ComfyUI

Author	SHA1	Message	Date
comfyanonymous	4185324a1d	Fix uni_pc sampler math. This changes the images this sampler produces.	1 year ago
comfyanonymous	e6962120c6	Make sure cond_concat is on the right device.	1 year ago
comfyanonymous	45c972aba8	Refactor cond_concat into conditioning.	1 year ago
comfyanonymous	782a24fce6	Refactor cond_concat into model object.	1 year ago
comfyanonymous	66756de100	Add SamplerDPMPP_2M_SDE node.	1 year ago
comfyanonymous	d234ca558a	Add missing samplers to KSamplerSelect.	1 year ago
comfyanonymous	1d6dd83184	Scheduler code refactor.	1 year ago
comfyanonymous	446caf711c	Sampling code refactor.	1 year ago
comfyanonymous	492db2de8d	Allow having a different pooled output for each image in a batch.	1 year ago
comfyanonymous	43d4935a1d	Add cond_or_uncond array to transformer_options so hooks can check what is cond and what is uncond.	1 year ago
comfyanonymous	415abb275f	Add DDPM sampler.	1 year ago
comfyanonymous	326577d04c	Allow cancelling of everything with a progress bar.	1 year ago
comfyanonymous	f88f7f413a	Add a ConditioningSetAreaPercentage node.	1 year ago
comfyanonymous	1c012d69af	It doesn't make sense for c_crossattn and c_concat to be lists.	1 year ago
comfyanonymous	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.	1 year ago
comfyanonymous	89a0767abf	Smarter memory management. Try to keep models on the vram when possible. Better lowvram mode for controlnets.	1 year ago
comfyanonymous	0cb6dac943	Remove 3m from PR #1213 because of some small issues.	1 year ago
comfyanonymous	e244b2df83	Add sgm_uniform scheduler that acts like the default one in sgm.	1 year ago
comfyanonymous	58c7da3665	Gpu variant of dpmpp_3m_sde. Note: use 3m with exponential or karras.	1 year ago
FizzleDorf	3cfad03a68	dpmpp 3m + dpmpp 3m sde added	1 year ago
comfyanonymous	cf10c5592c	Disable calculating uncond when CFG is 1.0	1 year ago
asagi4	1ea4d84691	Fix timestep ranges when batch_size > 1	1 year ago
comfyanonymous	7ff14b62f8	ControlNetApplyAdvanced can now define when controlnet gets applied.	1 year ago
comfyanonymous	d191c4f9ed	Add a ControlNetApplyAdvanced node. The controlnet can be applied to the positive or negative prompt only by connecting it correctly.	1 year ago
comfyanonymous	0240946ecf	Add a way to set which range of timesteps the cond gets applied to.	1 year ago
comfyanonymous	67be7eb81d	Nodes can now patch the unet function.	1 year ago
comfyanonymous	3ded1a3a04	Refactor of sampler code to deal more easily with different model types.	1 year ago
comfyanonymous	ddc6f12ad5	Disable autocast in unet for increased speed.	1 year ago
comfyanonymous	e57cba4c61	Add gpu variations of the sde samplers that are less deterministic but faster.	1 year ago
mara	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.	1 year ago
comfyanonymous	4eab00e14b	Set the seed in the SDE samplers to make them more reproducible.	1 year ago
comfyanonymous	8607c2d42d	Move latent scale factor from VAE to model.	1 year ago
comfyanonymous	f87ec10a97	Support base SDXL and SDXL refiner models. Large refactor of the model detection and loading code.	1 year ago
comfyanonymous	036a22077c	Fix k_diffusion math being off by a tiny bit during txt2img.	1 year ago
comfyanonymous	388567f20b	sampler_cfg_function now uses a dict for the argument. This means arguments can be added without issues.	1 year ago
comfyanonymous	c64ca8c0b2	Refactor unCLIP noise augment out of samplers.py	1 year ago
comfyanonymous	de142eaad5	Simpler base model code.	1 year ago
comfyanonymous	069657fbf3	Add DPM-Solver++(2M) SDE and exponential scheduler. exponential scheduler is the one recommended with this sampler.	2 years ago
comfyanonymous	ef815ba1e2	Switch default scheduler to normal.	2 years ago
comfyanonymous	f7c0f75d1f	Auto batching improvements. Try batching when cond sizes don't match with smart padding.	2 years ago
comfyanonymous	314e526c5c	Not needed anymore because sampling works with any latent size.	2 years ago
comfyanonymous	908dc1d5a8	Add a total_steps value to sampler callback.	2 years ago
comfyanonymous	d3293c8339	Properly disable all progress bars when disable_pbar=True	2 years ago
BlenderNeko	a2e18b1504	allow disabling of progress bar when sampling	2 years ago
comfyanonymous	071011aebe	Mask strength should be separate from area strength.	2 years ago
Jacob Segal	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
Jacob Segal	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
comfyanonymous	5a971cecdb	Add callback to sampler function. Callback format is: callback(step, x0, x)	2 years ago
comfyanonymous	7983b3a975	This is cleaner this way.	2 years ago
BlenderNeko	2a09e2aa27	refactor/split various bits of code for sampling	2 years ago

1 2 3

136 Commits (master)