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
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
069657fbf3
Add DPM-Solver++(2M) SDE and exponential scheduler.
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exponential scheduler is the one recommended with this sampler.
2023-05-21 01:46:03 -04:00
ef815ba1e2
Switch default scheduler to normal.
2023-05-15 00:29:56 -04:00
f7c0f75d1f
Auto batching improvements.
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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
908dc1d5a8
Add a total_steps value to sampler callback.
2023-05-03 12:58:10 -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
af02393c2a
Default to sampling entire image
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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
e214c917ae
Add Condition by Mask node
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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.
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Callback format is: callback(step, x0, x)
2023-04-27 04:38:44 -04:00
7983b3a975
This is cleaner this way.
2023-04-24 22:45:35 -04:00
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.
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Add a HypernetworkLoader node to use hypernetworks.
2023-04-23 12:35:25 -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
23524ad8c5
Remove print.
2023-04-03 22:58:54 -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.
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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
18a6c1db33
Add a TomePatchModel node to the _for_testing section.
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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
0d65cb17b7
Fix ddim_uniform crashing with 37 steps.
2023-03-28 16:29:35 -04:00
7f0fd99b5d
Make ddim work with --cpu
2023-03-24 11:39:51 -04:00
b4b21be707
Fix area composition feathering not working properly.
2023-03-19 02:00:52 -04:00
afff30fc0a
Add --cpu to use the cpu for inference.
2023-03-06 10:50:50 -05:00
69cc75fbf8
Add a way to interrupt current processing in the backend.
2023-03-02 14:42:03 -05:00
75fa162531
Remove sample_ from some sampler names.
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Old workflows will still work.
2023-02-27 01:43:06 -05:00
af3cc1b5fb
Fixed issue when batched image was used as a controlnet input.
2023-02-25 14:57:28 -05:00
f04dc2c2f4
Implement DDIM sampler.
2023-02-22 21:10:19 -05:00
2976c1ad28
Uni_PC: make max denoise behave more like other samplers.
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On the KSamplers denoise of 1.0 is the same as txt2img but there was a
small difference on UniPC.
2023-02-22 02:21:06 -05:00
a7328e4945
Add uni_pc bh2 variant.
2023-02-21 16:11:48 -05:00
4efa67fa12
Add ControlNet support.
2023-02-16 10:38:08 -05:00
bc69fb5245
Use inpaint models the proper way by using VAEEncodeForInpaint.
2023-02-15 20:44:51 -05:00
cef2cc3cb0
Support for inpaint models.
2023-02-15 16:38:20 -05:00
07db00355f
Add masks to samplers code for inpainting.
2023-02-15 13:16:38 -05:00
5489d5af04
Add uni_pc sampler to KSampler* nodes.
2023-02-11 03:34:09 -05:00
3fd87cbd21
Slightly smarter batching behaviour.
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Try to keep batch sizes more consistent which seems to improve things on
AMD GPUs.
2023-02-08 17:28:43 -05:00
bbdcf0b737
Use relative imports for k_diffusion.
2023-02-08 16:51:19 -05:00
853e96ada3
Increase it/s by batching together some stuff sent to unet.
2023-02-08 14:24:00 -05:00
69df7eba94
Add KSamplerAdvanced node.
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This node exposes more sampling options and makes it possible for example
to sample the first few steps on the latent image, do some operations on it
and then do the rest of the sampling steps. This can be achieved using the
start_at_step and end_at_step options.
2023-01-31 03:09:38 -05:00
c4b02059d0
Add ConditioningSetArea node.
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to apply conditioning/prompts only to a specific area of the image.
Add ConditioningCombine node.
so that multiple conditioning/prompts can be applied to the image at the
same time
2023-01-26 12:06:48 -05:00
220afe3310
Initial commit.
2023-01-16 22:37:14 -05:00
comfyanonymous
FizzleDorf
asagi4
mara
BlenderNeko
Jacob Segal