036f88c621
Refactor to make it easier to add custom conds to models.
1 year ago
3fce8881ca
Sampling code refactor to make it easier to add more conds.
1 year ago
4185324a1d
Fix uni_pc sampler math. This changes the images this sampler produces.
1 year ago
e6962120c6
Make sure cond_concat is on the right device.
1 year ago
45c972aba8
Refactor cond_concat into conditioning.
1 year ago
782a24fce6
Refactor cond_concat into model object.
1 year ago
66756de100
Add SamplerDPMPP_2M_SDE node.
1 year ago
d234ca558a
Add missing samplers to KSamplerSelect.
1 year ago
1d6dd83184
Scheduler code refactor.
1 year ago
446caf711c
Sampling code refactor.
1 year ago
492db2de8d
Allow having a different pooled output for each image in a batch.
1 year ago
43d4935a1d
Add cond_or_uncond array to transformer_options so hooks can check what is
...
cond and what is uncond.
1 year ago
415abb275f
Add DDPM sampler.
1 year ago
326577d04c
Allow cancelling of everything with a progress bar.
1 year ago
f88f7f413a
Add a ConditioningSetAreaPercentage node.
1 year ago
1c012d69af
It doesn't make sense for c_crossattn and c_concat to be lists.
2 years ago
d6e4b342e6
Support for Control Loras.
...
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.
2 years ago
89a0767abf
Smarter memory management.
...
Try to keep models on the vram when possible.
Better lowvram mode for controlnets.
2 years ago
0cb6dac943
Remove 3m from PR #1213 because of some small issues.
2 years ago
e244b2df83
Add sgm_uniform scheduler that acts like the default one in sgm.
2 years ago
58c7da3665
Gpu variant of dpmpp_3m_sde. Note: use 3m with exponential or karras.
2 years ago
3cfad03a68
dpmpp 3m + dpmpp 3m sde added
2 years ago
cf10c5592c
Disable calculating uncond when CFG is 1.0
2 years ago
1ea4d84691
Fix timestep ranges when batch_size > 1
2 years ago
7ff14b62f8
ControlNetApplyAdvanced can now define when controlnet gets applied.
2 years ago
d191c4f9ed
Add a ControlNetApplyAdvanced node.
...
The controlnet can be applied to the positive or negative prompt only by
connecting it correctly.
2 years ago
0240946ecf
Add a way to set which range of timesteps the cond gets applied to.
2 years ago
67be7eb81d
Nodes can now patch the unet function.
2 years ago
3ded1a3a04
Refactor of sampler code to deal more easily with different model types.
2 years ago
bb5fbd29e9
Merge branch 'condmask-fix' of https://github.com/vmedea/ComfyUI
2 years ago
ddc6f12ad5
Disable autocast in unet for increased speed.
2 years ago
e57cba4c61
Add gpu variations of the sde samplers that are less deterministic
...
but faster.
2 years ago
c61a95f9f7
Fix size check for conditioning mask
...
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.
2 years ago
4eab00e14b
Set the seed in the SDE samplers to make them more reproducible.
2 years ago
8607c2d42d
Move latent scale factor from VAE to model.
2 years ago
f87ec10a97
Support base SDXL and SDXL refiner models.
...
Large refactor of the model detection and loading code.
2 years ago
036a22077c
Fix k_diffusion math being off by a tiny bit during txt2img.
2 years ago
388567f20b
sampler_cfg_function now uses a dict for the argument.
...
This means arguments can be added without issues.
2 years ago
c64ca8c0b2
Refactor unCLIP noise augment out of samplers.py
2 years ago
de142eaad5
Simpler base model code.
2 years ago
069657fbf3
Add DPM-Solver++(2M) SDE and exponential scheduler.
...
exponential scheduler is the one recommended with this sampler.
2 years ago
ef815ba1e2
Switch default scheduler to normal.
2 years ago
f7c0f75d1f
Auto batching improvements.
...
Try batching when cond sizes don't match with smart padding.
