
2023-10-24 23:31:12 -04:00
comfyanonymous
3fce8881ca
Sampling code refactor to make it easier to add more conds.
2023-10-24 03:38:41 -04:00
comfyanonymous
4185324a1d
Fix uni_pc sampler math. This changes the images this sampler produces.
2023-10-20 04:16:53 -04:00
comfyanonymous
e6962120c6
Make sure cond_concat is on the right device.
2023-10-19 01:14:25 -04:00
comfyanonymous
45c972aba8
Refactor cond_concat into conditioning.
2023-10-18 20:36:58 -04:00
comfyanonymous
782a24fce6
Refactor cond_concat into model object.
2023-10-18 16:48:37 -04:00
comfyanonymous
66756de100
Add SamplerDPMPP_2M_SDE node.
2023-09-28 21:56:23 -04:00
comfyanonymous
d234ca558a
Add missing samplers to KSamplerSelect.
2023-09-28 00:17:03 -04:00
comfyanonymous
1d6dd83184
Scheduler code refactor.
2023-09-26 17:07:07 -04:00
comfyanonymous
446caf711c
Sampling code refactor.
2023-09-26 13:45:15 -04:00
comfyanonymous
492db2de8d
Allow having a different pooled output for each image in a batch.
2023-09-21 01:14:42 -04:00
comfyanonymous
43d4935a1d
Add cond_or_uncond array to transformer_options so hooks can check what is
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cond and what is uncond.
2023-09-15 22:21:14 -04:00
comfyanonymous
415abb275f
Add DDPM sampler.
2023-09-15 19:22:47 -04:00
comfyanonymous
326577d04c
Allow cancelling of everything with a progress bar.
2023-09-07 23:37:03 -04:00
comfyanonymous
f88f7f413a
Add a ConditioningSetAreaPercentage node.
2023-09-06 03:28:27 -04:00
comfyanonymous
1c012d69af
It doesn't make sense for c_crossattn and c_concat to be lists.
2023-08-31 13:25:00 -04:00
comfyanonymous
d6e4b342e6
Support for Control Loras.
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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
comfyanonymous
89a0767abf
Smarter memory management.
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Try to keep models on the vram when possible.
Better lowvram mode for controlnets.
2023-08-17 01:06:34 -04:00
comfyanonymous
0cb6dac943
Remove 3m from PR #1213 because of some small issues.
2023-08-14 00:48:45 -04:00
comfyanonymous
e244b2df83
Add sgm_uniform scheduler that acts like the default one in sgm.
2023-08-14 00:29:03 -04:00
comfyanonymous
58c7da3665
Gpu variant of dpmpp_3m_sde. Note: use 3m with exponential or karras.
2023-08-14 00:28:50 -04:00
FizzleDorf
3cfad03a68
dpmpp 3m + dpmpp 3m sde added
2023-08-13 22:29:04 -04:00
comfyanonymous
cf10c5592c
Disable calculating uncond when CFG is 1.0
2023-08-09 20:55:03 -04:00