4eab00e14b
Set the seed in the SDE samplers to make them more reproducible.
2023-06-25 03:04:57 -04:00
cef6aa62b2
Add support for TAESD decoder for SDXL.
2023-06-25 02:38:14 -04:00
20f579d91d
Add DualClipLoader to load clip models for SDXL.
...
Update LoadClip to load clip models for SDXL refiner.
2023-06-25 01:40:38 -04:00
b7933960bb
Fix CLIPLoader node.
2023-06-24 13:56:46 -04:00
78d8035f73
Fix bug with controlnet.
2023-06-24 11:02:38 -04:00
05676942b7
Add some more transformer hooks and move tomesd to comfy_extras.
...
Tomesd now uses q instead of x to decide which tokens to merge because
it seems to give better results.
2023-06-24 03:30:22 -04:00
fa28d7334b
Remove useless code.
2023-06-23 12:35:26 -04:00
8607c2d42d
Move latent scale factor from VAE to model.
2023-06-23 02:33:31 -04:00
30a3861946
Fix bug when yaml config has no clip params.
2023-06-23 01:12:59 -04:00
9e37f4c7d5
Fix error with ClipVision loader node.
2023-06-23 01:08:05 -04:00
9f83b098c9
Don't merge weights when shapes don't match and print a warning.
2023-06-22 19:08:31 -04:00
f87ec10a97
Support base SDXL and SDXL refiner models.
...
Large refactor of the model detection and loading code.
2023-06-22 13:03:50 -04:00
9fccf4aa03
Add original_shape parameter to transformer patch extra_options.
2023-06-21 13:22:01 -04:00
51581dbfa9
Fix last commits causing an issue with the text encoder lora.
2023-06-20 19:44:39 -04:00
8125b51a62
Keep a set of model_keys for faster add_patches.
2023-06-20 19:08:48 -04:00
45beebd33c
Add a type of model patch useful for model merging.
2023-06-20 17:34:11 -04:00
036a22077c
Fix k_diffusion math being off by a tiny bit during txt2img.
2023-06-19 15:28:54 -04:00
8883cb0f67
Add a way to set patches that modify the attn2 output.
...
Change the transformer patches function format to be more future proof.
2023-06-18 22:58:22 -04:00
cd930d4e7f
pop clip vision keys after loading them.
2023-06-18 21:21:17 -04:00
c9e4a8c9e5
Not needed anymore.
2023-06-18 13:06:59 -04:00
fb4bf7f591
This is not needed anymore and causes issues with alphas_cumprod.
2023-06-18 03:18:25 -04:00
45be2e92c1
Fix DDIM v-prediction.
2023-06-17 20:48:21 -04:00
e6e50ab2dd
Fix an issue when alphas_comprod are half floats.
2023-06-16 17:16:51 -04:00
ae43f09ef7
All the unet weights should now be initialized with the right dtype.
2023-06-15 18:42:30 -04:00
f7edcfd927
Add a --gpu-only argument to keep and run everything on the GPU.
...
Make the CLIP model work on the GPU.
2023-06-15 15:38:52 -04:00
7bf89ba923
Initialize more unet weights as the right dtype.
2023-06-15 15:00:10 -04:00
e21d9ad445
Initialize transformer unet block weights in right dtype at the start.
2023-06-15 14:29:26 -04:00
bb1f45d6e8
Properly disable weight initialization in clip models.
2023-06-14 20:13:08 -04:00
21f04fe632
Disable default weight values in unet conv2d for faster loading.
2023-06-14 19:46:08 -04:00
9d54066ebc
This isn't needed for inference.
2023-06-14 13:05:08 -04:00
fa2cca056c
Don't initialize CLIPVision weights to default values.
2023-06-14 12:57:02 -04:00
6b774589a5
Set model to fp16 before loading the state dict to lower ram bump.
2023-06-14 12:48:02 -04:00
0c7cad404c
Don't initialize clip weights to default values.
2023-06-14 12:47:36 -04:00
6971646b8b
Speed up model loading a bit.
...
Default pytorch Linear initializes the weights which is useless and slow.
2023-06-14 12:09:41 -04:00
388567f20b
sampler_cfg_function now uses a dict for the argument.
...
This means arguments can be added without issues.
2023-06-13 16:10:36 -04:00
ff9b22d79e
Turn on safe load for a few models.
2023-06-13 10:12:03 -04:00
735ac4cf81
Remove pytorch_lightning dependency.
2023-06-13 10:11:33 -04:00
2b14041d4b
Remove useless code.
2023-06-13 02:40:58 -04:00
274dff3257
Remove more useless files.
2023-06-13 02:22:19 -04:00
f0a2b81cd0
Cleanup: Remove a bunch of useless files.
2023-06-13 02:19:08 -04:00
f8c5931053
Split the batch in VAEEncode if there's not enough memory.
2023-06-12 00:21:50 -04:00
c069fc0730
Auto switch to tiled VAE encode if regular one runs out of memory.
2023-06-11 23:25:39 -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
23cf8ca7c5
Fix bug when embedding gets ignored because of mismatched size.
2023-06-08 23:48:14 -04:00
0e425603fb
Small refactor.
2023-06-06 13:23:01 -04:00
a3a713b6c5
Refactor previews into one command line argument.
...
Clean up a few things.
2023-06-06 02:13:05 -04:00
3e17971acb
preview method autodetection
2023-06-05 18:59:10 -05:00
d5a28fadaa
Add latent2rgb preview
2023-06-05 18:39:56 -05:00
48f7ec750c
Make previews into cli option
2023-06-05 13:19:02 -05:00
b4f434ee66
Preview sampled images with TAESD
2023-06-05 09:20:17 -05:00
fed0a4dd29
Some comments to say what the vram state options mean.
