From 84d9ce30cb427759547bc7876ed80ab91787d175 Mon Sep 17 00:00:00 2001 From: brkirch Date: Tue, 24 Jan 2023 23:51:45 -0500 Subject: Add option for float32 sampling with float16 UNet This also handles type casting so that ROCm and MPS torch devices work correctly without --no-half. One cast is required for deepbooru in deepbooru_model.py, some explicit casting is required for img2img and inpainting. depth_model can't be converted to float16 or it won't work correctly on some systems (it's known to have issues on MPS) so in sd_models.py model.depth_model is removed for model.half(). --- modules/devices.py | 2 ++ 1 file changed, 2 insertions(+) (limited to 'modules/devices.py') diff --git a/modules/devices.py b/modules/devices.py index 524ec7af..0981ef80 100644 --- a/modules/devices.py +++ b/modules/devices.py @@ -79,6 +79,8 @@ cpu = torch.device("cpu") device = device_interrogate = device_gfpgan = device_esrgan = device_codeformer = None dtype = torch.float16 dtype_vae = torch.float16 +dtype_unet = torch.float16 +unet_needs_upcast = False def randn(seed, shape): -- cgit v1.2.3