[Tiled VAE] Warning: Unknown attention optimization method . Please try to update the extension.

[Vektor8298]

I have updated A1111 to Version: v1.7.0, Commit hash: cf2772fab0af5573da775e7437e6acdca424f26e, and ever since then, Tiled VAE stopped working with this error: Traceback (most recent call last): File "/mnt/ts512/stable-diffusion-webui/modules/call_queue.py", line 57, in f res = list(func(*args, **kwargs)) File "/mnt/ts512/stable-diffusion-webui/modules/call_queue.py", line 36, in f res = func(*args, **kwargs) File "/mnt/ts512/stable-diffusion-webui/modules/txt2img.py", line 55, in txt2img processed = processing.process_images(p) File "/mnt/ts512/stable-diffusion-webui/modules/processing.py", line 734, in process_images res = process_images_inner(p) File "/mnt/ts512/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py", line 41, in processing_process_images_hijack return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs) File "/mnt/ts512/stable-diffusion-webui/modules/processing.py", line 868, in process_images_inner samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts) File "/mnt/ts512/stable-diffusion-webui/modules/processing.py", line 1157, in sample return self.sample_hr_pass(samples, decoded_samples, seeds, subseeds, subseed_strength, prompts) File "/mnt/ts512/stable-diffusion-webui/modules/processing.py", line 1216, in sample_hr_pass samples = images_tensor_to_samples(decoded_samples, approximation_indexes.get(opts.sd_vae_encode_method)) File "/mnt/ts512/stable-diffusion-webui/modules/sd_samplers_common.py", line 110, in images_tensor_to_samples x_latent = model.get_first_stage_encoding(model.encode_first_stage(image)) File "/mnt/ts512/stable-diffusion-webui/modules/sd_hijack_utils.py", line 17, in <lambda> setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs)) File "/mnt/ts512/stable-diffusion-webui/modules/sd_hijack_utils.py", line 26, in __call__ return self.__sub_func(self.__orig_func, *args, **kwargs) File "/mnt/ts512/stable-diffusion-webui/modules/sd_hijack_unet.py", line 79, in <lambda> first_stage_sub = lambda orig_func, self, x, **kwargs: orig_func(self, x.to(devices.dtype_vae), **kwargs) File "/mnt/ts512/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/mnt/ts512/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 830, in encode_first_stage return self.first_stage_model.encode(x) File "/mnt/ts512/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/autoencoder.py", line 84, in encode moments = self.quant_conv(h) File "/mnt/ts512/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/mnt/ts512/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl return forward_call(*args, **kwargs) File "/mnt/ts512/stable-diffusion-webui/extensions-builtin/Lora/networks.py", line 501, in network_Conv2d_forward return originals.Conv2d_forward(self, input) File "/mnt/ts512/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 460, in forward return self._conv_forward(input, self.weight, self.bias) File "/mnt/ts512/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 456, in _conv_forward return F.conv2d(input, weight, bias, self.stride, RuntimeError: Input type (float) and bias type (c10::Half) should be the same GPU is RX 6600XT, Arch Linux, Python 3.10.6