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323 Commits

Author SHA1 Message Date
comfyanonymous
c9e4a8c9e5 Not needed anymore. 2023-06-18 13:06:59 -04:00
comfyanonymous
fb4bf7f591 This is not needed anymore and causes issues with alphas_cumprod. 2023-06-18 03:18:25 -04:00
comfyanonymous
45be2e92c1 Fix DDIM v-prediction. 2023-06-17 20:48:21 -04:00
comfyanonymous
e6e50ab2dd Fix an issue when alphas_comprod are half floats. 2023-06-16 17:16:51 -04:00
comfyanonymous
ae43f09ef7 All the unet weights should now be initialized with the right dtype. 2023-06-15 18:42:30 -04:00
comfyanonymous
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
comfyanonymous
7bf89ba923 Initialize more unet weights as the right dtype. 2023-06-15 15:00:10 -04:00
comfyanonymous
e21d9ad445 Initialize transformer unet block weights in right dtype at the start. 2023-06-15 14:29:26 -04:00
comfyanonymous
bb1f45d6e8 Properly disable weight initialization in clip models. 2023-06-14 20:13:08 -04:00
comfyanonymous
21f04fe632 Disable default weight values in unet conv2d for faster loading. 2023-06-14 19:46:08 -04:00
comfyanonymous
9d54066ebc This isn't needed for inference. 2023-06-14 13:05:08 -04:00
comfyanonymous
fa2cca056c Don't initialize CLIPVision weights to default values. 2023-06-14 12:57:02 -04:00
comfyanonymous
6b774589a5 Set model to fp16 before loading the state dict to lower ram bump. 2023-06-14 12:48:02 -04:00
comfyanonymous
0c7cad404c Don't initialize clip weights to default values. 2023-06-14 12:47:36 -04:00
comfyanonymous
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
comfyanonymous
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
comfyanonymous
ff9b22d79e Turn on safe load for a few models. 2023-06-13 10:12:03 -04:00
comfyanonymous
735ac4cf81 Remove pytorch_lightning dependency. 2023-06-13 10:11:33 -04:00
comfyanonymous
2b14041d4b Remove useless code. 2023-06-13 02:40:58 -04:00
comfyanonymous
274dff3257 Remove more useless files. 2023-06-13 02:22:19 -04:00
comfyanonymous
f0a2b81cd0 Cleanup: Remove a bunch of useless files. 2023-06-13 02:19:08 -04:00
comfyanonymous
f8c5931053 Split the batch in VAEEncode if there's not enough memory. 2023-06-12 00:21:50 -04:00
comfyanonymous
c069fc0730 Auto switch to tiled VAE encode if regular one runs out of memory. 2023-06-11 23:25:39 -04:00
comfyanonymous
c64ca8c0b2 Refactor unCLIP noise augment out of samplers.py 2023-06-11 04:01:18 -04:00
comfyanonymous
de142eaad5 Simpler base model code. 2023-06-09 12:31:16 -04:00
comfyanonymous
23cf8ca7c5 Fix bug when embedding gets ignored because of mismatched size. 2023-06-08 23:48:14 -04:00
comfyanonymous
0e425603fb Small refactor. 2023-06-06 13:23:01 -04:00
comfyanonymous
a3a713b6c5 Refactor previews into one command line argument. 
Clean up a few things.
 2023-06-06 02:13:05 -04:00
space-nuko
3e17971acb preview method autodetection 2023-06-05 18:59:10 -05:00
space-nuko
d5a28fadaa Add latent2rgb preview 2023-06-05 18:39:56 -05:00
space-nuko
48f7ec750c Make previews into cli option 2023-06-05 13:19:02 -05:00
space-nuko
b4f434ee66 Preview sampled images with TAESD 2023-06-05 09:20:17 -05:00
comfyanonymous
fed0a4dd29 Some comments to say what the vram state options mean. 2023-06-04 17:51:04 -04:00
comfyanonymous
0a5fefd621 Cleanups and fixes for model_management.py 
Hopefully fix regression on MPS and CPU.
