ComfyUI

Author	SHA1	Message	Date
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
comfyanonymous	5282f56434	Implement Linear hypernetworks. Add a HypernetworkLoader node to use hypernetworks.	2 years ago
comfyanonymous	907010e082	Remove some useless code.	2 years ago
comfyanonymous	96b57a9ad6	Don't pass adm to model when it doesn't support it.	2 years ago
comfyanonymous	3696d1699a	Add support for GLIGEN textbox model.	2 years ago
comfyanonymous	884ea653c8	Add a way for nodes to set a custom CFG function.	2 years ago
comfyanonymous	73c3e11e83	Fix model_management import so it doesn't get executed twice.	2 years ago
comfyanonymous	23524ad8c5	Remove print.	2 years ago
comfyanonymous	f50b1fec69	Add noise augmentation setting to unCLIPConditioning.	2 years ago
comfyanonymous	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
comfyanonymous	18a6c1db33	Add a TomePatchModel node to the _for_testing section. Tome increases sampling speed at the expense of quality.	2 years ago
comfyanonymous	61ec3c9d5d	Add a way to pass options to the transformers blocks.	2 years ago
comfyanonymous	afd65d3819	Fix noise mask not working with > 1 batch size on ksamplers.	2 years ago
comfyanonymous	0d65cb17b7	Fix ddim_uniform crashing with 37 steps.	2 years ago
comfyanonymous	7f0fd99b5d	Make ddim work with --cpu	2 years ago
comfyanonymous	b4b21be707	Fix area composition feathering not working properly.	2 years ago
comfyanonymous	afff30fc0a	Add --cpu to use the cpu for inference.	2 years ago
comfyanonymous	69cc75fbf8	Add a way to interrupt current processing in the backend.	2 years ago
comfyanonymous	75fa162531	Remove sample_ from some sampler names. Old workflows will still work.	2 years ago
comfyanonymous	af3cc1b5fb	Fixed issue when batched image was used as a controlnet input.	2 years ago
comfyanonymous	f04dc2c2f4	Implement DDIM sampler.	2 years ago
comfyanonymous	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

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64 Commits (2b13939044285adbad700690a501b3b3f11e4e4e)