2 years ago
314e526c5c
Not needed anymore because sampling works with any latent size.
2 years ago
908dc1d5a8
Add a total_steps value to sampler callback.
2 years ago
d3293c8339
Properly disable all progress bars when disable_pbar=True
2 years ago
a2e18b1504
allow disabling of progress bar when sampling
2 years ago
071011aebe
Mask strength should be separate from area strength.
2 years ago
af02393c2a
Default to sampling entire image
...
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.
2 years ago
e214c917ae
Add Condition by Mask node
...
This PR adds support for a Condition by Mask node. This node allows
conditioning to be limited to a non-rectangle area.
2 years ago
5a971cecdb
Add callback to sampler function.
...
Callback format is: callback(step, x0, x)
2 years ago
7983b3a975
This is cleaner this way.
2 years ago
8d2de420d3
Merge branch 'master' of https://github.com/BlenderNeko/ComfyUI
2 years ago
2a09e2aa27
refactor/split various bits of code for sampling
2 years ago
5282f56434
Implement Linear hypernetworks.
...
Add a HypernetworkLoader node to use hypernetworks.
2 years ago
907010e082
Remove some useless code.
2 years ago
96b57a9ad6
Don't pass adm to model when it doesn't support it.
2 years ago
3696d1699a
Add support for GLIGEN textbox model.
2 years ago
884ea653c8
Add a way for nodes to set a custom CFG function.
2 years ago
73c3e11e83
Fix model_management import so it doesn't get executed twice.
2 years ago
23524ad8c5
Remove print.
2 years ago
f50b1fec69
Add noise augmentation setting to unCLIPConditioning.
2 years ago
809bcc8ceb
Add support for unCLIP SD2.x models.
...
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.
2 years ago
18a6c1db33
Add a TomePatchModel node to the _for_testing section.
...
Tome increases sampling speed at the expense of quality.
2 years ago
61ec3c9d5d
Add a way to pass options to the transformers blocks.
2 years ago
afd65d3819
Fix noise mask not working with > 1 batch size on ksamplers.
2 years ago
0d65cb17b7
Fix ddim_uniform crashing with 37 steps.
2 years ago
7f0fd99b5d
Make ddim work with --cpu
2 years ago
b4b21be707
Fix area composition feathering not working properly.
2 years ago
afff30fc0a
Add --cpu to use the cpu for inference.
2 years ago
69cc75fbf8
Add a way to interrupt current processing in the backend.
2 years ago
75fa162531
Remove sample_ from some sampler names.
...
Old workflows will still work.
2 years ago
af3cc1b5fb
Fixed issue when batched image was used as a controlnet input.
2 years ago
f04dc2c2f4
Implement DDIM sampler.
2 years ago
2976c1ad28
Uni_PC: make max denoise behave more like other samplers.
...
On the KSamplers denoise of 1.0 is the same as txt2img but there was a
small difference on UniPC.
2 years ago
a7328e4945
Add uni_pc bh2 variant.
2 years ago
4efa67fa12
Add ControlNet support.
2 years ago
bc69fb5245
Use inpaint models the proper way by using VAEEncodeForInpaint.
2 years ago
cef2cc3cb0
Support for inpaint models.
2 years ago
07db00355f
Add masks to samplers code for inpainting.
2 years ago
5489d5af04
Add uni_pc sampler to KSampler* nodes.
2 years ago
3fd87cbd21
Slightly smarter batching behaviour.
...
Try to keep batch sizes more consistent which seems to improve things on
AMD GPUs.
2 years ago
bbdcf0b737
Use relative imports for k_diffusion.
2 years ago
853e96ada3
Increase it/s by batching together some stuff sent to unet.
2 years ago
69df7eba94
Add KSamplerAdvanced node.
...
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.
2 years ago
c4b02059d0
Add ConditioningSetArea node.
...
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
2 years ago
220afe3310
Initial commit.
2 years ago
comfyanonymous
FizzleDorf
asagi4
mara
BlenderNeko
Jacob Segal