 2023-06-03 11:05:37 -04:00
comfyanonymous
700491d81a Implement global average pooling for controlnet. 2023-06-03 01:49:03 -04:00
comfyanonymous
67892b5ac5 Refactor and improve model_management code related to free memory. 2023-06-02 15:21:33 -04:00
space-nuko
499641ebf1 More accurate total 2023-06-02 00:14:41 -05:00
space-nuko
b5dd15c67a System stats endpoint 2023-06-01 23:26:23 -05:00
comfyanonymous
5c38958e49 Tweak lowvram model memory so it's closer to what it was before. 2023-06-01 04:04:35 -04:00
comfyanonymous
94680732d3 Empty cache on mps. 2023-06-01 03:52:51 -04:00
comfyanonymous
03da8a3426 This is useless for inference. 2023-05-31 13:03:24 -04:00
comfyanonymous
eb448dd8e1 Auto load model in lowvram if not enough memory. 2023-05-30 12:36:41 -04:00
comfyanonymous
b9818eb910 Add route to get safetensors metadata: 
/view_metadata/loras?filename=lora.safetensors
 2023-05-29 02:48:50 -04:00
comfyanonymous
a532888846 Support VAEs in diffusers format. 2023-05-28 02:02:09 -04:00
comfyanonymous
0fc483dcfd Refactor diffusers model convert code to be able to reuse it. 2023-05-28 01:55:40 -04:00
comfyanonymous
eb4bd7711a Remove einops. 2023-05-25 18:42:56 -04:00
comfyanonymous
87ab25fac7 Do operations in same order as the one it replaces. 2023-05-25 18:31:27 -04:00
comfyanonymous
2b1fac9708 Merge branch 'master' of https://github.com/BlenderNeko/ComfyUI 2023-05-25 14:44:16 -04:00
comfyanonymous
e1278fa925 Support old pytorch versions that don't have weights_only. 2023-05-25 13:30:59 -04:00
BlenderNeko
8b4b0c3188 vecorized bislerp 2023-05-25 19:23:47 +02:00
comfyanonymous
b8ccbec6d8 Various improvements to bislerp. 2023-05-23 11:40:24 -04:00
comfyanonymous
34887b8885 Add experimental bislerp algorithm for latent upscaling. 
It's like bilinear but with slerp.
 2023-05-23 03:12:56 -04:00
comfyanonymous
6cc450579b Auto transpose images from exif data. 2023-05-22 00:22:24 -04:00
comfyanonymous
dc198650c0 sample_dpmpp_2m_sde no longer crashes when step == 1. 2023-05-21 11:34:29 -04:00
comfyanonymous
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
comfyanonymous
b8636a44aa Make scaled_dot_product switch to sliced attention on OOM. 2023-05-20 16:01:02 -04:00
comfyanonymous
797c4e8d3b Simplify and improve some vae attention code. 2023-05-20 15:07:21 -04:00
comfyanonymous
ef815ba1e2 Switch default scheduler to normal. 2023-05-15 00:29:56 -04:00
comfyanonymous
68d12b530e Merge branch 'tiled_sampler' of https://github.com/BlenderNeko/ComfyUI 2023-05-14 15:39:39 -04:00
comfyanonymous
3a1f47764d Print the torch device that is used on startup. 2023-05-13 17:11:27 -04:00
BlenderNeko
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
BlenderNeko
19c014f429 comment out annoying print statement 2023-05-12 23:57:40 +02:00
BlenderNeko
d9e088ddfd minor changes for tiled sampler 2023-05-12 23:49:09 +02:00
comfyanonymous
f7c0f75d1f Auto batching improvements. 
Try batching when cond sizes don't match with smart padding.
 2023-05-10 13:59:24 -04:00
comfyanonymous
314e526c5c Not needed anymore because sampling works with any latent size. 2023-05-09 12:18:18 -04:00
comfyanonymous
c6e34963e4 Make t2i adapter work with any latent resolution. 2023-05-08 18:15:19 -04:00
comfyanonymous
a1f12e370d Merge branch 'autostart' of https://github.com/EllangoK/ComfyUI 2023-05-07 17:19:03 -04:00
comfyanonymous
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
comfyanonymous
678f933d38 maximum_batch_area for xformers. 