2023-06-04 17:51:04 -04:00
0a5fefd621
Cleanups and fixes for model_management.py
...
Hopefully fix regression on MPS and CPU.
2023-06-03 11:05:37 -04:00
700491d81a
Implement global average pooling for controlnet.
2023-06-03 01:49:03 -04:00
67892b5ac5
Refactor and improve model_management code related to free memory.
2023-06-02 15:21:33 -04:00
499641ebf1
More accurate total
2023-06-02 00:14:41 -05:00
b5dd15c67a
System stats endpoint
2023-06-01 23:26:23 -05:00
5c38958e49
Tweak lowvram model memory so it's closer to what it was before.
2023-06-01 04:04:35 -04:00
94680732d3
Empty cache on mps.
2023-06-01 03:52:51 -04:00
03da8a3426
This is useless for inference.
2023-05-31 13:03:24 -04:00
eb448dd8e1
Auto load model in lowvram if not enough memory.
2023-05-30 12:36:41 -04:00
b9818eb910
Add route to get safetensors metadata:
...
/view_metadata/loras?filename=lora.safetensors
2023-05-29 02:48:50 -04:00
a532888846
Support VAEs in diffusers format.
2023-05-28 02:02:09 -04:00
0fc483dcfd
Refactor diffusers model convert code to be able to reuse it.
2023-05-28 01:55:40 -04:00
eb4bd7711a
Remove einops.
2023-05-25 18:42:56 -04:00
87ab25fac7
Do operations in same order as the one it replaces.
2023-05-25 18:31:27 -04:00
2b1fac9708
Merge branch 'master' of https://github.com/BlenderNeko/ComfyUI
2023-05-25 14:44:16 -04:00
e1278fa925
Support old pytorch versions that don't have weights_only.
2023-05-25 13:30:59 -04:00
8b4b0c3188
vecorized bislerp
2023-05-25 19:23:47 +02:00
b8ccbec6d8
Various improvements to bislerp.
2023-05-23 11:40:24 -04:00
34887b8885
Add experimental bislerp algorithm for latent upscaling.
...
It's like bilinear but with slerp.
2023-05-23 03:12:56 -04:00
6cc450579b
Auto transpose images from exif data.
2023-05-22 00:22:24 -04:00
dc198650c0
sample_dpmpp_2m_sde no longer crashes when step == 1.
2023-05-21 11:34:29 -04:00
069657fbf3
Add DPM-Solver++(2M) SDE and exponential scheduler.
...
exponential scheduler is the one recommended with this sampler.
2023-05-21 01:46:03 -04:00
b8636a44aa
Make scaled_dot_product switch to sliced attention on OOM.
2023-05-20 16:01:02 -04:00
797c4e8d3b
Simplify and improve some vae attention code.
2023-05-20 15:07:21 -04:00
ef815ba1e2
Switch default scheduler to normal.
2023-05-15 00:29:56 -04:00
68d12b530e
Merge branch 'tiled_sampler' of https://github.com/BlenderNeko/ComfyUI
2023-05-14 15:39:39 -04:00
3a1f47764d
Print the torch device that is used on startup.
2023-05-13 17:11:27 -04:00
1201d2eae5
Make nodes map over input lists ( #579 )
...
* allow nodes to map over lists
* make work with IS_CHANGED and VALIDATE_INPUTS
* give list outputs distinct socket shape
* add rebatch node
* add batch index logic
* add repeat latent batch
* deal with noise mask edge cases in latentfrombatch
2023-05-13 11:15:45 -04:00
19c014f429
comment out annoying print statement
2023-05-12 23:57:40 +02:00
d9e088ddfd
minor changes for tiled sampler
2023-05-12 23:49:09 +02:00
f7c0f75d1f
Auto batching improvements.
...
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
c6e34963e4
Make t2i adapter work with any latent resolution.
2023-05-08 18:15:19 -04:00
a1f12e370d
Merge branch 'autostart' of https://github.com/EllangoK/ComfyUI
2023-05-07 17:19:03 -04:00
6fc4917634
Make maximum_batch_area take into account python2.0 attention function.
...
More conservative xformers maximum_batch_area.
2023-05-06 19:58:54 -04:00
678f933d38
maximum_batch_area for xformers.
...
Remove useless code.
2023-05-06 19:28:46 -04:00
8e03c789a2
auto-launch cli arg
2023-05-06 16:59:40 -04:00
cb1551b819
Lowvram mode for gligen and fix some lowvram issues.
2023-05-05 18:11:41 -04:00
af9cc1fb6a
Search recursively in subfolders for embeddings.
2023-05-05 01:28:48 -04:00
6ee11d7bc0
Fix import.
2023-05-05 00:19:35 -04:00
bae4fb4a9d
Fix imports.
2023-05-04 18:10:29 -04:00
fcf513e0b6
Refactor.
2023-05-03 17:48:35 -04:00
a74e176a24
Merge branch 'tiled-progress' of https://github.com/pythongosssss/ComfyUI
2023-05-03 16:24:56 -04:00
5eeecf3fd5
remove unused import
2023-05-03 18:21:23 +01:00
8912623ea9
use comfy progress bar
2023-05-03 18:19:22 +01:00
908dc1d5a8
Add a total_steps value to sampler callback.
2023-05-03 12:58:10 -04:00
fdf57325f4
Merge remote-tracking branch 'origin/master' into tiled-progress
2023-05-03 17:33:42 +01:00
27df74101e
reduce duplication
2023-05-03 17:33:19 +01:00
comfyanonymous
space-nuko
BlenderNeko
EllangoK
pythongosssss