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
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
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
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
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
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.
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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
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
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
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
782a24fce6
Refactor cond_concat into model object.
2023-10-18 16:48:37 -04:00
66756de100
Add SamplerDPMPP_2M_SDE node.
2023-09-28 21:56:23 -04:00
d234ca558a
Add missing samplers to KSamplerSelect.
2023-09-28 00:17:03 -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
492db2de8d
Allow having a different pooled output for each image in a batch.
2023-09-21 01:14:42 -04:00
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
415abb275f
Add DDPM sampler.
2023-09-15 19:22:47 -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
1c012d69af
It doesn't make sense for c_crossattn and c_concat to be lists.
2023-08-31 13:25:00 -04:00
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
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
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
3cfad03a68
dpmpp 3m + dpmpp 3m sde added
2023-08-13 22:29:04 -04:00
cf10c5592c
Disable calculating uncond when CFG is 1.0
2023-08-09 20:55:03 -04:00
1ea4d84691
Fix timestep ranges when batch_size > 1
2023-07-27 21:14:09 +03:00
7ff14b62f8
ControlNetApplyAdvanced can now define when controlnet gets applied.
2023-07-24 17:50:49 -04:00
d191c4f9ed
Add a ControlNetApplyAdvanced node.
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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
67be7eb81d
Nodes can now patch the unet function.
2023-07-22 17:01:12 -04:00
3ded1a3a04
Refactor of sampler code to deal more easily with different model types.
2023-07-17 01:22:12 -04:00
bb5fbd29e9
Merge branch 'condmask-fix' of https://github.com/vmedea/ComfyUI
2023-07-07 01:52:25 -04:00
ddc6f12ad5
Disable autocast in unet for increased speed.
2023-07-05 21:58:29 -04:00
e57cba4c61
Add gpu variations of the sde samplers that are less deterministic
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but faster.
2023-07-05 01:39:38 -04:00
c61a95f9f7
Fix size check for conditioning mask
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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
4eab00e14b
Set the seed in the SDE samplers to make them more reproducible.
2023-06-25 03:04:57 -04:00
8607c2d42d
Move latent scale factor from VAE to model.
2023-06-23 02:33:31 -04:00
f87ec10a97
Support base SDXL and SDXL refiner models.
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Large refactor of the model detection and loading code.
2023-06-22 13:03:50 -04:00
036a22077c
Fix k_diffusion math being off by a tiny bit during txt2img.
2023-06-19 15:28:54 -04:00
388567f20b
sampler_cfg_function now uses a dict for the argument.
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This means arguments can be added without issues.
2023-06-13 16:10:36 -04:00
comfyanonymous
FizzleDorf
asagi4
mara