Remove useless code.
 2023-05-06 19:28:46 -04:00
EllangoK
8e03c789a2 auto-launch cli arg 2023-05-06 16:59:40 -04:00
comfyanonymous
cb1551b819 Lowvram mode for gligen and fix some lowvram issues. 2023-05-05 18:11:41 -04:00
comfyanonymous
af9cc1fb6a Search recursively in subfolders for embeddings. 2023-05-05 01:28:48 -04:00
comfyanonymous
6ee11d7bc0 Fix import. 2023-05-05 00:19:35 -04:00
comfyanonymous
bae4fb4a9d Fix imports. 2023-05-04 18:10:29 -04:00
comfyanonymous
fcf513e0b6 Refactor. 2023-05-03 17:48:35 -04:00
comfyanonymous
a74e176a24 Merge branch 'tiled-progress' of https://github.com/pythongosssss/ComfyUI 2023-05-03 16:24:56 -04:00
pythongosssss
5eeecf3fd5 remove unused import 2023-05-03 18:21:23 +01:00
pythongosssss
8912623ea9 use comfy progress bar 2023-05-03 18:19:22 +01:00
comfyanonymous
908dc1d5a8 Add a total_steps value to sampler callback. 2023-05-03 12:58:10 -04:00
pythongosssss
fdf57325f4 Merge remote-tracking branch 'origin/master' into tiled-progress 2023-05-03 17:33:42 +01:00
pythongosssss
27df74101e reduce duplication 2023-05-03 17:33:19 +01:00
comfyanonymous
93c64afaa9 Use sampler callback instead of tqdm hook for progress bar. 2023-05-02 23:00:49 -04:00
pythongosssss
06ad35b493 added progress to encode + upscale 2023-05-02 19:18:07 +01:00
comfyanonymous
ba8a4c3667 Change latent resolution step to 8. 2023-05-02 14:17:51 -04:00
comfyanonymous
66c8aa5c3e Make unet work with any input shape. 2023-05-02 13:31:43 -04:00
comfyanonymous
9c335a553f LoKR support. 2023-05-01 18:18:23 -04:00
comfyanonymous
d3293c8339 Properly disable all progress bars when disable_pbar=True 2023-05-01 15:52:17 -04:00
BlenderNeko
a2e18b1504 allow disabling of progress bar when sampling 2023-04-30 18:59:58 +02:00
comfyanonymous
071011aebe Mask strength should be separate from area strength. 2023-04-29 20:06:53 -04:00
comfyanonymous
870fae62e7 Merge branch 'condition_by_mask_node' of https://github.com/guill/ComfyUI 2023-04-29 15:05:18 -04:00
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.
 2023-04-29 00:16:58 -07:00
comfyanonymous
056e5545ff Don't try to get vram from xpu or cuda when directml is enabled. 2023-04-29 00:28:48 -04:00
comfyanonymous
2ca934f7d4 You can now select the device index with: --directml id 
Like this for example: --directml 1
 2023-04-28 16:51:35 -04:00
comfyanonymous
3baded9892 Basic torch_directml support. Use --directml to use it. 2023-04-28 14:28:57 -04:00
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.
 2023-04-27 20:03:27 -07:00
comfyanonymous
5a971cecdb Add callback to sampler function. 
Callback format is: callback(step, x0, x)
 2023-04-27 04:38:44 -04:00
comfyanonymous
aa57136dae Some fixes to the batch masks PR. 2023-04-25 01:12:40 -04:00
comfyanonymous
c50208a703 Refactor more code to sample.py 2023-04-24 23:25:51 -04:00
comfyanonymous
7983b3a975 This is cleaner this way. 2023-04-24 22:45:35 -04:00
BlenderNeko
0b07b2cc0f gligen tuple 2023-04-24 21:47:57 +02:00