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
comfyanonymous
FizzleDorf
asagi4
mara
BlenderNeko
Jacob Segal