comfyanonymous
b04267ce30
Fix some edge cases with samplers and arrays with a single sigma.
2024-05-01 17:05:30 -04:00
Jedrzej Kosinski
7a37c3088d
Fix error when more cond masks passed in than batch size ( #3353 )
2024-04-26 12:51:12 -04:00
comfyanonymous
c618084a1c
Fix missing arguments in cfg_function.
2024-04-04 23:38:57 -04:00
comfyanonymous
22462103f3
Fix model needing to be loaded on GPU to generate the sigmas.
2024-04-04 22:08:49 -04:00
comfyanonymous
58a02039bc
Make zero denoise a NOP.
2024-04-04 11:41:27 -04:00
comfyanonymous
1f511af362
Small cleanup.
2024-04-04 11:16:49 -04:00
comfyanonymous
bcb4f07071
Refactor sampler code for more advanced sampler nodes part 2.
2024-04-04 01:26:41 -04:00
comfyanonymous
f9e7f0e695
Refactor sampling code for more advanced sampler nodes.
2024-04-03 22:09:51 -04:00
comfyanonymous
1ba93001e4
Refactor calc_cond_uncond_batch into calc_cond_batch.
...
calc_cond_batch can take an arbitrary amount of cond inputs.
Added a calc_cond_uncond_batch wrapper with a warning so custom nodes
won't break.
2024-04-01 18:07:47 -04:00
comfyanonymous
6b490edbab
Add inverse noise scaling function.
2024-03-21 14:49:11 -04:00
comfyanonymous
3905e795dc
SamplerDPMAdaptative node to test the different options.
2024-03-15 22:36:10 -04:00
comfyanonymous
9956e2b6e7
Switch some more prints to logging.
2024-03-11 16:34:58 -04:00
comfyanonymous
03ccdd76a7
Simplify differential diffusion code.
2024-03-03 15:34:42 -05:00
Shiimizu
8363203d85
Implement Differential Diffusion ( #2876 )
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* Implement Differential Diffusion
* Cleanup.
* Fix.
* Masks should be applied at full strength.
* Fix colors.
* Register the node.
* Cleaner code.
* Fix issue with getting unipc sampler.
* Adjust thresholds.
* Switch to linear thresholds.
* Only calculate nearest_idx on valid thresholds.
2024-03-03 15:34:13 -05:00
comfyanonymous
bd39d6bfd6
Cleanup: Use sampling noise scaling function for inpainting.
2024-03-01 14:24:41 -05:00
comfyanonymous
5af225ffd9
Move noise scaling to object with sampling math.
2024-03-01 12:54:38 -05:00
comfyanonymous
0bd8fc1e4d
Playground V2.5 support with ModelSamplingContinuousEDM node.
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Use ModelSamplingContinuousEDM with edm_playground_v2.5 selected.
2024-02-27 15:12:33 -05:00
logtd
5dfd39f190
Fix model and cond transformer options merge
2024-02-23 01:19:43 -07:00
comfyanonymous
8d2b46bfbe
Cleanup uni_pc inpainting.
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This causes some small changes to the uni pc inpainting behavior but it
seems to improve results slightly.
2024-02-23 02:39:35 -05:00
comfyanonymous
92f7466c12
Merge branch 'feature_expose_discard_penultimate_sigma' of https://github.com/blepping/ComfyUI
2024-02-11 12:23:30 -05:00
Jedrzej Kosinski
3172bb042e
Fix infinite while loop being possible in ddim_scheduler
2024-02-09 17:11:34 -06:00
blepping
5b3c8f3506
Allow custom samplers to request discard penultimate sigma
2024-02-08 02:24:23 -07:00
comfyanonymous
50fb52bc5b
Remove some unused imports.
2024-01-25 23:42:37 -05:00
Dr.Lt.Data
f91644b5e9
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
a36114ce30
Implement noise augmentation for SD 4X upscale model.
2024-01-03 14:27:11 -05:00
comfyanonymous
066f11873e
Fix regression with inpaint model.
2023-12-19 02:32:59 -05:00
comfyanonymous
bf90151704
Fix SAG not working with cfg 1.0
2023-12-18 17:03:32 -05:00
comfyanonymous
183307e3de
Fix SDXL area composition sometimes not using the right pooled output.
2023-12-18 12:54:23 -05:00
Hari
72500f183b
Implement Perp-Neg
2023-12-16 00:28:16 +05:30
comfyanonymous
743e80a273
Improve code legibility.
2023-12-14 11:41:49 -05:00
comfyanonymous
85cbdd661b
Fix cfg being calculated more than once if sampler_cfg_function.
2023-12-13 20:28:04 -05:00
comfyanonymous
b83523b241
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
58df1767b4
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
f54c2bf6fb
Cleanup.
2023-12-08 16:02:08 -05:00
comfyanonymous
5514c4b8ce
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
comfyanonymous
e5eeb33ac4
heunpp2 sampler.
2023-11-14 23:50:55 -05:00
comfyanonymous
702395d4ad
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
comfyanonymous
21ea9c3263
Allow different models to estimate memory usage differently.
2023-11-12 04:03:52 -05:00
comfyanonymous
56fac7fde1
sampling_function now has the model object as the argument.
2023-11-12 03:45:10 -05:00
comfyanonymous
d4b8742089
Remove useless argument from uni_pc sampler.
2023-11-12 01:25:33 -05:00
comfyanonymous
5b4cacf352
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
43dcfcd754
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
f019f896c6
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
f10036cbf7
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
comfyanonymous
ff096742bd
Not used anymore.
2023-11-01 00:01:30 -04:00
comfyanonymous
be85c3408b
Fix some issues with sampling precision.
2023-10-31 23:49:29 -04:00
comfyanonymous
169b76657b
Clean up percent start/end and make controlnets work with sigmas.
2023-10-31 22:14:32 -04:00
comfyanonymous
11e03afad6
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
comfyanonymous
ab0cfba6d1
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
comfyanonymous
141c4ffcba
Refactor to make it easier to add custom conds to models.
2023-10-24 23:31:12 -04:00