2a23ba0b8c
Fix unet ops not entirely on GPU.
2023-11-07 04:30:37 -05:00
844dbf97a7
Add: advanced->model->ModelSamplingDiscrete node.
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This allows changing the sampling parameters of the model (eps or vpred)
or set the model to use zsnr.
2023-11-07 03:28:53 -05:00
656c0b5d90
CLIP code refactor and improvements.
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More generic clip model class that can be used on more types of text
encoders.
Don't apply weighting algorithm when weight is 1.0
Don't compute an empty token output when it's not needed.
2023-11-06 14:17:41 -05:00
b3fcd64c6c
Make SDTokenizer class work with more types of tokenizers.
2023-11-06 01:09:18 -05:00
7e455adc07
fix unet_wrapper_function name in ModelPatcher
2023-11-05 17:11:44 +08:00
1ffa8858e7
Move model sampling code to comfy/model_sampling.py
2023-11-04 01:32:23 -04:00
ae2acfc21b
Don't convert Nan to zero.
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Converting Nan to zero is a bad idea because it makes it hard to tell when
something went wrong.
2023-11-03 13:13:15 -04:00
d2e27b48f1
sampler_cfg_function now gets the noisy output as argument again.
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This should make things that use sampler_cfg_function behave like before.
Added an input argument for those that want the denoised output.
This means you can calculate the x0 prediction of the model by doing:
(input - cond) for example.
2023-11-01 21:24:08 -04:00
2455aaed8a
Allow model or clip to be None in load_lora_for_models.
2023-11-01 20:27:20 -04:00
ecb80abb58
Allow ModelSamplingDiscrete to be instantiated without a model config.
2023-11-01 19:13:03 -04:00
e73ec8c4da
Not used anymore.
2023-11-01 00:01:30 -04:00
111f1b5255
Fix some issues with sampling precision.
2023-10-31 23:49:29 -04:00
7c0f255de1
Clean up percent start/end and make controlnets work with sigmas.
2023-10-31 22:14:32 -04:00
a268a574fa
Remove a bunch of useless code.
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DDIM is the same as euler with a small difference in the inpaint code.
DDIM uses randn_like but I set a fixed seed instead.
I'm keeping it in because I'm sure if I remove it people are going to
complain.
2023-10-31 18:11:29 -04:00
1777b54d02
Sampling code changes.
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apply_model in model_base now returns the denoised output.
This means that sampling_function now computes things on the denoised
output instead of the model output. This should make things more consistent
across current and future models.
2023-10-31 17:33:43 -04:00
c837a173fa
Fix some memory issues in sub quad attention.
2023-10-30 15:30:49 -04:00
125b03eead
Fix some OOM issues with split attention.
2023-10-30 13:14:11 -04:00
a12cc05323
Add --max-upload-size argument, the default is 100MB.
2023-10-29 03:55:46 -04:00
2a134bfab9
Fix checkpoint loader with config.
2023-10-27 22:13:55 -04:00
e60ca6929a
SD1 and SD2 clip and tokenizer code is now more similar to the SDXL one.
2023-10-27 15:54:04 -04:00
6ec3f12c6e
Support SSD1B model and make it easier to support asymmetric unets.
2023-10-27 14:45:15 -04:00
434ce25ec0
Restrict loading embeddings from embedding folders.
2023-10-27 02:54:13 -04:00
723847f6b3
Faster clip image processing.
2023-10-26 01:53:01 -04:00
a373367b0c
Fix some OOM issues with split and sub quad attention.
2023-10-25 20:17:28 -04:00
7fbb217d3a
Fix uni_pc returning noisy image when steps <= 3
2023-10-25 16:08:30 -04:00
3783cb8bfd
change 'c_adm' to 'y' in ControlNet.get_control
2023-10-25 08:24:32 -05:00
d1d2fea806
Pass extra conds directly to unet.
2023-10-25 00:07:53 -04:00
036f88c621
Refactor to make it easier to add custom conds to models.
2023-10-24 23:31:12 -04:00
3fce8881ca
Sampling code refactor to make it easier to add more conds.
2023-10-24 03:38:41 -04:00
8594c8be4d
Empty the cache when torch cache is more than 25% free mem.
2023-10-22 13:58:12 -04:00
8b65f5de54
attention_basic now works with hypertile.
2023-10-22 03:59:53 -04:00
e6bc42df46
Make sub_quad and split work with hypertile.
2023-10-22 03:51:29 -04:00
a0690f9df9
Fix t2i adapter issue.
2023-10-21 20:31:24 -04:00
9906e3efe3
Make xformers work with hypertile.
2023-10-21 13:23:03 -04:00
4185324a1d
Fix uni_pc sampler math. This changes the images this sampler produces.
2023-10-20 04:16:53 -04:00
e6962120c6
Make sure cond_concat is on the right device.
2023-10-19 01:14:25 -04:00
45c972aba8
Refactor cond_concat into conditioning.
2023-10-18 20:36:58 -04:00
430a8334c5
Fix some potential issues.
2023-10-18 19:48:36 -04:00
782a24fce6
Refactor cond_concat into model object.
2023-10-18 16:48:37 -04:00
0d45a565da
Fix memory issue related to control loras.
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The cleanup function was not getting called.
2023-10-18 02:43:01 -04:00
d44a2de49f
Make VAE code closer to sgm.
2023-10-17 15:18:51 -04:00
23680a9155
Refactor the attention stuff in the VAE.
2023-10-17 03:19:29 -04:00
c8013f73e5
Add some Quadro cards to the list of cards with broken fp16.
2023-10-16 16:48:46 -04:00
bb064c9796
Add a separate optimized_attention_masked function.
2023-10-16 02:31:24 -04:00
fd4c5f07e7
Add a --bf16-unet to test running the unet in bf16.
2023-10-13 14:51:10 -04:00
9a55dadb4c
Refactor code so model can be a dtype other than fp32 or fp16.
2023-10-13 14:41:17 -04:00
88733c997f
pytorch_attention_enabled can now return True when xformers is enabled.
2023-10-11 21:30:57 -04:00
20d3852aa1
Pull some small changes from the other repo.
2023-10-11 20:38:48 -04:00
ac7d8cfa87
Allow attn_mask in attention_pytorch.
2023-10-11 20:38:48 -04:00
1a4bd9e9a6
Refactor the attention functions.
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There's no reason for the whole CrossAttention object to be repeated when
only the operation in the middle changes.
2023-10-11 20:38:48 -04:00
comfyanonymous
gameltb
Jedrzej Kosinski