comfyanonymous 87b00b37f6 Added an experimental VAEDecodeTiled. ... This decodes the image with the VAE in tiles which should be faster and use less vram. It's in the _for_testing section so I might change/remove it or even add the functionality to the regular VAEDecode node depending on how well it performs which means don't depend too much on it.		2023-02-24 02:10:10 -05:00
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cldm	Add ControlNet support.	2023-02-16 10:38:08 -05:00
extra_samplers	Uni_PC: make max denoise behave more like other samplers.	2023-02-22 02:21:06 -05:00
k_diffusion	Add some low vram modes: --lowvram and --novram	2023-02-08 11:37:10 -05:00
ldm	Implement DDIM sampler.	2023-02-22 21:10:19 -05:00
sd1_tokenizer	Initial commit.	2023-01-16 22:37:14 -05:00
model_management.py	Add: --highvram for when you want models to stay on the vram.	2023-02-17 21:27:02 -05:00
samplers.py	Implement DDIM sampler.	2023-02-22 21:10:19 -05:00
sd1_clip_config.json	Initial commit.	2023-01-16 22:37:14 -05:00
sd1_clip.py	Support old pytorch.	2023-02-19 16:59:03 -05:00
sd2_clip_config.json	Use transformers CLIP instead of open_clip for SD2.x	2023-02-05 14:36:28 -05:00
sd2_clip.py	Embeddings/textual inversion support for SD2.x	2023-02-05 15:49:03 -05:00
sd.py	Added an experimental VAEDecodeTiled.	2023-02-24 02:10:10 -05:00
utils.py	Add ControlNet support.	2023-02-16 10:38:08 -05:00